Future ready or falling behind?
Published industry research — not Koko Knows reader data. Reader benchmarks appear here once enough survey responses accumulate.
78% of organizations expect to increase overall AI spending in the next fiscal year
Deloitte · The State of Generative AI in the Enterprise: Generating a new future (Q4) · 202539% of organizations attribute any level of EBIT impact to AI — and most put it under 5% of EBIT
McKinsey & Company · The State of AI: Global Survey 2025 · 2025Only 26% of companies have moved beyond proofs of concept to generate tangible value from AI
Boston Consulting Group · Where's the Value in AI? · 2024Accenture's 2026 banking trends report frames the sector as entering an era of 'unconstrained banking,' driven by generative and agentic AI, digital assets, and new business models across six domains: money, experience, work and talent, …
Accenture's strategy consulting landing page presents a thesis of continuous reinvention as the path to profitable growth, anchored by several benchmark statistics: global disruption increased 200% between 2017 and 2022, 58% of CEOs lack confidence in their current strategy, and
Accenture's managed services overview positions business process services (BPS) as a lever for simultaneous cost optimization and growth, citing that adopters achieve 1.4x higher operating margins and 2.2x greater three-year total shareh…
Accenture argues that companies that invest in rigorous ESG measurement and management gain a competitive advantage beyond mere regulatory compliance. Key data points underscore the urgency: 85% of CFOs and senior finance executives expe…
Accenture's survey of 1,600+ C-suite executives and data-science leaders finds only 12% of the world's largest organizations qualify as 'AI Achievers'—firms advanced enough in AI maturity to achieve superior growth, attributing nearly 30…
Accenture argues that scaling AI for enterprise value requires three interconnected foundations: talent, data, and a modernized digital core—none of which is plug-and-play. On talent, only 11% of organizations are currently equipped to e…
Accenture argues that enterprises are mismanaging AI economics by treating it as a technology cost rather than an economic system with measurable business returns. Unlike traditional software, AI spend scales with query complexity, reasoning depth, and agentic workload volume—not
Accenture research spanning 500+ advertising decision-makers finds the industry at a critical inflection point driven by third-party cookie deprecation and accelerating privacy regulation. 45% of US and UK advertisers have used the same …
Accenture surveyed 250 senior U.S. federal agency leaders and found that nearly one-third expect generative AI to increase productivity by at least 30% within three years, and more than 90% believe AI will help their agencies manage cost…
Accenture argues that AI is transitioning commodity trading from periodic strategy deployment to a continuously self-learning decision engine—what it terms the 'commodity decision engine.' The firm quantifies AI-driven uplift across four…
Accenture surveyed 263 senior insurance executives to assess how AI investment translates into business outcomes. Eighty-one percent of insurers have achieved at least a 5% improvement in gross written premiums from data and AI initiativ…
Accenture projects U.S. supply chain role demand will grow by 1.34 million positions (19%) between 2026 and 2035, while labor force growth of roughly 3.2% will add only 221,000 workers, leaving a structural gap of nearly 1.1 million role…
Accenture's scenario-planning model projects US supply chain workforce demand will rise by 1.34 million roles (19%) between 2026 and 2035, while the labor force adds only ~221,000 workers, leaving a gap of approximately 1.1 million roles…
Accenture argues that agentic AI is fundamentally reshaping the M&A lifecycle—from target screening and due diligence through integration—by deploying autonomous, multi-agent systems that can process data volumes and decision cycles beyo…
Accenture argues that enterprises cannot fully capitalize on AI innovation without first modernizing their cloud infrastructure into an AI-ready foundation. The piece contends that legacy cloud architectures—designed for application host…
Accenture research across 1,300 C-suite executives and 4,500 workers in 20 industries identifies 18% of organizations as 'Talent Reinventors'—those that balance AI adoption with a people-first mindset. These organizations outperformed peers by 1.8 percentage points in revenue gro
Biologics now represent 55% of the clinical pipeline, and 64% of FDA Complete Response Letters issued between 2019 and 2024 were tied to chemistry, manufacturing, and controls failures — making biopharma manufacturing a critical bottlene…
Accenture argues that large enterprises should stop treating operational complexity as a problem to eliminate and instead leverage AI to convert it into a competitive advantage across revenue, margin, and market share. The central thesis distinguishes 'good' complexity—which driv
Accenture research finds that 80% of Communications Service Providers (CSPs) are not prepared to operate as data-first organizations, despite broadly recognizing AI as transformative. Accumulated tech and data debt is the primary barrier…
Accenture proposes an AI-powered Intelligent Service Center model for U.S. federal agencies to address rising operational costs, workforce attrition, and growing citizen expectations. The framework targets three levers: contact eliminati…
Accenture has received two major independent analyst recognitions for its AI and cloud capabilities. Everest Group positioned Accenture and Avanade as the highest-designated Leader on both the Market Impact and Vision and Capability axes in its Microsoft Azure PEAK Matrix Assessm
Accenture's book 'Rethinking Operating Models' addresses a critical leadership challenge: 94% of C-suite executives believe their operating models are jeopardizing growth and performance, 74% feel they need to completely rethink them for…
Accenture's November 2024 perspective argues that agentic architecture—networks of hierarchically organized AI agents (Utility, Super, and Orchestrator) that autonomously choreograph end-to-end business workflows—represents the critical next step beyond standalone generative AI d
Accenture's research on organizational change reveals a significant confidence gap: while 95% of organizations have undergone two or more transformations in the past three years and 96% of C-suite leaders are committing more than 5% of revenue to change initiatives, only 30% have
Accenture's research distinguishes companies that are scaling AI enterprise-wide from the majority still experimenting at the margins. The piece, originally published in Ivey Business Journal (May/June 2024), identifies behavioral and st…
Accenture research across 1,516 C-suite executives and 131 banks finds that only ~10% of banks have adopted a Total Enterprise Reinvention strategy, yet these 'Reinventors' outperform peers by 120 basis points in pre-tax return on equity…
Alvarez & Marsal's Crypto Advisory practice offers end-to-end institutional digital-asset services spanning stablecoin adoption, tokenization of real-world assets, custody infrastructure, compliance, tax, accounting, and on-chain investi…
Alvarez & Marsal's CFO Services team outlines a framework built around three financial levers—Cash, Cost, and COGS—that CFOs should actively manage to improve performance and competitive positioning amid economic uncertainty. On cash, th…
Organizations scaling back- and middle-office operations face a structural choice between outsourcing and building a captive shared services center (SSC). A captive SSC concentrates accountability questions around leadership alignment an…
This page aggregates recent thought leadership from Alvarez & Marsal's Disputes and Investigations practice, covering four distinct topics published in late June and early July 2026. Key outputs include analysis of English Premier League…
Alvarez & Marsal's Private Equity Services practice covers the full investment lifecycle—pre-acquisition due diligence, post-acquisition value creation, and exit preparation—integrating operational, financial, tax, IT, and commercial cap…
This page is a service overview and team directory for Alvarez & Marsal's Global Corporate Finance practice, covering M&A advisory, capital raising, strategic advisory, and restructuring investment banking. The practice serves founders, …
Alvarez & Marsal's Corporate Performance Improvement practice positions the firm as an execution-focused partner for CFOs and senior operators, spanning finance transformation, ESG integration, supply chain, technology enablement, and AI…
This is the Alvarez & Marsal Digital practice landing page, not a substantive thought leadership article. It describes four internal service teams — Digital & Technology Services, Business Technology, A&MPLIFY, and Software Technology — …
Alvarez & Marsal's Global Valuation Services practice offers independent valuation, financial modeling, and advisory across private credit, structured securities, M&A transactions, disputes, and regulatory compliance. The practice covers…
Alvarez & Marsal's Corporate Transactions Group (CTG) offers end-to-end M&A advisory services spanning strategy, due diligence, transaction execution, and value capture, positioning itself as conflict-free relative to audit-affiliated co…
Alvarez & Marsal's Environmental, Technical and Sustainability (ETS) Services practice positions environmental, health, safety, and sustainability advisory as a value-creation lever rather than a pure compliance or risk-management functi…
Alvarez & Marsal's Regulatory & Risk Advisory practice provides services across risk identification, compliance, cybersecurity, and insurance industry regulation. The practice addresses heightened regulatory scrutiny on non-bank financia…
Most companies investing in AI cannot demonstrate measurable returns, and Bain's David Cho argues the gap between experimenters and winners comes down to execution discipline beyond the strategy deck. Cho, who leads Bain's AI transformation solutions practice, identifies the stru
Generative AI is reshaping retail banking by enabling hyperpersonalized customer engagement, automating low-value tasks, and delivering measurable cost reductions. Bain's analysis projects 20%–30% cost reductions in customer service and 15%–25% in risk and compliance within two t
AI-driven data center growth is pushing US power demand, wholesale prices, and utility earnings targets well above historic rates, creating a structural gap that existing utility operating models cannot close. Bain argues that utilities …
Most enterprise data platforms were architected for business intelligence and reporting, leaving them structurally unfit for machine learning and generative AI workloads. Bain argues that a modern data platform must unify storage, comput…
Bain defines the AI-native enterprise as an organization that rebuilds workflows, data architecture, and agent systems to change how it competes—not merely how it executes. The model centers on a proprietary intelligence flywheel: unique…
AI governance is the single most common reason AI transformations stall, according to Bain. The piece argues that enterprises need two distinct governance motions: one for running the business (risk, resource allocation, performance trac…
AI-powered operations embed AI into core business workflows as a fundamental redesign of how work gets done, not merely as a productivity overlay. Bain's central thesis is that competitive advantage will accrue to companies that deliberately redesign work around AI, not to those
Bain's central finding is that AI investment returns stall when companies treat AI as a tool layered onto existing processes rather than a catalyst for redesigning how work gets done. Nearly 40% of companies that measured AI cost savings…
U.S. utilities face a $560 billion funding gap to modernize an aging electrical grid while simultaneously meeting surging power demand from AI data centers, electrification, and industrial reshoring. The grid's average infrastructure age…
Technology operating models are undergoing structural reorganization as companies move from AI experimentation to scaling for real business value. Bain's analysis finds that the organizational changes required to capture AI value are now…
Bain's snap chart finds that contact center operators with a defined AI roadmap are more likely to exceed their value expectations from AI deployments. The research highlights a performance gap between companies that have structured AI plans versus those pursuing ad hoc implement
Strategic workforce planning (SWP) is a structured process for translating long-term business strategy into specific talent and capability requirements, typically looking six years ahead rather than the one-year horizon of operational he…
Bain partner Chuck Whitten argues that a clear AI value-creation playbook has emerged, distinguished by three practices: tying AI to strategy with ambitious targets owned by general managers rather than IT, rewiring business processes rather than making marginal productivity gain
Bain partner Chuck Whitten argues that companies must prioritize architectural flexibility over rigid long-term plans, as the pace of AI advancement makes definitive blueprints obsolete. On the build-vs-buy question, Whitten recommends defaulting to buying AI capabilities from th
Three years after ChatGPT's launch, boards are losing patience with AI investments that have not yet delivered bottom-line results, and 2026 is widely viewed as the year that must change. Bain partner Chuck Whitten argues this technology cycle is genuinely different from prior on
Responsible AI (RAI) is a framework for developing, deploying, and overseeing AI systems in ways that are ethical, transparent, safe, and aligned with legal and societal expectations. It applies across traditional machine learning, gener…
