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0.8→1.7%of revenue now flows to AI — roughly doubling year over year, even as returns lag.
3%of organizations are scaling agentic AI across departments (900+ orgs, 15 industries, 10 countries).
88%organizational AI adoption in Stanford’s 2026 synthesis; its underlying surveys predate this September refresh.
~6%qualify as high performers: ≥5% EBIT impact and significant AI value.
67/32Organizational factors drive ~2× the AI impact of individual skill (67% vs 32%).
14%of enterprises have a documented AI strategy with clear goals. The rest default to cost-cutting.
77%of the hardest deployment challenges were invisible costs — change management, data quality, process redesign. Model choice was fully interchangeable for 42% of implementations, and a critical differentiator for only 19%.
7%run fully autonomous agents in production today (n=951).
80%+of CEOs are dissatisfied with progress on their AI transformation — from Bain's CEO survey, n=100, a much smaller base than the figures above.
15×year-over-year growth in active AI agents across Microsoft 365 — 18× at large enterprises (M365 telemetry, not survey).
74%of leaders expect to be using AI agents at least moderately by 2027 — few have scaled them yet.
58%of AI users are producing work they couldn't a year ago — 80% among Frontier Professionals.
40%of enterprise apps forecast to embed task-specific agents by end-2026. Published in 2025; not an observed adoption rate.
49%of Microsoft 365 Copilot conversations now support cognitive work — analysis, problem-solving, creative thinking (M365 telemetry, not survey).
21%of organizations have a mature governance model for agentic AI — agents are scaling faster than their guardrails.
19%of AI users work in the Frontier Zone, where individual skill and organizational readiness reinforce each other.
40%of large-company respondents report scaling agents in at least one function; 27% in 2025.
37%attribute positive enterprise EBIT impact to AI.
~20%report AI operating costs limiting use.
32%report forgoing a software purchase because coding agents enabled an internal build.
14 / 39%report past-year AI-related workforce declines / expect declines next year.
14%of surveyed CEOs define the profit-and-loss impact of every AI initiative.
26%of surveyed CEOs embed AI within broader business transformation.
59 / 9%have progressed beyond agent pilots / toward autonomous multistep workflows.
16%have widely or fully replaced fragmented legacy systems with an integrated platform.
20%have implemented AI testing, auditing, and risk-assessment processes.
74%of frontline white-collar employees use AI regularly.
41%of regular AI users report greater cognitive load.
42%of frontline regular AI users report saving at least one workday weekly.
66%of frontline regular AI users receive limited or no guidance on using saved time.
81%of Global 2000 enterprises use three or more model families in testing or production, up from 68% less than a year earlier.
88%of organizations are already embedding AI agents into workflows, products and value streams.
26→76%of organizations have a Chief AI Officer, 2025 to 2026.
25%of C-suite leaders report widespread and sustained value from AI, up two points since July.
3→5%of annual business budgets organizations expect to allocate to AI, 2025 to 2026.
94%of organizations will keep investing in AI even if it does not deliver returns in 2026.
72%of CEOs say they are the main decision maker on AI in their organization.
90%of companies are increasing AI budgets again, even as returns lag.
34%of companies are using AI to deeply transform their business; productivity gains are far more common.
30%of organizations are redesigning key processes around AI.
~3/4of enterprise leaders say they are adopting agentic AI; few are capturing value yet.
14%lower job-finding rate since 2022 for workers aged 22–25 in AI-exposed occupations; unemployment is flat.
0.8→1.7%of revenue now flows to AI — roughly doubling year over year, even as returns lag.
3%of organizations are scaling agentic AI across departments (900+ orgs, 15 industries, 10 countries).
88%organizational AI adoption in Stanford’s 2026 synthesis; its underlying surveys predate this September refresh.
~6%qualify as high performers: ≥5% EBIT impact and significant AI value.
67/32Organizational factors drive ~2× the AI impact of individual skill (67% vs 32%).
14%of enterprises have a documented AI strategy with clear goals. The rest default to cost-cutting.
77%of the hardest deployment challenges were invisible costs — change management, data quality, process redesign. Model choice was fully interchangeable for 42% of implementations, and a critical differentiator for only 19%.
7%run fully autonomous agents in production today (n=951).
80%+of CEOs are dissatisfied with progress on their AI transformation — from Bain's CEO survey, n=100, a much smaller base than the figures above.
15×year-over-year growth in active AI agents across Microsoft 365 — 18× at large enterprises (M365 telemetry, not survey).
74%of leaders expect to be using AI agents at least moderately by 2027 — few have scaled them yet.
58%of AI users are producing work they couldn't a year ago — 80% among Frontier Professionals.
40%of enterprise apps forecast to embed task-specific agents by end-2026. Published in 2025; not an observed adoption rate.
49%of Microsoft 365 Copilot conversations now support cognitive work — analysis, problem-solving, creative thinking (M365 telemetry, not survey).
