Friday, August 21, 2026

    Global

    Every article in the catalog carrying this tag, newest first.

    All AI News
    KPMG Thought Leadership

    asia pacific companies are balancing ai ambition with roi realities

    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 from 69 percent just three months prior. Despite this momentum, only 5 percent of regional companies have established clear ROI and demonstrated measurable business outcomes, with most still in early planning or scaling phases. Cost pressures remain a significant friction point: 55 percent of ASPAC companies have delayed or scaled back AI agent rollouts because operational costs began outstripping generated value, though concern over total cost of ownership has eased, dropping from 52 percent to 35 percent quarter-over-quarter. Investment appetite remains strong, with 70 percent of ASPAC companies committing more than $50 million to AI over the next 12 months, directed primarily at IT infrastructure, cybersecurity, and operations. Skills gaps are a concurrent challenge, with over 40 percent citing them as a major barrier to demonstrating ROI, prompting nearly half of companies to redesign roles and accelerate workforce upskilling. Adoption of agentic AI is accelerating sharply, with the share of companies scaling AI agents nearly doubling from 16 percent to 28 percent in a single quarter.

    3 minRead
    KPMG Thought Leadership

    kpmg global ai in finance report

    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 exceeding ROI expectations, exposing a widening gap between broad adoption and exceptional performance. The strongest gains are concentrated in judgment-intensive work, with 70 percent reporting improved decision-making quality and 71 percent improved decision-making speed, while organizations deploying agentic AI outperform peers by 32 percentage points on average. Governance is a performance driver, not a constraint: organizations able to produce AI audit evidence efficiently report error reduction at 33 percent versus 6 percent for those that cannot, and confidence in scaling at 42 percent versus 14 percent. Data quality is simultaneously the most cited barrier and the greatest identified opportunity, with 36 percent naming improved data integration as their highest-value lever. Workforce capability represents a distinct bottleneck, with 38 percent upskilling existing teams but only 28 percent hiring for new skillsets, and data fluency identified as the most critical gap. KPMG frames the path forward as a reinforcing cycle of decision-oriented AI deployment, rigorous governance, embedded measurement, and deliberate workforce shaping — collectively constituting what it terms the Decision Advantage.

    3 minRead
    KPMG Thought Leadership

    See it differently

    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 its global mobility professionals on transforming the function's efficiency and strategic value in this hypercompetitive environment. Key topics across the three publications include EU pay transparency deadlines, compliance audit readiness, social security regulatory shifts, and the distorting effect of national tax policy on talent competition. AI is identified as a transformative force for mobility operations, particularly in automating payroll data management and unlocking new levels of operational efficiency. The series also addresses structural questions around target operating models, partner ecosystems, and how unconventional assignment types are reshaping traditional mobility frameworks. Mobility leaders are urged to move proactively on compliance and technology adoption before geopolitical volatility and regulatory scrutiny force reactive responses.

    3 minRead
    KPMG Thought Leadership

    Transforming the Enterprise

    Enterprises are accelerating transformation faster than they are redesigning the organizational structures required to sustain it, and that gap is the central risk. Based on a survey of 1,750 senior transformation leaders across 20 countries, KPMG finds organizations are managing an average of 3.5 concurrent transformation initiatives, creating coordination complexity most were never built to absorb. Early AI gains are real but fragile: productivity improvements are being layered onto fragmented workflows and disconnected systems, limiting durable enterprise value. Only 28% of organizations measure operational or revenue outcomes tied to trusted AI, despite 60% identifying trust and governance as a strategic differentiator. The differentiating capability is not the volume of transformation activity but enterprise orchestration — the ability to align priorities, integrate execution, and direct change coherently across interconnected systems and decisions. KPMG frames the path forward around three priorities: rebuilding technology and data foundations, redesigning work, and strengthening the leadership discipline to coordinate transformation at scale.

    3 minRead
    KPMG Thought LeadershipMay 13

    AI Governance Principles for Boards

    KPMG, co-developed with the INSEAD Corporate Governance Centre, has released a principles-based framework to guide board-level oversight of artificial intelligence. The framework comprises 5 core principles covering strategic oversight, technology and security, workforce transformation, trustworthy AI, and board accountability. Built on KPMG's Trusted AI approach, it treats trust and transparency as prerequisites for AI scaling rather than obstacles to it. The principles are designed to be sector-agnostic and applicable across jurisdictions and varying levels of AI maturity, allowing boards to adapt them alongside local regulatory requirements. The framework was informed by experienced board members globally and is intended to help directors ask sharper questions and balance opportunity against risk without overstepping into management. A companion webinar hosted by INSEAD is scheduled for 21 May 2026 to translate the principles into practice.

    3 minRead
    KPMG Thought LeadershipApril 9

    kpmg google cloud alliance expansion agentspace adoption

    KPMG has expanded its AI alliance with Google Cloud to accelerate enterprise adoption of Google's Agentspace platform, delivering modular and scalable AI agent solutions to clients across legal services, banking, and other industries. The collaboration moves beyond a standard vendor relationship, positioning KPMG as an implementation and transformation partner that combines Google Cloud's AI infrastructure with the firm's industry-specific expertise. Target use cases focus on automating and augmenting complex business operations where agentic AI—systems capable of reasoning and taking multi-step actions—can drive measurable efficiency gains. The partnership is designed to scale across sectors, with legal and financial services serving as initial deployment verticals given their high volumes of document-intensive, decision-driven workflows. KPMG's investment in this alliance reflects a broader strategic bet that agentic AI, not generative AI alone, will define the next wave of enterprise transformation.

    3 minRead
    KPMG Thought LeadershipJanuary 21

    ai quarterly pulse survey

    KPMG's AI Quarterly Pulse Survey finds enterprises are moving decisively from AI experimentation into large-scale production, with 2026 marked as the inflection point for this transition. The survey tracks sentiment and investment patterns across agentic AI, generative AI, AI scaling, and workforce integration. Organizations are prioritizing trusted AI frameworks as deployment velocity increases and governance demands intensify. The shift reflects growing executive confidence in AI's measurable business value, moving the conversation from proof-of-concept ROI to operational performance at scale.

    3 minRead
    KPMG Thought LeadershipJuly 12

    kpmg microsoft agreement 2023

    KPMG and Microsoft announced a landmark multi-year cloud and AI agreement in July 2023, committing to embed artificial intelligence across KPMG's Audit, Tax, and Advisory practices. The alliance centers on Microsoft's Azure OpenAI Service, Microsoft 365 Copilot, and related cloud infrastructure to transform how KPMG delivers professional services. KPMG committed to investing $2 billion over 5 years in AI and cloud capabilities, with Microsoft's technology forming the core platform for that buildout. The deal targets both internal workforce productivity and the development of new AI-powered client solutions at scale. This positions KPMG as one of the largest professional services deployments of Microsoft's generative AI stack, with the intent to differentiate across all three service lines against Big 4 competitors.

    3 minRead