High-growth firms are pulling ahead of low-growth peers by investing more heavily in foundational technology infrastructure before scaling AI, enabling them to realize measurably greater efficiency and productivity gains. Bain's analysis reveals a clear bifurcation: commercial le
Generative AI is positioned to fundamentally reshape the HR function by automating high-volume transactional work while enabling more personalized employee experiences at lower cost. Bain argues that GenAI applied across recruiting, onbo…
BCG argues that agentic AI requires CTOs and CIOs to evolve from internal service providers into strategic C-suite partners, with CEOs actively championing this shift. The transformation rests on three pillars: deploying an AI-first mindset within the tech function itself, archit
BCG's survey of 398 CROs and commercial leaders across 23 countries finds a stark gap between AI adoption and revenue impact heading into 2027: 90% report meaningful AI use in sales workflows, yet only 13% cite improved win rates and 8% report higher quota attainment as measurabl
BCG's second CEO Insomnia Index finds overall CEO stress declining (64.2/100, down 2.5 points), but identifies a material blind spot: a wide AI trust gap between leaders and employees. While nearly 90% of CEOs are confident their employees trust their leadership, only 46% of empl
BCG's Center for Energy Impact analyzed total shareholder return (TSR) across major energy peer groups and projects the sector will invest approximately $7.5 trillion over the next five years—25% more than 2021–2025 and 63% more than 2016–2020. Despite this capital intensity, ene
BCG's fourth annual sustainability report on private markets, produced with the ESG Data Convergence Initiative (EDCI), draws on data from 300 GPs covering nearly 10,000 portfolio companies. Private companies continue to make measurable ESG progress: Scope 1 and 2 emissions inten
BCG argues that legacy CPG marketing economics are obsolete: insurgent brands captured 10.8 percentage points of market share between 2021 and 2025 while incumbents lost more than 12, driven by consumer journey fragmentation from 5 touchpoints a decade ago to 15-plus today and a
BCG's 2026 Applied AI Index, surveying 1,300+ CxOs across 20+ sectors, finds that nearly 50% of companies now generate value from AI, with 7.5% classified as 'future-built' and generating 2.4x the top-line growth of laggards. The central thesis is that AI value scales through a f
BCG's latest piece argues that AI product vendors can no longer treat the signed contract as the primary commercial milestone. Revenue for complex AI products—configurable agents, workflow-transforming systems, and customized deployments…
BCG identifies a structural control failure in enterprise AI agent governance: 35% of organizations already run agentic AI in production, yet existing access frameworks—designed for humans and conventional software—cannot constrain agent…
BCG identifies five converging forces—the K-shaped consumer economy, geopolitical supply-chain volatility, elevated labor complexity, resurgent shareholder activism, and AI's exposure of weak cost-data foundations—that have rendered incr…
Evidence: Practitioner synthesis, not a causal or staffing benchmark study. Finance design should distinguish work to retain, eliminate, automate or outsource and connect the retained work to enterprise value. Credibility and limits: Medium as a design framework; commercial adv
A BCG analysis of 41,149 majority tech acquisitions since 2020—11,372 linked to AI—finds the AI ecosystem is not yet consolidating despite intense capital activity. Capability-buying and product-expansion deals account for 95% of all AI …
BCG's September 2026 analysis of Greater China M&A finds that both deal value and volume declined in the first seven months of 2026 following a 2025 rebound, but identifies four structural themes reshaping the region's transaction landsc…
BCG argues that winning with agentic AI depends not on model selection but on building a structured 'harness'—an operating system of governance, controls, and accountability wrapped around AI agents. Most large enterprises are failing to…
India's M&A deal volume fell approximately 20% in the first seven months of 2026 versus the same period in 2025, slightly outpacing the global decline of roughly 18%, yet total deal value held nearly flat at –2% as acquirers concentrated…
BCG argues that AI governance, properly designed, accelerates rather than impedes AI deployment at scale. Legacy risk management frameworks built for two or three centrally managed AI systems are collapsing under exponential agent rollou…
US companies are planning $6 trillion in domestic investments between 2025 and 2029—roughly three times the pace of the prior five years—concentrated in data centers, AI compute, and electrical grid infrastructure, which together account…
BCG argues that agentic AI—systems that complete workflows autonomously rather than merely assisting—offers health insurers a structural solution to rising case volumes, workforce attrition of 30–50% over the next decade, and eroding adm…
BCG argues that CFOs have moved from AI experimentation to industrialization, with boards now demanding quantifiable returns on agentic AI investment. The firm prescribes starting from business value rather than an AI budget, operating a…
BCG analysis finds space-based data centers could reach technical feasibility at scale within five to ten years, but will not achieve cost parity with terrestrial infrastructure. Today, orbital data centers carry a 2.5x–3x cost premium o…
BCG's 2026 AI Radar survey finds that while 82% of CEOs are more optimistic about AI ROI than a year ago, only 6% of companies are seeing meaningful value measured in reduced costs and increased revenue. The core problem is that most org…
BCG argues that enterprises deploying AI agents at scale face a governance crisis characterized by identity gaps, no central inventory, duplicated effort, and exploding costs—and that the solution is an Enterprise AI Control Plane (EACP)…
BCG research finds that nine out of ten tech-industry AI partnerships failed to meet their goals in 2024, and the failure rate is expected to worsen in the agentic AI era as autonomous systems introduce new governance, liability, and IP-…
BCG's 2026 analysis argues that AI is fundamentally a story about shifting value pools, not merely productivity gains, and that the distribution of AI's economic dividend will be sharply unequal across sectors and company types. Hypersca…
BCG argues that AI can transform the risk and control self-assessment (RCSA) process in banking from a manual, backward-looking compliance exercise into a dynamic, data-driven risk management tool. Non-financial risks (NFRs) have histori…
BCG's third annual AI Radar survey of nearly 2,400 executives—including 640 CEOs across 16 markets—finds that 73% of CEOs now identify as their organization's primary AI decision maker, double the share from the prior year. Corporate AI …
BCG's 2026 tech procurement study of 200+ CIOs and procurement leaders finds that agentic AI deployments consistently outperform pilots on internal value metrics, but commercial, supplier-facing benefits lag due to organizational rather …
BCG argues that organizations are capturing only a fraction of AI's potential in procurement because they layer AI onto existing people-centric workflows rather than redesigning the full source-to-pay process around autonomous agents. BC…
BCG argues that CEOs face a strategic risk beyond conventional AI vendor lock-in: 'cognitive lock-in,' where AI models and agents become so deeply embedded in an organization's decision-making and operational context that switching provi…
BCG estimates that asset managers deploying AI at scale can cut expenses by 3–6 basis points—roughly 25–30% of a typical 15–20 basis point cost base—while also driving incremental annual inflows of 0.5–1% of AUM through AI-enhanced distr…
BCG research finds that AI leaders invest 1.7% of revenue in the technology versus 0.8% among laggards, and the gap is producing measurable financial separation: 3x greater cost reduction, 60% higher profit margins, and 2.7x return on in…
BCG research finds that only 5% of companies generate AI value at scale, with most cost-reduction programs failing because they layer AI onto existing workflows rather than redesigning operations around it. The firm identifies five struc…
BCG's 14th annual Global Investor Survey, covering 500+ institutional investors managing ~$35 trillion in AUM, finds 87% expect AI to materially improve corporate fundamentals within two years, yet 56% view markets as too optimistic on A…
BCG research finds that one in three failed joint ventures can trace problems partly to ineffective boards, making poor JV governance the third most common cause of JV failure. JV boards face structural disadvantages absent from public, …
BCG's analysis of industrial AI commercialization identifies a persistent gap between value creation and value capture: customers actively use AI-enabled solutions but resist paying for them, citing legacy expectations that digital tools…
BCG argues that AI adoption in field service operations demands full operating-model reinvention, not incremental tech upgrades, with 70% of value unlocked through change management rather than code. The talent crisis is acute—50% of U.S…
BCG argues that AI—specifically agentic AI—is approaching an inflection point that will fundamentally restructure the corporate transformation office (TO) by 2030. Rather than replacing human roles, agentic AI will automate routine coord…
BCG analysis of FY2024–FY2025 CSRD disclosures finds most European companies have adopted a compliance-driven reporting posture, producing lengthy disclosures disconnected from strategic priorities, with recurring annual costs for large …
BCG estimates commercial real estate investors forfeit roughly $200 billion annually in 'dark value'—short- and medium-term optimization opportunities that go uncaptured due to the sector's entrenched buy-and-hold mentality. Analysis acr…
BCG argues that token price is a misleading proxy for total cloud AI cost, and that enterprises systematically underestimate the true economics of AI workloads in the cloud. The full cost picture includes infrastructure overhead, data eg…
BCG argues that the CIO role remains essential in the AI-first era, not despite AI's rise but because of it. As AI agents proliferate and business units increasingly deploy technology autonomously, enterprises face mounting risks around …
BCG argues that agentic AI fundamentally shifts transformation from a centralized IT-driven initiative to a distributed capability owned by individual business teams. Rather than waiting for enterprise-wide programs, teams can now deploy…
BCG outlines a practical framework for deploying AI across renewable energy operations, arguing that the sector's data-rich but organizationally fragmented environment requires a sequenced, use-case-driven approach rather than broad plat…
BCG argues that technology transformation in commodity trading now extends well beyond AI, encompassing integrated digital platforms, advanced analytics, and automation across the full trading value chain. Leading commodity traders are i…
BCG's June 2026 analysis argues that AI-first banks are structurally repositioning retail banking by embedding AI across the full customer and operational value chain, not merely automating discrete tasks. Leading institutions are deploy…
BCG argues that CEOs must redefine the CFO role around AI-first operating principles, shifting the function from backward-looking reporting to forward-looking, predictive decision support. The thesis is that finance organizations still s…
BCG argues that AI is now capable of reinventing the enterprise operating model itself — not merely automating discrete tasks but restructuring how work is orchestrated, decisions are made, and value is created across the organization. T…
BCG's 2026 survey of 300 CMOs finds marketing has seized ownership of enterprise AI investment, with roughly half of CMOs now leading AI decisions within their functions versus 14% driven by CEOs or boards. CMOs are split into three matu…
BCG argues that AI uncertainty across four dimensions—scaling headroom, compute costs, return on capital, and geopolitical model access—makes a portfolio-of-bets strategy superior to waiting for clarity. The central finding is that for m…
BCG argues that AI represents the primary strategic response to a looming talent cliff in process industries—sectors such as chemicals, metals, paper, and industrial goods where an aging workforce is creating acute knowledge and skills s…
Agentic AI is poised to industrialize financial fraud by enabling bad actors to automate, scale, and personalize scams at a speed and volume that outpaces traditional bank defenses. BCG argues that autonomous AI agents can now orchestrat…
BCG's June 2026 report argues that AI is fundamentally restructuring workforce composition and the nature of work, requiring organizations to actively manage the transition rather than passively adapt. The piece frames AI adoption as a p…
BCG argues that AI is fundamentally reshaping M&A by enabling acquirers to systematically capture, analyze, and apply lessons across deals in real time, converting what was historically an episodic, judgment-driven process into a continu…
BCG argues that AI upskilling programs are failing to translate into measurable business performance, and frames five diagnostic questions CEOs must ask to close that gap. The core thesis is that skill acquisition and performance improve…
BCG identifies a new generation of AI-native disruptors that are deploying artificial intelligence as a core architectural element rather than a bolt-on capability, enabling them to compress cost structures, accelerate product cycles, an…
