Reference data, page 1 of 2
State of AI in the Enterprise, 2026
Deloitte asked 3,235 leaders in 24 countries what AI has actually done for them. These are the numbers, with nothing added and nothing charted.
The second page holds PwC’s Asia Pacific CEO numbers. Several measures appear on both.
Deloitte
State of AI in the Enterprise
2026 edition. Fieldwork August to September 2025.
| Publisher | Deloitte |
|---|---|
| Sample | 3,235 respondents |
| Seniority | Director, vice president, president, C-suite and board |
| Split | 50% IT leaders, 50% line of business leaders |
| Countries | 24 |
| Industries | 6 |
| Fieldwork | August to September 2025 |
| Collection | Self-reported survey responses |
Ambition against outcome
What organisations hoped for, and what they report getting.
| Hoped to grow revenue through AI | 74% |
| Are actually achieving increased revenue | 20% |
| Report gains in productivity and efficiency | 66% |
Deloitte, State of AI in the Enterprise, 2026 edition.
Value actually achieved
Percentage of organisations reporting each benefit achieved.
| Enhanced insights and decision making | 53% |
| Reduced costs | 40% |
| Enhanced customer relationships | 38% |
| Improved products, services and innovation | 20% |
| Increased revenue | 20% |
Respondents could report more than one benefit.
Depth of change
Current approach to digital transformation with AI.
| Surface level use of AI | 37% |
| Deeply transformingNew products or reinvented processes | 34% |
| Redesigning key processes | 30% |
“AI is delivering on efficiency and productivity, and twice as many leaders as last year are reporting transformative impact. But just 34% are truly reimagining the business.”
Figures may not sum to 100% due to rounding.
Scale and access
How far AI has spread inside organisations.
| Growth in worker access to AI during 2025Access expanded rather than deepened | +50% |
| Companies expecting at least 40% of experiments in productionSet to double within six months | Doubling |
“Worker access to AI rose by 50% in 2025, and expectations for scale are high: the number of companies with ≥40% projects in production is set to double in six months.”
Deloitte, State of AI in the Enterprise, 2026 edition.
Agentic AI, and its guardrails
Companies using AI agents, and companies governing them.
| Using agentic AI at least moderately today | 23% |
| Have a mature governance model for autonomous AI agentsRoughly one in five | 20% |
“Agentic AI usage is poised to rise sharply in the next two years, but oversight is lagging: Only one in five companies has a mature model for governance of autonomous AI agents.”
Deloitte describe oversight as lagging adoption.
Physical AI
Robotics, digital twins, intelligent monitoring and similar.
| At least limited use of physical AI today | 58% |
| Expected use of physical AI within two years | 80% |
| Gain over two yearsDeloitte name Asia Pacific as leading early implementation | +22 pts |
“More than half of companies (58%) report at least limited use of physical AI today, and that figure is set to reach 80% in two years—with Asia Pacific leading in early implementation.”
Deloitte, State of AI in the Enterprise, 2026 edition.
Preparedness
Level of preparedness for AI adoption, by function.
| Say their strategy is highly prepared for AI adoptionUp on last year | 42% |
| Feel less prepared on infrastructure, data, risk and talentDeloitte report this as a gap, without a single headline figure | Gap |
“Compared to last year, more companies (42%) believe their strategy is highly prepared for AI adoption—but they feel less prepared in terms of infrastructure, data, risk, and talent.”
Functions measured: tech infrastructure, strategy, data management, risk and governance, talent.
Workforce strategy priorities
Percentage of organisations naming each as a priority.
| Educating the broader workforce for AI fluency | 53% |
| Upskilling and reskilling strategies | 48% |
| Specialist talent acquisition | 36% |
| Career path redesign | 33% |
“The AI skills gap is seen as the biggest barrier to integration, and education—not role or workflow redesign—was the No. 1 way companies adjusted their talent strategies due to AI.”
Deloitte name the AI skills gap as the biggest single barrier to integration. Education, not role or workflow redesign, was the number one talent response.
What Deloitte argue
“Organizations today stand at the untapped edge of AI’s potential. Our 2026 AI report reveals that success hinges on the ability to move boldly from ambition to activation.”
“Sovereign AI is when a country—and companies within it—deploy AI under their own laws, infrastructure, and data. It’s not just about ownership. It’s about strategic independence.”
Quoted from Deloitte, spelling and punctuation left as published.
Reading these numbers honestly
- Every figure is self-reported by a leader about their own organisation. Nothing here was measured before and after.
- 24 countries are aggregated. No single country is reported separately.
- Fieldwork closed in September 2025. Carry that date whenever you carry the number.