Industry AI Benchmarks
External AI surveys and research from consultancies, analysts, frontier labs and hyperscalers, each linked to its publisher and read as that publisher reported it.
For the same 2026 readings laid side by side, with the comparability rules stated, see Cross-report compare.
What the 2026 AI reports each found
The headline figures from the major 2026 studies across ~30 publishers, shown source by source. The surveys ask different questions of different populations, so no figure is averaged, ranked or called a consensus across them.
37 reports in this comparison
Professional services, analysts, academia, frontier labs, enterprise SaaS, hyperscalers, VCs and government indices. Links identify the source document; aggregation remains withheld without comparability metadata.
Adoption — source-specific readings
Each bar is the publisher's own reported value. Missing readings stay absent; no cross-source mean, median, range, rank, or consensus is calculated.
- US Census
- Ramp
- Snowflake
- McKinsey
- Stanford
- OECD
What blocks scaling — the barriers
Source-specific blocker readings. Similar display labels may hide different questions or denominators; missing values stay absent and no aggregate is computed.
- PwC
- ServiceNow
- Snowflake
- KPMG
- Deloitte
- SAP
- EY
- McKinsey
- BCG
- Stanford
- Microsoft
- HFS
Agents in production — real, but early
Source-specific agent readings. Deployment definitions are not treated as equivalent; missing values stay absent and no aggregate is computed.
- KPMG
- Forrester
- ServiceNow
- Salesforce
- Snowflake
- Databricks
- AWS
- Deloitte
- Bain
- Menlo Ventures
- Gartner
Workforce — each publisher's own reading
Listed rather than charted: most of these metrics were asked by a single publisher, so a bar would imply a comparison that isn't there. No averages are computed across rows.
| Publisher | Reading | Metric | Who was asked |
|---|---|---|---|
| IBM | 76% | Organizations with a Chief AI Officer | Up from 26% a year earlier — IBM states both endpoints · May 2026 |
| BCG | 74% | Employees who are regular AI users | Employees, not orgs (AI at Work 2026) |
| Deloitte | 60% | Employees who are regular AI users | Workers with sanctioned AI access (from <40% a yr ago) |
| OpenAI | 25% | Employees who are regular AI users | US workers using ChatGPT for work (45% of postgrads) |
| KPMG | 22% | Orgs where AI is part of everyday work | Up from 13% in Q1 2026 (an 'embedded' bar) |
| Stanford | 19% | Employment gap, ages 22–25 in AI-exposed roles | Shortfall vs similarly-aged workers in LESS-exposed occupations — widened from 15% (Jul 2025) to 19% (Jun 2026). Not an adoption rate; Stanford's headline is NO widespread displacement |
Investment — each publisher's own reading
Listed rather than charted: most of these metrics were asked by a single publisher, so a bar would imply a comparison that isn't there. No averages are computed across rows.
| Publisher | Reading | Metric | Who was asked |
|---|---|---|---|
| Google Cloud | 97% | Increasing AI investment | Plan to invest more over the next 12 months · Jul 2026 |
| EY | 95% | Increasing AI investment | Tech-sector leaders |
| Bain | 90% | Increasing AI investment | Still increasing budgets |
| Accenture | 85% | Increasing AI investment | — |
| Deloitte | 84% | Increasing AI investment | — |
| IDC | 26% | Agentic AI as % of IT spend (2029, forecast) | IDC forecast to 2029 |
| Capgemini | 5% | AI spend as % of budget | Up from 3% |
| BCG | 1.7% | AI spend as % of revenue | Up from 0.8% a year earlier |
Value & ROI — each publisher's own reading
Listed rather than charted: most of these metrics were asked by a single publisher, so a bar would imply a comparison that isn't there. No averages are computed across rows.
| Publisher | Reading | Metric | Who was asked |
|---|---|---|---|
| EY | 98% | See positive ROI / value from AI | US SVP+ at orgs ALREADY investing in AI — the narrowest base on this chart · Jul 2026 |
| Snowflake | 92% | See positive ROI / value from AI | Of gen-AI adopters · fielded Aug–Sep 2025, so the data is ~12 months older than its Mar 2026 publication |
| Google Cloud | 84% | See positive ROI / value from AI | Seeing INCREASING financial returns (not first-year ROI) · Jul 2026 |
| Bain | 80% | CEOs dissatisfied with AI results | — |
| Gartner | 72% | Breaking even or losing money on AI | CIOs: breaking even or losing money on AI investments |
| SAP | 69% | See positive ROI / value from AI | Satisfied with AI ROI; 79% also report rework from poor outputs · Jul 2026 |
| PwC | 39% | CEOs reporting revenue up, cost down, or both | Panel re-survey of the SAME CEOs; PwC's own read is that the aggregate picture has NOT changed much since late 2025 · Aug 2026 |
| Accenture | 23% | Report sustained, enterprise-wide impact | DOWN from 32% earlier in 2026 — Accenture's own within-year restatement · Jul 2026 |
| Morgan Stanley | 21% | S&P 500 companies citing an AI benefit | Earnings-call mentions, up from 10% in 2024 |
| Workday | 14% | Have established / measurable AI ROI | Employees consistently getting positive net outcomes |
| PwC | 12% | Have established / measurable AI ROI | CEOs: AI delivered both cost AND revenue benefits |
| KPMG | 7% | Have established / measurable AI ROI | Report established ROI |
| McKinsey | 6% | AI high performers (>5% of EBIT from AI) | — |
Comparability guardrail
What is deliberately withheld
External AI Surveys & Research
The publications every stat above is drawn from — MBB, Big 4, hyperscalers, AI labs, and enterprise SaaS. Scoped to the view's year (change it below), and filterable by audience lens. Some assets (OpenAI Enterprise report, Anthropic Economic Index) combine survey data with usage analysis.