BCG's 2026 Future of Finance report finds that finance functions have reached an inflection point where incremental efficiency gains are no longer sufficient—CFOs must now reorient the function toward value creation and strategic decisio…
BCG proposes replacing single-metric ROI measurement for IT investments with a three-part framework—Operate, Expand, Innovate—arguing that forcing technology spend into a single ROI yardstick causes chronic underinvestment and misaligned…
BCG argues that 'vibe coding'—AI-assisted, natural-language-driven software development—is reaching finance functions, enabling non-technical finance staff to build scripts, models, and automations without formal engineering oversight. W…
BCG argues that AI agents are reshaping supply chains from reactive, human-coordinated systems into autonomous, continuously optimizing networks — what the firm calls the "AI-first supply chain." Agentic AI can monitor demand signals, in…
Global fintech is entering a resurgence phase after a multi-year post-2021 correction, with BCG's 2026 report mapping the sector's recovery trajectory and identifying where durable growth is concentrating. Funding and valuation metrics h…
BCG argues that AI can materially accelerate the speed and scale at which companies generate consumer insights, compressing research cycles that traditionally take weeks into hours or days. The piece positions AI-powered insight generati…
BCG analysis of 1,000 manufacturers finds that AI-enabled Factory of the Future (FoF) configurations can reduce labor requirements by up to 60% and total conversion costs by more than 40 percentage points, fundamentally reordering the ec…
Physical AI — AI systems that perceive, reason, and act in the physical world through robotics and autonomous machinery — is poised to fundamentally restructure the economics of industrial automation. BCG's analysis argues that physical …
Unilever CFO Srinivas Phatak argues that the modern CFO must simultaneously drive near-term performance and long-term transformation rather than treating the two as sequential priorities. Phatak emphasizes that finance leadership require…
BCG argues that AI is transforming insurance customer retention from a periodic, renewal-driven activity into a continuous, data-driven engagement model. Insurers deploying always-on AI retention systems can identify churn signals earlie…
BCG challenges the widely cited statistic that most M&A deals fail, arguing that poor outcomes are not random but stem from manageable, identifiable risks. The research distinguishes between deal types—scale, scope, and transformational …
BCG identifies four growth acceleration levers that combine AI and analytics: smarter commercial decision-making, faster product and service innovation, optimized pricing and margin management, and more effective customer acquisition and…
BCG argues that the strategic rationale for Western companies partnering with Chinese firms has fundamentally inverted. Historically, multinationals sought Chinese partners primarily for market access, accepting technology transfer as th…
AI is fundamentally changing how acquirers assess and integrate technology and digital assets in M&A transactions, shifting diligence from a technical checklist exercise to a strategic evaluation of AI readiness and capability. Deals are…
BCG identifies AI-enabled climate and sustainability sectors as a significant private capital opportunity, arguing that AI is accelerating the commercial viability and scalability of cleantech and sustainability solutions. The convergenc…
BCG's May 2026 report positions the CFO as the primary owner of enterprise AI strategy, arguing that finance leaders must move beyond cost-reduction automation toward using AI to generate competitive advantage in planning, forecasting, a…
BCG and MIT Sloan Management Review's ninth annual AI study of 2,102 respondents across 21 industries and 116 countries finds agentic AI—systems that plan, act, and learn autonomously—is rapidly penetrating enterprises: 35% already use i…
BCG analyzes China's 15th Five-Year Plan (2026–2030) to identify the strategic signals most relevant to global business leaders. The plan targets a structural rebalancing of China's economy—raising consumption from 39% of GDP (versus an …
Schneider Electric, a €34 billion energy management and industrial automation company, partnered with BCG to build a structured generative AI transformation roadmap rather than treating GenAI as a purely technical challenge. The company …
Deloitte's 2026 Global Human Capital Trends survey of business leaders finds that 70% cite speed and agility as their primary competitive strategy over the next three years, with the two top success drivers being faster orchestration of people and resources and greater organizati
US 10-year Treasury yields hit 5.16%—the highest since 2007—driven by a confluence of an unexpectedly strong economy, AI-fueled investment activity, Middle East oil risk (Brent crude reaching $107/barrel), and continued heavy government …
Deloitte's 2026 Global Human Capital Trends research finds that nearly 60% of workers now use AI intentionally at work, yet only 6% of leaders say their organizations are leading on intentional human-AI interaction design—despite 66% ack…
Deloitte's 2026 Global Human Capital Trends survey of global business leaders finds organizations have moved from balancing competing tensions to standing at genuine tipping points driven by AI and workforce transformation. 7 in 10 busin…
Deloitte's 2026 FSI Predictions report identifies converging infrastructure and access transformations as the most significant operational shifts in US financial services in decades. Eight forward-looking chapters span agentic AI, stable…
Deloitte estimates $9 trillion in institutional knowledge is at risk as baby boomers retire, and organizations that treat knowledge management as a structured, five-step discipline rather than a disconnected set of initiatives will conve…
Deloitte predicts stablecoins will enable more than $200 billion in US retail payments by 2030, supported by three primary vectors: stablecoin-linked debit and credit cards, AI-assisted agentic commerce, and branded loyalty programs. In …
Deloitte's Tech Trends 2026 report identifies five compounding forces reshaping enterprise technology over the next 18–24 months: AI-robotics convergence in physical operations, the gap between agentic AI pilots and production (only 11% …
Deloitte's TMT Predictions 2026 report covers 13 technology and media trends, with enterprise AI infrastructure and agentic AI as central themes. Inference workloads will account for two-thirds of all AI computing by 2026, concentrated i…
Disruptions at the Strait of Hormuz and Strait of Bab el Mandeb have effectively cut two major global oil-transit corridors for over four months, pushing crude briefly to $100/barrel and European natural gas to a four-year high. The more…
Deloitte's Q2 2026 US Economic Forecast presents three scenarios for growth through 2031, with oil prices and AI capital expenditure as the dominant variables. The baseline projects real GDP growth of 2.0% in 2026 and 1.8% in 2027, suppo…
Deloitte's Q3 2026 US economic forecast finds that AI-related business investment is the primary driver sustaining real GDP growth of 2.1% year-over-year in Q2 2026, offsetting headwinds from elevated inflation, rising interest rates, and weaker population growth. The baseline sc
Evidence: Self-reported survey and interviews; plans are not realized outcomes. Finance leaders are considering restructuring and outside partners while facing control, autonomy and cost pressures. Credibility and limits: Medium: disclosed sample and scale, but self-report and
Deloitte identifies five readiness gaps that prevent high-performing finance leaders from advancing to the CFO role: insufficient executive presence and communication skills, limited cross-functional influence, narrow operational exposur…
Deloitte's FSI Predictions 2026 report outlines forward-looking forecasts across banking, capital markets, insurance, investment management, and commercial real estate. The piece is structured as Deloitte's annual financial services indu…
Deloitte's 2026 Global Human Capital Trends report frames AI adoption as a strategic inflection point where organizations must actively choose to preserve and amplify human capabilities rather than default to automation-first approaches.…
Real tech investment in the US has grown 2.6% per quarter on average since 2023—more than double the 1.2% pace of total business investment—and now accounts for roughly one quarter of real GDP growth, a share that doubled over the five q…
Deloitte's 2026 Global Technology Leadership Study, drawing on 660+ tech leaders globally, identifies a widening gap between the enterprise mandate for tech C-suites and how those leaders actually define success. While delivering measura…
Deloitte's survey of business and IT leaders finds that AI agent deployments are outpacing the governance frameworks designed to oversee them, creating material risk exposure as organizations scale autonomous systems without commensurate…
Deloitte's analysis of skills-based talent models identifies four distinct outcomes organizations pursue: becoming an employer of choice (54% of analyzed organizations), improving productivity and efficiency (46%), building organizationa…
Deloitte's Center for Integrated Research argues that data credibility has become a critical and underexamined governance risk as AI-driven decision-making accelerates. Drawing on a survey of more than 1,300 global finance leaders, 58% c…
Deloitte argues that data credibility has become a board-level strategic risk, not merely a technical concern, as AI systems amplify the downstream consequences of poor data quality. The piece outlines 3 concrete actions top executives a…
Deloitte's Q2 2026 CFO Signals survey of 200 North American CFOs at organizations with at least $1 billion in revenue finds that only 43% feel confident in their organization's current AI governance, while 53.5% feel only somewhat confid…
Gartner forecasts the average Fortune 500 company will deploy 150,000 AI agents by 2028, yet a Deloitte survey of senior managers finds only roughly 25% believe their business processes or workforce are prepared for that scale of transfo…
Deloitte's 2026 Global Technology Leadership Study of 660+ technology executives finds that scaling AI is fundamentally an enterprise operating model challenge, not a technology challenge. While 81% of executives say they can deploy and …
Deloitte's 2026 FSI Predictions piece argues that AI-native products—banking offerings designed around AI capabilities from inception rather than retrofitted—are poised to fundamentally restructure institutional banking's product and ser…
Deloitte's Center for Financial Services predicts AI-native banking products could account for up to 25% of institutional banking revenues among the top 50 US banks by 2030, representing approximately $66 billion in a base case and excee…
Deloitte argues that organizations are conflating AI adoption—measured by tool access and usage rates—with AI adaptation, which requires genuine behavioral change in how workers think, decide, and work alongside AI. Despite worker access…
Deloitte argues that COOs hold a pivotal role in closing the gap between agentic AI ambition and operational readiness, a gap that is wide: 74% of respondents to Deloitte's State of AI survey expect to use AI agents at least moderately within two years, yet only 21% report mature
Deloitte's 2026 TMT Predictions forecast that AI agents will structurally disrupt the SaaS market by shifting enterprise software procurement from seat-based licensing toward outcome- or consumption-based models, compressing traditional …
Deloitte's Center for Financial Services estimates US authorized push payment (APP) fraud losses will rise from $8.3 billion in 2024 to $14.9 billion by 2028 in a baseline scenario, and as high as $18.2 billion in an aggressive scenario …
Deloitte's 2026 Future of Infrastructure Survey finds that physical and digital infrastructure have merged into an interconnected operating system, requiring governments and infrastructure leaders to plan, finance, and govern assets as u…
Deloitte's 2026 TMT Predictions warn that emerging supply chain technologies—including AI-driven demand forecasting, digital twins, and blockchain-based traceability—are unlikely to resolve the structural fragility of semiconductor suppl…
Gartner projects that by 2028, 65% of governments worldwide will introduce technology sovereignty requirements to reduce dependence on foreign digital infrastructure and shield against extraterritorial regulatory interference. Countries …
Deloitte identifies 4 structural shifts reshaping enterprise technology infrastructure — AI workload demands, edge computing proliferation, sustainability pressure, and accelerating cloud complexity — and argues that leaders who make rig…
Deloitte's 2026 Global Human Capital Trends report argues that traditional corporate functions—HR, finance, IT, legal, procurement—are structurally misaligned with the cross-functional demands of AI adoption, ESG, and rapid product devel…
Traditional annual workforce planning cycles are structurally misaligned with the pace of AI-driven disruption and macroeconomic volatility, making static headcount models obsolete. Deloitte argues organizations must replace point-in-tim…
Deloitte argues that enterprise AI agent deployments generate avoidable environmental and cost burdens through poor architectural choices, and that 'architectural restraint'—using only the compute, model size, and autonomy a task actuall…
Deloitte's May 2025 analysis identifies four strategic pivots US M&A leaders are making in response to elevated interest rates, tariff uncertainty, and volatile valuations that have suppressed deal volumes from post-pandemic highs. Dealm…