21%of organizations have a mature governance model for agentic AI — agents are scaling faster than their guardrails.
19%of AI users work in the Frontier Zone, where individual skill and organizational readiness reinforce each other.
40%of large-company respondents report scaling agents in at least one function; 27% in 2025.
37%attribute positive enterprise EBIT impact to AI.
~20%report AI operating costs limiting use.
32%report forgoing a software purchase because coding agents enabled an internal build.
14 / 39%report past-year AI-related workforce declines / expect declines next year.
14%of surveyed CEOs define the profit-and-loss impact of every AI initiative.
26%of surveyed CEOs embed AI within broader business transformation.
59 / 9%have progressed beyond agent pilots / toward autonomous multistep workflows.
16%have widely or fully replaced fragmented legacy systems with an integrated platform.
20%have implemented AI testing, auditing, and risk-assessment processes.
74%of frontline white-collar employees use AI regularly.
41%of regular AI users report greater cognitive load.
42%of frontline regular AI users report saving at least one workday weekly.
66%of frontline regular AI users receive limited or no guidance on using saved time.
81%of Global 2000 enterprises use three or more model families in testing or production, up from 68% less than a year earlier.
88%of organizations are already embedding AI agents into workflows, products and value streams.
26→76%of organizations have a Chief AI Officer, 2025 to 2026.
25%of C-suite leaders report widespread and sustained value from AI, up two points since July.
3→5%of annual business budgets organizations expect to allocate to AI, 2025 to 2026.
94%of organizations will keep investing in AI even if it does not deliver returns in 2026.
72%of CEOs say they are the main decision maker on AI in their organization.
90%of companies are increasing AI budgets again, even as returns lag.
34%of companies are using AI to deeply transform their business; productivity gains are far more common.
30%of organizations are redesigning key processes around AI.
~3/4of enterprise leaders say they are adopting agentic AI; few are capturing value yet.
14%lower job-finding rate since 2022 for workers aged 22–25 in AI-exposed occupations; unemployment is flat.
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Today’s key figures, with the week and month in perspective.
SAP Crosses €10 Billion Quarterly Revenue as Joule AI Agents Drive Cloud Backlog to Record
Daily news · CFO
€10 Billion
SAP Crosses €10 Billion Quarterly Revenue as Joule AI Agents Drive Cloud Backlog to Record
Partnering with Blacksmith
Daily news · Builders
25x
Anthropic's own engineering team saw CI jobs grow 25x in six months as coding agents scaled — verification, not code generation, is now the bottleneck, and infra is emerging to address it.
How 'Barclays-onomics' adds up - profits up 12% to £2.3 billion, workforce down five percent to cut costs. AI is the icing on the cake, it seems…
Daily news · CFO
5,000
Barclays cut 5,000 jobs and credited AI for cost efficiency despite already-tight cost-to-income ratios, suggesting headcount reduction narratives may outrun what AI alone delivers; finance leaders citing AI savings in workforce plans should separate AI-attributable efficiency from ongoing cost discipline before building it into next year's budget.
[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
Daily news · Builders
$22m
[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
Hyperscalers quietly shed infrastructure commitments
7-day trend · Daily Pulse
23,040
Nvidia GB300 GPUs the Essex site was set to house
Frontier labs can't control their own agents
30-day trend · Daily Pulse
16,000+
times OpenAI agents scanned a UN trade site (UNCTAD) between April and June
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Outside-In Diagnosticsign in
Enter a ticker for an outside-in read of a public company's working capital, cost efficiency and growth against peers, built from SEC filings and earnings calls, with an executive synthesis.
Engagement phase: DiscoverWho uses it: Finance team & advisor
Finance roles: CFO · FP&A
CFO Peer Benchmarkssign in
Margins, FCF conversion, ROIC, and the working-capital cycle (DSO/DPO/DIO/CCC), percentile-ranked against sector peers.
Engagement phase: Discoveralso DiagnoseWho uses it: Finance team & advisor
Finance roles: CFO · FP&A · Treasury
TransformTurn the read into a decision — agent catalogues, operating-model studios, and a briefing deck.
See all Transform
AI Investment Economicssign in
CFO-first calculator for enterprise AI cost, TCO, unit economics, ROI, and payback across the whole stack.
Engagement phase: Diagnosealso DiscoverWho uses it: Finance team & advisor
Finance roles: CFO · FP&A
CxO Command Centersign in
The executive cockpit — KPIs, scenarios, and an agent operating model.
Engagement phase: Designalso EvolveWho uses it: Finance team & advisor
Finance roles: CFO · CAO / Controller · CIO / CTO · Chief Data & AI Officer · Audit Committee
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Assemble a company-specific, persona-framed executive deck from the site's own intelligence.
Engagement phase: Across every phaseWho uses it: Finance team & advisor
Finance roles: CFO
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