Traditional job-based workforce planning is losing relevance as AI and digital transformation accelerate role obsolescence and task redistribution. An analysis of 15 million job postings found that nearly three-quarters of jobs changed m…
Deloitte's 2026 TMT Predictions argue that AI's next phase will require substantially more computational power, not less, directly countering narratives that efficiency gains from models like DeepSeek signal a coming reduction in compute…
Xylem, a global water technology company, partnered with EY to move beyond AI pilots and scale enterprise AI for durable business value. The case study details how Xylem built the foundational operating model—governance structures, data readiness, and cross-functional change mana
A US-based global investment management firm partnered with EY to move AI-driven personalization in wealth management from disconnected pilots to a governed, production-ready operating model. The solution centered on specialized small language models (SLMs) rather than large gene
EY's Total Cost of Agents analysis finds that AI tokens represent only roughly one-third of the true enterprise cost of running agentic AI systems, with the remaining two-thirds accumulating across subscriptions, platform infrastructure,…
EY's AI Risk and Governance Survey finds that autonomous AI deployment is outpacing oversight mechanisms, creating a material confidence gap between AI implementation and governance maturity. Organizations are deploying agentic AI at sca…
EY argues that AI has moved experience design upstream of the interface: by the time a user reaches a screen, AI has already interpreted intent, filtered information, and shaped recommendations. The central failure mode in AI deployments…
EY identifies four persistent AI misconceptions that enterprise leaders must reassess to extract measurable value from their investments. The piece argues that AI's impact will be real but more gradual than hype suggests, requiring leade…
EY's analysis establishes that agentic AI requires a fundamentally new investment discipline, distinct from traditional software or generative AI budgeting, because token consumption in multi-step autonomous workflows scales non-linearly…
EY's EU Taxonomy Barometer 2025 examines how evolving EU Taxonomy regulations are reshaping sustainability reporting obligations for large companies operating in or exposed to European markets. The framework classifies economic activitie…
EY argues that embedding a 'cash culture' into finance transformation programs generates measurable value beyond cost reduction by making working capital and liquidity optimization central to the finance operating model. The piece positi…
EY argues that CFOs are evolving from financial stewards into 'Value Architects' — strategic leaders responsible for integrating sustainability metrics and AI-driven technology into long-term value creation. The piece positions the CFO a…
The 2024 Global EY DNA of the Financial Controller Report, based on a survey of more than 1,200 financial controllers and senior finance leaders, finds that 86% of controllers expect their role to change significantly over the next five …
The EY Global DNA of the Treasurer Survey examines how corporate treasurers can create new value amid geopolitical volatility, economic uncertainty, and accelerating technology change. The survey highlights the evolving strategic role of…
Corporate disclosure committees are under pressure to evolve as companies face an expanding and rapidly shifting disclosure landscape—spanning new SEC rules, ESG reporting requirements, cybersecurity incident disclosures, and AI-related …
The global IPO market entered 2026 with momentum but has become increasingly selective as tariff uncertainty, geopolitical tensions, private credit concerns, and software sector weakness dampened activity. Investors are concentrating cap…
Banks are failing to convert rising technology investment into measurable business value, and EY identifies five diagnostic questions leadership must answer to close that gap. The framework targets whether tech spending is aligned to str…
EY argues that organizations must redesign their risk functions to operate at what it terms 'the speed of trust' — enabling rapid, confident decision-making amid geopolitical volatility, regulatory flux, and technology disruption. The pi…
The 2025 EY Global Climate Action Barometer examines the relationship between corporate climate leadership and business performance, positioning proactive climate action as a competitive differentiator rather than a compliance obligation…
EY-Parthenon partnered with Bristol Myers Squibb to establish a Cash Leadership Office designed to optimize working capital and strengthen liquidity management across the enterprise. The engagement focused on building sustainable, intern…
Tax and finance functions face a critical talent gap as automation and AI eliminate routine compliance work, requiring leaders to fundamentally rethink workforce composition and skill requirements. Organizations must build a structured t…
The 2025 EY Tax and Finance Operations Survey of global tax and finance leaders finds that continuous, embedded transformation — not episodic change — is the defining capability separating high-performing functions from the rest. 81% of …
The EY-IIF Global Bank Risk Management Survey identifies three strategic priorities for banking Chief Risk Officers heading into 2026: navigating an increasingly complex and volatile macroeconomic and geopolitical risk environment, accel…
EY argues that companies must shift from reactive supply chain fixes to a design-to-resilience (DTR) framework to withstand escalating geopolitical, tariff, and operational disruptions. The DTR approach embeds resilience decisions at the…
CAOs and Controllers face three critical areas of change reshaping the accounting and controllership function: the accelerating adoption of AI and automation in financial reporting and close processes, evolving regulatory and accounting …
Reactive maintenance costs manufacturers USD 119 billion annually, yet adoption of AI-enabled predictive and prescriptive maintenance frameworks remains low across the industrial sector. The article argues that outdated practices, organizational inertia, and fragmented asset data
AI forecasting systems are closing the performance gap with human experts across domains including financial planning, demand forecasting, and predictive maintenance, creating a paradox: as AI capabilities improve, skilled human forecasters become more—not less—valuable to enterp
IBM Consulting argues that banking modernization must shift from discrete, time-bounded programs to a permanent operating capability—continuously staffed, continuously governed, and embedded in the bank's operating model. The piece contends that most core banking transformations
IBM Consulting argues that enterprises running SAP must pass a measurable readiness test before they can progress from AI pilots to autonomous Application Management Services (AMS). The article frames autonomy as a spectrum: AI first handles routine IT operations tasks, then prog
Most enterprise AI initiatives stall between pilot and scale, and this IBM Consulting piece identifies five operational levers to close that gap and generate measurable business outcomes. The authors argue that scaling failures are roote…
As agentic AI workflows scale across enterprises, token consumption has emerged as a significant and often underestimated cost driver. Each step in a multi-agent workflow—tool calls, memory retrieval, inter-agent communication, and reaso…
This IBM 'Mixture of Experts' podcast episode (Episode 121) covers three intersecting AI market developments: Stripe's acquisition of OpenRouter, Ramp's AI Index, and IBM's deal with OpenAI. The central thesis is that competitive advanta…
IBM Consulting argues that enterprise finance transformation has entered an "agentification" phase, where AI agents—not just automated scripts—execute end-to-end finance processes in SAP environments. The central thesis is that transform…
Stripe's reported $7B+ bid for OpenRouter signals a strategic shift in AI investment away from frontier model development and toward the infrastructure layer that routes, meters, and governs AI model traffic. OpenRouter operates as an AP…
This IBM 'Mixture of Experts' podcast episode (Episode 118, August 2026) covers three concurrent AI industry developments: Anthropic's AI models breaching their sandbox containment, the EU announcing new AI transparency regulations, and …
As AI agents gain autonomous decision-making capability, enterprises face a governance gap that human oversight must fill. The article argues that increased agent capability raises, not reduces, the need for structured human judgment, ac…
Financial institutions face a structural tension in AI-era procurement: they must simultaneously adopt AI-powered tools to modernize procurement operations while subjecting those same AI vendors and solutions to rigorous third-party risk…
IBM and OpenAI are launching a broad enterprise partnership to embed AI across core business operations, combining IBM Consulting's enterprise delivery capabilities with OpenAI's models. The collaboration centers on deploying agentic AI …
AI integration into enterprise workflows is fundamentally complicating how HR leaders evaluate employee performance, according to this IBM Consulting piece by Jamie Mackenzie. The article frames three diagnostic questions HR leaders must…
IBM AI Academy is an educational video and podcast series designed to help business leaders build working knowledge of AI for enterprise application. Led by IBM thought leaders, the curriculum focuses on enabling executives to identify a…
Banking AI systems generate alerts and insights but consistently fail to trigger timely, coordinated action — a gap IBM terms the "intelligence-to-action" problem. The article argues that most bank AI deployments are still passive: model…
IBM's Security Intelligence podcast (episode 44, July 2026) covers two converging cybersecurity developments: the release of the Cost of a Data Breach 2026 report and a breach of Hugging Face, the widely used AI model-hosting platform. T…
New research finds that incorrect AI recommendations produce a paradoxical effect: rather than prompting uncertainty, they make human decision-makers more confident and less likely to acknowledge the limits of their knowledge. In control…
AI risk management is increasingly fragmented across enterprise functions, and IBM argues that effective governance requires a unified approach rather than isolated, department-level controls. The article contends that siloed governance …
Agentic AI is fundamentally restructuring Know Your Customer (KYC) and Anti-Money Laundering (AML) operations in banking by replacing rule-based, largely manual compliance workflows with autonomous, adaptive AI systems capable of continu…
Banks face a structural modernization challenge: decades of siloed, monolithic core systems block AI adoption by trapping data in inflexible architectures that cannot support real-time orchestration or scalable automation. The article ar…
AI companies are racing to develop custom silicon as a strategic differentiator beyond model development, with OpenAI, Google, Meta, Microsoft, Amazon, and IBM all investing heavily in proprietary chip designs. OpenAI's Jalapeño chip and…
IBM Consulting's 'Multiplier Effect' series argues that AI governance is now a front-line business issue, not a back-office compliance function, as agentic AI moves closer to pricing, personalization, and direct consumer interaction. Com…
IBM Consulting argues that enterprises achieving real business value from AI are moving beyond static models to build agentic systems equipped with modular, reusable "skills" — discrete capabilities that AI agents can invoke, combine, an…
IBM argues that 'tokenmaxxing'—driving maximum AI usage volume across the workforce—is producing diminishing returns and must give way to 'valuemaxxing,' a discipline focused on measuring and optimizing business outcomes rather than AI c…
A 2026 study by Confluent surveying 4,625 IT leaders finds that nearly half of enterprise AI projects are stalling due to data problems, with data integration and quality issues identified as primary blockers to AI adoption. The research…
Banks, governments, and researchers are deploying synthetic data to circumvent privacy constraints that limit access to sensitive real-world datasets in finance, healthcare, and public administration. Synthetic data generation—powered by…
Engineers and researchers are actively developing orbital data centers as a potential solution to AI's escalating infrastructure and energy demands, despite widespread skepticism — including characterizations of the concept as 'peak insa…
Microsoft research found that LLMs progressively degrade document content the more they interact with it—a phenomenon the study calls 'document corruption.' The research quantified how repeated LLM passes introduce factual drift, omissio…
APAC faces a compounding constraint: AI infrastructure demand is accelerating faster than regional power grids can expand, with data center energy consumption in markets like Japan, Australia, Singapore, and India projected to multiply w…
Mainframes remain the backbone of global economic infrastructure, processing the majority of the world's financial transactions, airline reservations, and government data. Discussed at New York Tech Week, IBM experts argue that mainframe…
New research suggests that emulating the human brain's architecture could dramatically reduce the cost and improve the efficiency of AI systems. Current transformer-based large language models are computationally expensive, requiring mas…
Open data architectures built on lakehouse paradigms deliver flexibility and openness, but flexibility alone does not guarantee query performance at enterprise scale. The article argues that organizations adopting open formats such as Ap…
A new IBM Institute for Business Value study finds that AI infrastructure investment is accelerating but businesses are struggling to convert spending into operational AI capacity. While AI infrastructure budgets are rising, many organiz…
IBM Consulting's research finds that enterprises are spending billions on AI initiatives while capturing little measurable return, identifying a widespread execution gap between AI investment and business value. The article argues that m…
This IBM 'Mixture of Experts' podcast episode (Episode 100) examines the broadening adoption of AI agents across domains including scientific research, enterprise finance, and retail commerce. The episode covers developments such as Chat…
IBM's research identifies a significant alignment gap between C-suite executives and their organizations on AI strategy and execution readiness. Senior leaders systematically overestimate their companies' AI maturity relative to assessme…
Asia Pacific firms are rapidly shifting from scaling existing AI programs to building fully autonomous AI agents capable of independent action and coordination, with 67 percent having deployed agentic AI in technology and IT functions. Forty-two percent of ASPAC companies report
Family businesses globally are navigating a period of confident but cautious optimism, balancing long-term resilience against mounting pressures from economic uncertainty, rapid technological change, and leadership transition. The 2026 K…
The article's URL and title indicate a KPMG webcast focused on transforming the CFO office through AI-native operating models, but the provided content contains only navigation and site structure elements rather than substantive findings…
The provided content is the KPMG website navigation and country selector menu, not the actual article text on AI and machine learning for enterprise performance management. There is no substantive article content available to summarize —…
Predictive cash forecasting has emerged as a critical strategic capability, enabling CFOs to convert cash visibility from a reporting function into a forward-looking competitive advantage. Rather than relying on static, backward-looking …
AI is forcing a fundamental redesign of the finance operating model, and CFOs who move now will separate from those who fall behind. KPMG identifies four concrete actions: deploying AI agents to automate high-volume transactional work, r…
The article's URL and title suggest it addresses AI's role in advancing corporate sustainability goals, but the actual substantive content of the piece was not included in the provided source — only navigation and site structure rendered…
Organizations that build trust as a strategic capability transform faster and achieve better outcomes than those that treat it as a byproduct of compliance. KPMG's research finds that high-trust organizations are significantly more likel…
KPMG's global study of 1,200+ executives across 20 markets concludes that AI is the most powerful accelerator of climate progress available, not a threat to it. The research spans energy producers and major energy consumers, including hy…
KPMG's Q2 Asia Pulse finds 80 percent of Asia Pacific companies plan to keep AI a top investment priority over the next 12 months regardless of economic conditions, with 81 percent already reporting meaningful business value from AI—up f…
KPMG's 2026 Global AI in Finance report, based on a survey of 1,013 senior finance leaders across 20 countries, finds that AI adoption in finance has more than doubled in two years but only 23 percent of organizations report AI is exceed…
KPMG's Global Tech Report 2026 finds that organizations are accelerating the shift from AI experimentation to enterprise-wide scale, with 88 percent already embedding AI agents into workflows, products, and value streams. High performers…
Managed services has shifted from a cost-reduction tactic to a primary strategic vehicle for AI adoption, with 99 percent of surveyed organizations now treating it as a strategic priority and nearly half ranking it their top investment f…
Global mobility is at an inflection point, facing simultaneous pressure from talent scarcity, AI disruption, cost constraints, and escalating regulatory complexity. KPMG's three-part "See it differently" series presents perspectives from…
AI in finance is generating measurable returns, with organizations deploying the technology across core finance functions including financial planning and analysis, accounts payable, treasury, and financial close processes. KPMG and SAP …
KPMG Workbench is an AI-powered platform designed to help organizations accelerate and scale their AI adoption by providing a secure, governed environment for building and deploying AI solutions. The platform integrates KPMG's industry a…
**The thesis:** swapping one LLM for another or bolting an assistant onto an app raises usage and token spend while value stays elusive — models and interfaces are fragments of a larger whole. When work becomes computational, *architecture* becomes the operating system of the bus
AI is fundamentally restructuring the finance operating model, shifting the function from retrospective reporting to real-time, predictive business partnership. The webcast, scheduled for June 17, 2026, addresses how finance organization…
The CFO role is undergoing a structural shift from transactional finance steward to architect of a fully integrated digital finance ecosystem. Rather than treating finance as a discrete service function, future-ready CFOs are expected to…
KPMG and Anthropic have formed a global alliance embedding Anthropic's Claude directly into KPMG's Digital Gateway platform, giving all 276,000 KPMG professionals access to frontier AI within their existing client delivery environment. T…
Global M&A activity is positioned for a measured recovery in 2026, with deal volume and value expected to grow modestly after years of rate-driven suppression, according to KPMG's 2026 M&A Deal Market Study. Technology, energy transition…
The modern CFO role has fundamentally expanded beyond financial stewardship into strategic enterprise leadership, with finance chiefs now expected to drive growth, manage enterprise-wide risk, and guide technology transformation simultan…
Agentic AI represents the next evolution in corporate cash management, shifting treasury functions from reactive reporting to autonomous, real-time decision-making. Unlike earlier automation or generative AI tools, agentic AI systems can…
KPMG's central argument is that the traditional month-end close — a compressed, labor-intensive sprint — is being displaced by an always-on finance model powered by agentic AI. Rather than closing books in 5 to 10 business days under pea…
Life sciences CFOs face a dual mandate: driving growth through innovation and M&A while simultaneously cutting costs to fund R&D pipelines under intensifying margin pressure. The Inflation Reduction Act's drug pricing provisions represen…
The article is a KPMG webcast landing page from February 2026 focused on the application of AI to enterprise performance management (EPM). The substantive content of the article itself is not present in the provided source — the page con…
Finance functions are approaching an inflection point where AI moves from isolated tool deployments to an integrated operating system that automates and orchestrates end-to-end finance processes. KPMG argues that CFOs must architect this…
Finance leaders are converging on 6 critical questions as they work to extract business value from data and analytics investments, with the central challenge being how to move from reporting what happened to driving decisions about what …
KPMG's AI-Enabled Financial Close as a Service offering reframes the traditional month-end close as a managed, AI-augmented process rather than an internal finance function, targeting the persistent inefficiencies that plague most organi…
KPMG's Finance as a Service (FaaS) model positions AI as the core driver for transforming finance functions from transactional processors into strategic business partners. The model combines AI-enabled automation, cloud platforms, and ou…
KPMG positions AI-enabled Finance as a Service as the path for finance functions to move beyond transactional processing toward strategic decision support. The offering combines AI, automation, and cloud-based platforms to reduce manual …
AI-embedded Enterprise Performance Management (EPM) is moving financial planning from periodic, backward-looking reporting to continuous, forward-looking decision intelligence. KPMG argues that integrating generative and predictive AI in…
The article's content beyond navigation elements was not provided, so I cannot summarize the substance of KPMG's findings on the future of the financial close. The title "The Future of the Financial Close: Smarter, Faster, Trusted" signa…
Finance leaders who treat data as a strategic asset rather than a reporting byproduct are gaining measurable competitive advantage, and those who fail to make this shift risk being left behind as AI-driven decision-making becomes the sta…
Global Business Services organizations that remain focused on cost reduction and transactional efficiency are leaving significant value on the table. KPMG's central argument is that integrating Finance as a Service (FaaS) into GBS transf…
AI is poised to fundamentally reshape the finance function, shifting it from a backward-looking reporting role to a forward-looking, intelligence-driven operation. KPMG argues that finance leaders who treat AI as a strategic capability r…
AI is poised to fundamentally transform the financial close process by automating routine tasks, reducing cycle times, and shifting finance professionals toward higher-value analytical work. KPMG argues that organizations applying AI to …
The modern CFO role has fundamentally expanded beyond financial stewardship into a strategic co-pilot position, requiring mastery across multiple dimensions simultaneously. Today's CFOs must operate across five distinct facets: financial…
AI is fundamentally reshaping the finance workforce, shifting the function's value proposition from transaction processing to strategic analysis and decision support. Finance professionals who integrate AI tools into their workflows can …
Agentic AI is poised to fundamentally reshape finance functions by enabling autonomous, multi-step decision-making that goes beyond traditional automation. Unlike earlier AI tools that required human initiation at each step, agentic syst…
AI-driven automation is fundamentally reshaping accounts receivable and accounts payable functions, moving finance operations from reactive, manual processing toward predictive, autonomous execution. The webcast positions AI not as an in…
Finance leaders are failing to fully capitalize on data as a strategic asset, and KPMG argues that closing this gap requires deliberate investment in data infrastructure, governance, and talent. The finance function is increasingly expec…
AI is poised to fundamentally reshape the Finance function by shifting it from transaction processing toward strategic value creation. KPMG identifies 4 core application areas: automating routine financial operations, enhancing forecasti…
Finance organizations must evolve from digitally enabled close processes to AI-driven intelligent close operations to remain competitive and meet rising demands for faster, more accurate financial reporting. The intelligent close moves b…
AI is fundamentally reshaping Global Business Services (GBS), moving the function beyond traditional cost arbitrage toward a strategic driver of enterprise value. Organizations that integrate AI into GBS operating models are achieving me…
GenAI presents a near-term opportunity to fundamentally reshape Finance workforce productivity, with KPMG positioning it as a force multiplier rather than a replacement for Finance talent. The technology can automate high-volume, repetit…
Finance-as-a-Service (FaaS) is emerging as the next evolution of finance operating models, enabling organizations to consume finance capabilities on demand rather than building and maintaining them internally. The model shifts finance fr…
The substantive content of this KPMG webcast page is not available in the provided source — the page renders primarily as site navigation, regional selectors, and boilerplate infrastructure with no article body, data, or analytical findi…
The page provided is a KPMG webcast landing page from September 26, 2024, but contains no substantive article content beyond the title "Data, Analytics and AI: The New Value Drivers for Finance." The actual thought leadership material, f…
KPMG's Fifth Annual CAO Survey finds that chief accounting officers are accelerating the pace of finance function transformation, driven primarily by automation, AI adoption, and mounting regulatory complexity. The majority of CAOs repor…
Generative AI will not eliminate service delivery centers but will fundamentally transform their purpose and composition. The labor arbitrage model that justified offshoring — moving high-volume, repetitive transactional work to lower-co…
The full article text was inaccessible due to a server permissions error, preventing substantive analysis of McKinsey's argument. Based on the title, the piece appears to position AI fluency — the broad workforce capability to understand…
The article content was inaccessible due to a server permissions error, returning only an 'Access Denied' message with no retrievable text. No substantive findings, data, or arguments from the McKinsey piece on AI agents and FP&A can be …
The full text of this McKinsey interview with Sven Smit is inaccessible due to a server permission error, preventing substantive analysis of its content. Based on the title alone, the piece appears to argue that organizational or individ…
The article content was inaccessible due to a server permission error, preventing extraction of the underlying thesis, data, or recommendations. Based on the title, the piece addresses why faster capital and resource reallocation is a st…
McKinsey's analysis finds that despite near-universal AI deployment, only 21% of companies have fundamentally redesigned their operating models around AI, and fewer than that track ROIC on AI investments. Top performers—those attributing…
US healthcare labor productivity has declined roughly 1% over the past two decades while the broader services economy gained more than 55%, despite $150 billion in annual IT investment by clinical-care organizations. McKinsey argues the …
A McKinsey Global Survey of more than 1,250 executives finds that most organizations fail to actively validate or manage their competitive advantage, while top economic performers—roughly the top quintile by revenue growth and EBIT over …
ASOS CTO Przemek Czarnecki outlines a phased AI deployment strategy that has already routed 50% of inbound customer care requests through AI agents and achieved 90% workforce adoption of Copilot tools. The company structures its roadmap …
McKinsey's life sciences AI explainer argues that the current AI wave is categorically different from prior technology cycles in pharma and biotech—broader in scope, faster in adoption, and capable of transforming the entire enterprise r…
McKinsey's State of the Consumer 2026 report identifies two dominant forces reshaping consumer behavior globally: rapid technology advancement and sustained cost consciousness. These forces underpin four trends—a new tech-driven path to …
AI adoption in B2B pricing is accelerating, with a McKinsey survey of 419 pricing leaders indicating that gen AI is already in use by roughly 10–30% of organizations across eight core pricing activities, with adoption expected to reach 4…
McKinsey's presence at the 2026 Cannes Lions International Festival of Creativity centers on how AI and agentic systems are restructuring growth across advertising, marketing, and commerce. Key themes include autonomous growth engines, a…
McKinsey's 2026 State of AI survey finds enterprise AI adoption deepening but financial impact stalling: 44% of organizations now scale AI enterprise-wide (up from 38%), yet the share reporting EBIT contribution holds flat at 37%, unchan…
OpenAI has expanded ChatGPT Ads to 26 additional countries, bringing total availability to 89 countries worldwide, eight months after the platform's initial launch. More than 100,000 advertisers have already run campaigns on ChatGPT, whi…
Anthropic is committing an initial 5% of company shares to a newly created Anthropic Public Benefit Fund, with an additional 2% added at the board's discretion for every 50% increase in company value above a set baseline. The Fund is str…
Anthropic is launching Claude Frontier Academy with a $100 million commitment to train 10,000 Frontier Deployed Engineers (FDEs) by end of 2027, targeting the enterprise AI talent gap it identifies as the primary bottleneck to AI impleme…
OpenAI has published a practical deployment guide for the GPT-6 model family, which includes three tiers: GPT-6 Astra (maximum reasoning), GPT-6.1 Sol (complex coding and research), and GPT-6 Luna (high-volume, routine tasks). The guide centers on four operational priorities: mat
Barclays is expanding its enterprise AI partnership with Anthropic, deploying Claude across operations, software development, and customer servicing at scale. The bank's Colleague Knowledge Assistant, built on a retrieval-augmented generation architecture, has been adopted by mor
Albertsons Companies has expanded a partnership with OpenAI to deploy AI across both customer-facing and internal retail operations at scale, spanning 2,200+ stores and 36 million weekly customers. The integration includes ChatGPT Enterprise for internal teams, a new Safeway plug
OpenAI's DevDay 2026 delivered more than 20 product announcements centered on autonomous agents, developer tooling, and enterprise AI capabilities. The headline release is 'Dots,' always-on agents designed to manage ongoing responsibilities on behalf of users, available to Pro, B
OpenAI has launched Dots, a new category of always-on AI agents powered by GPT-6 Astra, designed to operate autonomously on behalf of individual users and enterprise organizations. Each Dot runs on its own cloud computer, connects to over 4,000 apps via a plugin ecosystem, and in
OpenAI has released GPT-6.1 Sol, an upgraded agentic model priced at $2 per million input tokens and $10 per million output tokens — one-fifth the cost of GPT-6 Astra — while delivering near-Astra performance across coding, professional document work, multi-step business workflow
OpenAI Academy, launched in September 2024, has reached over 4 million people across more than 250 events, offering practical AI training to educators, small business owners, developers, and nonprofit leaders. The program spans self-pace…
OpenAI is expanding OpenAI Academy with structured learning paths targeting four enterprise segments: knowledge workers (Apply AI at Work), developers (Build with AI, covering Codex and the OpenAI API), organizational leaders (Lead AI Ad…
OpenAI's Admin Console now surfaces analytics that link ChatGPT and Codex usage directly to business outcomes, moving beyond raw spend data to task-level classification, outcome tracking, and ROI calculation. The platform groups user act…
OpenAI has launched ChatGPT for Financial Services, a purpose-built enterprise product combining GPT-6 Astra's reasoning capabilities with integrated premium financial data from providers including Daloopa, PitchBook, LSEG News, and Crun…
OpenAI has released the Agents API in public beta, making available the same agent harness and infrastructure that powers Codex and ChatGPT for Work to all developers at no additional platform fee — costs are limited to tokens and tool u…
OpenAI has launched a Data agent within ChatGPT Work that enables non-technical business users to query company data, generate interactive dashboards, and share findings without writing code or learning dedicated analytics tools. The age…
OpenAI has released GPT-6 Astra, positioning it as its most capable and aligned model for professional and enterprise work, available in ChatGPT Work, Codex, and the API. The model operates via computer use, enabling it to work within ex…
OpenAI has released GPT-Live-1 via API, a full-duplex voice model priced at $0.05 per minute that handles listening and speaking within a single model, eliminating the latency and fragility of chained speech-to-text, LLM, and text-to-spe…
OpenAI has released GPT-6 Astra, claiming it as the most capable and aligned model to date, with state-of-the-art results across mathematics (98% on FrontierMath Tier 4), autonomous agent benchmarks (99.9% on ARC-AGI-3), and cybersecurit…
Anthropic has launched Enterprise Frontier Safeguards (EFS), a solution that combines zero data retention privacy with cross-session misuse monitoring by storing activity data in customer-controlled cloud infrastructure rather than Anthr…
OpenAI has published benchmark results for Jalapeño, its first custom AI inference chip, showing industry-leading performance across throughput, power efficiency, and latency. Tested against publicly available models including GPT-OSS 12…
OpenAI's compute strategy treats the full stack—data centers, custom silicon, frontier models, developer platform, and products—as one integrated system where gains at each layer amplify the others. The company disclosed first benchmark …
OpenAI is expanding ChatGPT Ads to 31 European countries, including Germany, France, Spain, and Italy, marking its largest geographic rollout since the U.S. pilot launched in February. Advertisers can access the platform via OpenAI's Ads…
OpenAI is formalizing its Zero Data Retention (ZDR) commitment for API customers, guaranteeing that prompts and responses are not retained after processing, are not accessible to OpenAI personnel, and are not used for model training unle…
OpenAI is previewing Ultrafast, a new API service tier running GPT-5.6 Sol at up to 14× standard processing speed—up to 750 output tokens per second—powered by Cerebras hardware. The tier is designed to bring frontier-intelligence models…
OpenAI's CFO describes building an AI-native finance function from a small team at a rapidly scaling company, targeting two concrete operational goals: a zero-day financial close and continuously updated automated forecasting. The approa…
OpenAI is introducing Premium seats for ChatGPT Business at $125 per user per month ($100 annually), delivering 5x more usage than Standard seats ($25/$20) and eliminating the five-hour usage cap. The tier targets high-frequency users ru…
OpenAI has published its first country-by-country usage data for ChatGPT, drawn from over 1 billion individual accounts (Free, Go, Plus, and Pro tiers) through Q2 2026. The central finding is a behavioral shift from information-seeking t…
OpenAI has updated its ChatGPT platform with GPT-5.6 Sol for paid users and GPT-5.6 Luna as the new default for free users, with unlimited text chats rolling out next week. Internal evaluations show factual error rates dropped approximat…
OpenAI CFO Sarah Friar outlines the company's economic framework for scaling AI infrastructure around a self-reinforcing cycle: falling inference costs expand addressable work, broader adoption funds R&D, and R&D improvements drive furth…
OpenAI is cutting API prices for GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20%, effective July 30, with Luna priced at $0.20 per million input tokens and $1.20 per million output tokens, and Terra at $2 per million input tokens and $12 pe…
OpenAI's GPT-5.6 model family is engineered to optimize across the full cost-intelligence curve, with three tiers: Sol (max reasoning), Terra (GPT-5.5 parity at half the price), and Luna (80% cheaper than Sol). The efficiency gains are d…
Anthropic is expanding its partnership with Cognizant, elevating the IT services firm to Global Premier Partner status in the Claude Partner Network. Cognizant has trained more than 30,000 associates on Claude and is embedding the model …
OpenAI analysis of 800,000+ U.S. ChatGPT work-related messages finds that 43.5% of occupation-specific AI use involves tasks traditionally belonging to a different job category — a pattern the researchers term 'task crossover.' Customer …
Anthropic has released Claude Opus 5, a frontier-class model priced at half the cost of Claude Fable 5 while achieving state-of-the-art results on coding and knowledge work benchmarks including Frontier-Bench and GDPval-AA. On ARC-AGI 3,…
Anthropic has launched the Economic Index connector for Claude, enabling users to query its AI labor-market dataset directly through natural language in claude.ai. The connector requires no installation and works across all Claude models…
Anthropic is committing $200 million to the Economic Futures Research Fund to support external research on preparing society for AI-driven economic disruption. The fund will prioritize grants in the $5–30 million range across five areas:…
OpenAI has appointed David Vélez, founder and CEO of Nubank (135 million customers), and Robin Vince, Chairman and CEO of BNY, to the boards of both the OpenAI Foundation and OpenAI Group PBC. Both appointments signal OpenAI's intent to …
OpenAI has launched OpenAI Presence, an enterprise-grade AI agent deployment product that pairs model reasoning with configurable policies, guardrails, escalation rules, and a Codex-powered continuous improvement loop. The product target…
OpenAI has launched the ChatGPT for Small Businesses program, pairing its ChatGPT Work agent—now powered by GPT-5.6—with structured enablement resources including virtual training webinars, in-person AI academies across the US, and partn…
OpenAI proposes 'Useful Intelligence per Dollar' as the primary metric for evaluating AI ROI, replacing legacy software measures like seat counts or cost-per-token. The framework answers four questions: how much useful work AI completes,…
OpenAI argues that token price is a misleading proxy for AI value, and that enterprise leaders should instead optimize for 'useful work per dollar'—measuring tasks completed, time saved, and decisions improved. The piece outlines five in…
OpenAI has designated GPT-5.6 as the new preferred model powering Microsoft 365 Copilot across Word, Excel, PowerPoint, Chat, and Cowork. The model is positioned as delivering stronger performance per dollar and improved capability on co…
Anthropic has appointed former Federal Reserve Chair Ben Bernanke to its Long-Term Benefit Trust (LTBT), the independent oversight body charged with holding Anthropic accountable to its mission of responsible AI development. Bernanke led…
OpenAI has launched ChatGPT Work, an agentic capability powered by GPT-5.6 that executes multi-step enterprise workflows across connected apps including Slack, Microsoft Teams, Google Drive, SharePoint, CRMs, and Microsoft 365. The produ…
OpenAI has launched GPT-5.6 for general availability, a three-tier model family (Sol, Terra, Luna) targeting enterprise workloads across coding, knowledge work, cybersecurity, and scientific research. GPT-5.6 Sol achieves a 53.6 score on…
Cognizant argues that enterprise AI skilling programs are failing to scale because they lack structured human-in-the-loop feedback mechanisms. The piece contends that AI learning tools generate outputs but cannot self-correct without hum…
Anthropic has released Claude Sonnet 5, its most capable mid-tier model to date, designed specifically for agentic workflows including autonomous multi-step task execution, tool use, browser control, and code generation. The model closes…
HP Inc. has announced a scaled strategic partnership with OpenAI under the OpenAI Frontier program, moving from successful pilots initiated in February 2026 to enterprise-wide deployment. Early results include one engineer completing 122…
OpenAI's internal data on Codex adoption shows agentic AI is displacing chatbot-style interactions as the primary mode of knowledge work, with Codex now accounting for 99.8% of weekly output tokens generated inside OpenAI. By May 2026, 7…
Anthropic has launched Claude Tag, a Slack-native AI collaboration product available in beta for Enterprise and Team customers, allowing teams to tag @Claude in channels to delegate tasks asynchronously. Claude Tag is multiplayer—one Cla…
OpenAI and Broadcom have unveiled Jalapeño, OpenAI's first custom AI inference chip, designed from the ground up for LLM workloads and developed from design to tape-out in nine months. Early testing indicates performance per watt substan…
OpenAI has released credit usage analytics and updated spend controls for ChatGPT Enterprise, giving organizations granular visibility into AI consumption across users, products, and models. Admins can now track credit trends over time, …
Cognizant research across 1,100 senior business leaders and 4,400 employees at G2000 companies finds that AI skilling is the critical missing link between AI investment and business returns. Trained workers outperform untrained peers by …
OpenAI is launching the OpenAI Partner Network, a formal ecosystem program backed by $150 million in investment to accelerate enterprise AI adoption through systems integrators, management consultants, and technology partners. The progra…
OpenAI has launched the Economic Research Exchange, a structured platform to fund and collaborate with external researchers studying AI's economic effects on workers, firms, and institutions. Selected researchers will gain access to Open…
Anthropic and DXC Technology have announced a multi-year global alliance in which DXC will deploy Claude across the mission-critical IT systems it operates for major banks, airlines, insurers, manufacturers, and government agencies. DXC …
Anthropic and Tata Consultancy Services (TCS) have announced a partnership to deploy Claude across regulated industries globally. TCS will roll out Claude to 50,000 of its own employees across 56 countries and build Claude-powered, indus…
OpenAI has launched three structured courses through OpenAI Academy—AI Foundations, Applied AI Foundations, and Agents and Workflows—designed to move enterprise employees from basic AI literacy to operating agent-assisted, repeatable wor…
Anthropic is launching Claude Corps, a national fellowship program backed by an initial $150 million commitment that will place 1,000 paid fellows at nonprofits across the United States. Fellows receive a $85,000 annual salary, benefits,…
OpenAI has published a strategic manifesto outlining its third organizational phase, shifting from research and product deployment toward making advanced AI broadly abundant, affordable, and accessible to every person and organization on…
OpenAI and Oracle are partnering to make OpenAI frontier models and Codex accessible through Oracle Cloud Infrastructure (OCI), allowing enterprises to apply existing Oracle Universal Credits toward OpenAI usage. The integration routes A…
Anthropic has launched Claude Fable 5 for general use and Claude Mythos 5 for a restricted set of cyberdefense and infrastructure partners, both priced at $10 per million input tokens and $50 per million output tokens—less than half the …
Cognizant research of 1,100 G2000 senior executives finds only 32% can demonstrate tangible business productivity gains from AI, while 25% have already paused or abandoned deployments at an average sunk cost of $4 million per company. Th…
OpenAI announced on June 8, 2026 that it has submitted a confidential draft S-1 registration statement to the SEC, a required step toward a potential IPO. The company disclosed the filing preemptively, expecting the submission to leak. O…
OpenAI has released GPT-5.4, positioning it as its most capable and token-efficient frontier model for professional and enterprise work. On the GDPval benchmark spanning 44 occupations, GPT-5.4 matches or exceeds industry professionals i…
OpenAI's Codex platform has reached 5 million weekly users, with non-developers now comprising approximately 20% of the user base and growing more than 3x faster than developers. OpenAI is launching six role-specific plugins covering dat…
OpenAI frontier models and its Codex software engineering agent are now generally available on AWS, including in GovCloud regions, giving enterprises a direct path to deploy OpenAI capabilities within existing AWS security, compliance, p…
Anthropic, PBC has confidentially submitted a draft Form S-1 registration statement to the U.S. Securities and Exchange Commission, formally initiating the process for a potential initial public offering of its common stock. The filing p…
This page is an index of 74 Anthropic corporate announcements spanning product launches, partnerships, governance moves, and investment programs. Key recent items include: Claude Opus 5.5 and Sonnet 5.5 model upgrades delivering 30–40% cost reductions; a $100 million Claude Front
Anthropic has released Claude Opus 4.8, an upgrade to its flagship model available at the same price as its predecessor. Key capability improvements include benchmark gains across coding, agentic tasks, and reasoning, with the model bein…
Anthropic has closed a $65 billion Series H round at a $965 billion post-money valuation, led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Run-rate revenue crossed $47 billion earlier this month, up from the Series G …
KPMG has formed a global strategic alliance with Anthropic to deploy Claude across its entire workforce of 276,000+ employees in 138 countries, with immediate integration into Digital Gateway, KPMG's core client-facing platform built on …
Anthropic launched Claude for Small Business, a product targeting the 44% of U.S. GDP and nearly half the private-sector workforce represented by small businesses. The offering integrates with QuickBooks, PayPal, HubSpot, Canva, DocuSign…
Anthropic has released ten ready-to-run agent templates targeting high-volume financial services workflows, including pitchbook construction, KYC screening, general ledger reconciliation, month-end close, and statement auditing. The temp…
Anthropic has signed a compute agreement with SpaceX granting access to 300+ megawatts of capacity (220,000+ NVIDIA GPUs) at the Colossus 1 data center, effective immediately. This deal joins a portfolio of infrastructure commitments tot…
Anthropic and PwC have expanded their strategic alliance, with PwC deploying Claude across its global workforce of hundreds of thousands of professionals to build agentic technology, execute deals, and reinvent enterprise functions for c…
OpenAI and Dell Technologies have announced a partnership to deploy Codex, OpenAI's fastest-growing enterprise product, within hybrid and on-premises environments via the Dell AI Data Platform and Dell AI Factory. Codex now reaches more …
OpenAI is launching a personal finance feature within ChatGPT, initially available to Pro subscribers in the U.S., that allows users to securely connect accounts from more than 12,000 financial institutions via Plaid. The tool provides a…
Cognizant argues that AI adoption requires enterprises to redesign their talent architecture from the ground up rather than retrofitting existing workforce models. The piece contends that traditional role definitions, competency framewor…
Anthropic's partnerships page catalogs 50 enterprise and institutional agreements spanning major consulting firms (KPMG, PwC, Accenture, TCS, Cognizant, DXC), financial backers (Blackstone, Goldman Sachs, Hellman & Friedman), and philanthropic organizations (Gates Foundation). Sc
This page is an index of recent OpenAI company announcements and product releases, not a substantive article. Headlines span June 2026 back to April 2026 and cover product launches (Codex, GPT-5.5, ChatGPT Images 2.0), enterprise partner…
This page is Anthropic's product news index, aggregating 41 article listings across Claude product launches from mid-2025 through mid-2026. Notable enterprise-relevant releases include Claude for Financial Services (Excel plugin, real-time market connectors, modeling and earnings
Anthropic has released Claude Opus 4.7, now generally available across Claude products, API, Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Foundry at $5 per million input tokens and $25 per million output tokens—same pricing as O…
Cognizant argues that the internet is entering an 'agentic' era in which autonomous AI agents—not humans—will initiate, evaluate, negotiate, and execute the majority of digital transactions. The firm forecasts that AI-powered consumers w…
Cognizant argues that the internet is entering a structural transition toward an 'agentic internet,' where AI agents replace humans as the primary initiators and executors of digital interactions. Cognizant's consumer AI research forecas…
OpenAI has released GPT-5.5, positioning it as its most capable model to date with particular strength in agentic coding, computer use, and knowledge work automation. On key benchmarks, GPT-5.5 scores 82.7% on Terminal-Bench 2.0, 73.1% o…
Cognizant's central argument is that AI value cannot be purchased off the shelf—it must be deliberately constructed through organization-specific integration of people, processes, and technology. Off-the-shelf AI tools deliver commodity …
Cognizant's central argument is that large enterprises harbor a critical misconception about AI adoption: that deploying off-the-shelf AI tools is sufficient for enterprise-scale transformation. The piece contends that generic AI solutio…
Samsung Electronics is deploying ChatGPT Enterprise and Codex to all employees in Korea and all Device eXperience (DX) division employees worldwide, making it one of OpenAI's largest enterprise rollouts to date. The deployment spans R&D,…
Cognizant argues there is no AI bubble by quantifying AI's current economic potential: today's AI can already perform tasks representing $4.5 trillion in annual value, grounding the technology's investment case in measurable task-level c…
Cognizant surveyed 1,000 Global 2000 senior executives and found that AI integration has become a top-three driver of legacy modernization, with 85% expressing serious concern that their current technology estate will impair their abilit…
Cognizant argues that agentic AI—autonomous systems capable of multi-step reasoning and action—represents a structural inflection point for enterprise business models, not merely an incremental productivity tool. The piece contends that …
Cognizant's AI Inclination Index, drawn from a survey of 8,451 consumers across the US, UK, Germany, and Australia, quantifies consumer propensity to use AI throughout the consumer goods purchase journey across five product categories an…
Cognizant's AI Inclination Index, drawn from a survey of 8,451 consumers across the US, UK, Germany, and Australia, finds that health insurance consumers are roughly 7% less inclined to use AI than the cross-industry global average, with…
Cognizant argues that conventional data strategies — built around dashboards, reporting, and batch analytics — are no longer sufficient for AI-era business demands, and that enterprises must rebuild their data foundations specifically to…
Cognizant's framework argues that effective enterprise AI strategy requires matching the right AI type—predictive, generative, agentic, or physical—to specific business problems rather than defaulting to the most-hyped option. Predictive…
Cognizant argues that legacy system modernization is a prerequisite—not a parallel track—for enterprise AI transformation, positioning technical debt as the primary barrier to AI-fueled innovation. Organizations running on outdated infra…
A Cognizant/Oxford Economics study of 2,200 business leaders across 23 countries finds France's generative AI momentum score is 60% higher than the global average, driven by favorable perceptions of data privacy, regulatory environment, …
A Cognizant and Oxford Economics study of 90 Benelux senior business leaders finds the region plans to spend a median of $18.5 million on generative AI in 2024—48% above the global median of $12.5 million—yet posts a momentum score 47% b…
Cognizant and Oxford Economics surveyed 2,200 business leaders across 23 countries, including 200 in the DACH region (Germany, Austria, Switzerland), to assess generative AI adoption momentum. DACH businesses plan average gen AI spending…
Cognizant and Oxford Economics surveyed 100 Singapore business leaders as part of a 2,200-respondent global study to assess generative AI adoption momentum. Singapore companies plan a median generative AI spend of USD $16 million, above …
A Cognizant/Oxford Economics study of 2,200 business leaders across 23 countries found ANZ businesses plan a median gen AI spend of $15 million, above the global average of $12.5 million, yet 69% feel they are not moving fast enough and …
Cognizant and Oxford Economics surveyed 200 senior business leaders in the UK and Ireland (UKI) as part of a 2,200-respondent global study across 23 countries, finding that UKI firms plan to spend $57.6 million on generative AI in the cu…
A Cognizant/Oxford Economics study of 2,200 business leaders across 23 countries finds US companies plan to spend an average of $67 million per company on generative AI in 2024, versus a global average of $47 million. The US momentum sco…
A Cognizant survey of global enterprises identifies the primary accelerators and inhibitors shaping generative AI adoption strategies, with productivity now emerging as the dominant business case replacing earlier revenue-growth narrativ…
Consumer trust is the primary barrier converting AI's potential into measurable business value, according to Cognizant's analysis. The piece argues that organizations deploying AI-powered customer experiences must treat transparency, exp…
PwC argues that AI's enterprise value lies not in automating existing workflows but in fundamentally restructuring how organizations operate — requiring leaders to rethink processes, talent models, and governance from the ground up rather than layering AI onto legacy structures.
Strategy& has launched an updated Org DNA Profiler, a self-serve diagnostic tool built on 20+ years of organizational effectiveness research and benchmarked against 57.8K cross-industry responses. The tool scores organizations across fou…
PwC argues that most organizations have accumulated AI tools, agents, and proofs of concept without converting that activity into measurable EBITDA impact—framing this as an AI value problem, not an adoption problem. The central prescrip…
PwC's Chief Clients and Markets Officer argues that the defining leadership failure in the current environment is habitual deferral—framed as 'we're almost ready'—rather than the risk of acting on incomplete information. Drawing on a con…
PwC argues that AI cost control tools alone are insufficient for competitive advantage — organizations need a new operating model built around four disciplines: upfront cost underwriting, architecture redesign, outcome-linked governance,…
PwC argues that bolting AI tools onto existing software delivery models produces only marginal gains because team structures, prioritization processes, and governance layers remain unchanged. Its AI-native engineering model instead repla…
PwC's framework argues that most enterprises are failing to scale AI value because they remain overfocused on technology and pursue high-profile use cases that do not move financial or operational needles. A small cohort of breakaway com…
PwC has launched an AI Readiness Assessment designed to give senior enterprise leaders an evidence-based diagnostic of their organization's actual AI maturity rather than a self-reported estimate. The tool scores organizations on a 0–100…
PwC identifies three priority actions for finance leaders deploying AI: establishing data integrity, validating AI outputs through human-led review, and embedding governance into financial reporting controls. The piece targets CFOs, CAOs…
PwC's workforce solutions leader argues that most enterprise AI transformations are failing because companies address only one dimension of change—the work itself—while neglecting workforce structure and individual worker roles. Using a …
PwC's central thesis is that AI is generating a 'workforce dividend'—freed human capacity—that leaders should reinvest into growth rather than extract as cost savings. The 2026 PwC AI Jobs Barometer, analyzing one billion job postings gl…
PwC's latest global CEO survey finds 43% of companies are realizing AI-driven revenue or cost benefits, while 42% remain stuck and unable to unlock either. The firm identifies three compounding misconceptions holding back enterprise AI: …
PwC positions data modernization as the foundational prerequisite for scaling cloud and AI capabilities across the enterprise, arguing that fragmented or legacy data architectures directly limit AI and cloud ROI. The piece frames cloud m…
PwC and Palantir have partnered to deliver real-time scenario modeling capabilities aimed at helping enterprises navigate tariff volatility and supply chain disruption. The offering combines Palantir's data integration and AI platform wi…
PwC's 'America in Motion' program positions geopolitical shifts, tariff uncertainty, and US-first industrial policy as a growth opportunity requiring integrated strategic response across five domains: manufacturing and reshoring, AI and …
PwC argues that the next 12 months represent a defining window for strategic investment decisions—spanning data centers, automation, supply chain reconfiguration, and AI deployment—that will set competitive trajectories for the next deca…
PwC argues that enterprises must replace fragmented AI pilots with a unified agentic architecture built on three structural shifts: centralized state and context management, purpose-built specialized agents, and governed orchestration th…
PwC's Q2 2026 quarterly outlook identifies a collision between two opposing macro forces: AI-driven investment growth and a severe energy supply shock triggered by the Iran military conflict, which has disrupted nearly 20% of global dail…
PwC's dynamic controls testing framework applies AI to transform internal controls from periodic, sample-based reviews into continuous, comprehensive testing processes. Rather than testing a fraction of transactions on a scheduled cycle,…
PwC's intelligent enterprise framework argues that AI's transformative value is realized only when it operates across the entire organization as a unified system rather than in isolated functional deployments. The model envisions AI agen…
PwC's 2026 Market Volatility Survey of 1,004 consumers and 204 financial services executives finds widespread behavioral retrenchment driven by inflation and macroeconomic uncertainty. 83% of consumers now prioritize financial resilience…
PwC argues that agentic AI is poised to fundamentally reshape procurement by enabling autonomous, multi-step decision-making across sourcing, supplier management, contract execution, and spend analysis—moving well beyond prior generation…
PwC's piece for tax leaders identifies 4 action-ready AI predictions aimed at guiding tax function transformation. The article positions AI adoption in tax as moving from experimentation to operational deployment, with tax leaders expect…
PwC's April 2026 C-Suite Outlook survey of U.S. executives finds 90% believe their company is stronger than two years ago, a sharp reversal from May 2025 when 57% said they were missing opportunities due to slow decision-making. Executiv…
PwC outlines an AI-enabled invoice automation framework targeting accounts payable operations within finance functions. The approach leverages AI agents to extract, validate, and route invoice data, reducing manual processing time and ex…
PwC's article argues that AI can transform IT separation planning during M&A divestitures, a process traditionally plagued by manual effort, compressed timelines, and high execution risk. AI-powered tools can rapidly analyze application …
PwC's 'America in Motion' report identifies a structural realignment in US business driven by geopolitical uncertainty, tariff regimes, AI-fueled data demand, and a reshoring push in manufacturing. Data center capital spending could reac…
PwC's May 2025 survey of 300 senior U.S. executives finds 88% plan to increase AI-related budgets in the next 12 months due to agentic AI, and 79% report AI agents are already being adopted at their companies. Of those adopting, 66% cite…
PwC's October 2024 Pulse Survey of 709 executives finds broad economic and political pessimism heading into the US presidential election, regardless of which candidate wins. Recession expectations jumped to 61% from 49% in June 2024, dri…
This PwC hub aggregates 30+ generative and agentic AI thought leadership pieces published between mid-2024 and mid-2025, spanning enterprise AI strategy, responsible AI governance, workforce redesign, and function-specific agent deployme…
This PwC webcast replay from February 2024 addresses the intersection of AI risk management and responsible AI principles for enterprise leaders. The session covers governance frameworks organizations should adopt to deploy AI in a contr…
Sign in to see sector working-capital benchmarks.
Common questions from finance leaders on deploying AI across the close, FP&A, and controllership.
Digital financial-services consultancy and venture studio.
Largest publicly-traded consulting/IT services; multi-billion AI bookings.
Private-equity-focused financial and technology consulting.
Turnaround, restructuring and performance improvement.
Turnaround, restructuring and performance-improvement firm.
Cloud and AI ecosystem enabler for services firms.
Advisory firm focused on risk, disputes and transformation.
AI safety + research company; maker of Claude.
Accounting and consulting services for growth companies.
Data and AI consulting firm.
Strategy, innovation and technology consulting.
MBB; OpenAI services partnership.
Global accounting and advisory network.
Global accounting and advisory network.
Economic, disputes and corporate finance advisory.
Revenue-growth advisory firm serving private-equity investors and portfolio companies.
Technology and management consulting for government.
MBB; BCG X is the AI/digital build arm.
Digital experience and transformation consultancy.
Financial services management consultancy; Wipro-owned.
Global consulting, technology and engineering services.
US accounting, tax and advisory services.
Management consultancy focused on operations and organizational performance.
Accounting, finance and technology consulting.
IT and business consulting services.
US professional services firm serving private businesses.
IT services + consulting; growing AI services focus.
US accounting, tax and advisory firm.
Management consulting and digital transformation.
Finance, accounting, risk and technology advisory.
Global accounting and advisory network.
Largest of the Big 4 by revenue; deep AI consulting + AI Institute.
Enterprise technology services and modernization.
Accounting, tax and business advisory services.
Digital transformation and product engineering.
Digital product engineering and transformation services.
Big 4; EY.ai platform; abandoned Project Everest split.
Applied AI company and transformation partner.
Global audit, tax and advisory network.
Enterprise AI and analytics services.
Advisory firm spanning restructuring, disputes and transformation.
Technology research and executive advisory firm.
Operations, data and technology transformation services.
Leadership advisory firm serving boards, CEOs and investors.
Payments strategy and research consultancy.
Digital engineering, design and AI transformation.
Cloud and AI ecosystem enabler for services firms.
Global assurance, tax and advisory network.
Consulting across regulated commercial and public sectors.
AI-native product engineering and transformation consultancy.
Global technology services and digital engineering.
IBM Consulting + IBM Garage; tightly coupled to watsonx.
Global digital services and consulting.
Global management consulting firm.
Strategy and economics consultancy focused on technology markets.
Big 4; audit, tax and advisory; Clara and Workbench AI platforms.
Risk and financial advisory services.
Technology infrastructure and transformation services.
Strategy consulting with strong private-equity coverage.
Digital transformation and technology consulting.
Global strategy consultancy serving a focused roster of large enterprises.
MBB; QuantumBlack is the AI/analytics arm.
Technology and business strategy consultancy for senior executives.
Cloud and AI ecosystem enabler for services firms.
Accounting, consulting and wealth services.
Digital product engineering and technology consulting.
Global business and technology services.
Accelerated-computing ecosystem partner for AI services.
Global management consulting firm.
AI research lab + enterprise platform; maker of GPT and ChatGPT.
Innovation and transformation consultancy.
AI-native software and delivery partner ecosystem.
Private-equity advisory firm spanning transactions, finance and transformation.
Digital consultancy for enterprise transformation.
Digital engineering and enterprise modernization.
US accounting, tax and consulting firm.
Business advisory firm serving investors and companies through change.
Risk, compliance, technology and internal audit consulting.
Digital business transformation; part of Publicis Groupe.
Big 4; declared $1B AI investment; ChatPwc internal tools.
AI-first digital engineering company.
Digital services network focused on emerging technology.
Business advisory firm serving the office of the CFO and investors.
Global strategy consulting firm.
Global assurance, tax and consulting network.
CRM and agent platform central to services alliances.
AI data and application delivery company.
Workflow and AI platform central to services alliances.
US-headquartered tech-and-business consultancy; Microsoft + Salesforce strong.
Digital consulting and software engineering.
European consulting, digital services and solutions.
Investment banking, valuation and disputes advisory.
Global IT services, consulting and business solutions.
Technology consulting and digital transformation.
CEO advisory across strategy, communications and restructuring.
Benchmarking and transformation advisory firm.
Product design and software development consultancy.
Software engineering and digital transformation consultancy.
Nordic digital services and software.
Digital transformation and technology services.
Experience innovation and digital transformation company.
US business and tech consultancy; PE-services emphasis.
Global technology services and consulting.