AI Execution Index
Full dimension breakdowns, trend analysis, and benchmarks across the six pillars of enterprise AI execution.
6
Dimensions
21+
Sources
Q1 2026
Latest data
Six Dimensions of AI Execution
Each dimension reflects a measurable, decision-relevant aspect of enterprise AI maturity. Use these as benchmarks for your organization.
72%
of enterprises have deployed AI in at least one business function, up from 61% in 2025.
65%
Use GenAI regularly
28%
Scaled across functions
14%
of enterprises with AI agent pilots have reached production scale, despite 78% running active pilots.
78%
Active pilots
4.7 mo
Avg stall time
36%
of enterprises have a formal AI governance framework, despite 75% having basic usage policies.
75%
Have usage policy
55%
AI oversight board
2x
more likely to achieve significant AI ROI when organizations run effective training programs. Yet 87% still report skill gaps despite 68% having launched programs.
42%
ROI w/ effective training
21%
ROI without training
63%
report positive ROI, but only 5% achieve substantial ROI at scale. Median time to ROI: 14 months.
42%
ROI w/ AI training
21%
ROI without training
$407B
Global enterprise AI spending projected for 2026, up from $302B in 2025. Average budget: $3.7M per enterprise.
$3.7M
Avg budget (1K+ emp)
92%
Increasing spend
Where does your organization stand?
Use the six dimensions as a benchmark against your current state. Each dimension represents a distinct program maturity question. Organizations that honestly score themselves and close specific gaps see significantly faster ROI.
Adoption
Has AI deployed in at least 3 business functions?
Scaling
Has at least 1 AI agent moved to production?
Governance
Is there a formal AI governance framework in place?
Readiness
Do teams have structured AI training programs?
ROI
Has any AI use case demonstrated P&L-level impact?
Adoption Trends and Benchmarks
Year-over-year progress across the six dimensions.
Adoption Rate Trajectory (2022 to 2026)
Percentage of enterprises with AI deployed in at least one functionPilot-to-Production Funnel
Where enterprises get stuckGovernance Maturity Ladder
Percentage of enterprises at each stageROI by AI Training Investment
Organizations with vs. without AI upskilling programsGlobal Enterprise AI Spending ($B)
Actual spend 2023 to 2025 and 2026 projectionComplete Key Findings
All nine core metrics with status indicators and source citations.
| Metric | Current Figure | YoY Change | Status | Source |
|---|---|---|---|---|
AI Deployment Rate 1 or more production functions | 72-78% | +11pp | ● On track | McKinsey 2026 |
GenAI Regular Use Weekly or daily usage | 65% | +32pp | ● Accelerating | McKinsey 2026 |
Pilots Reaching Production Scale AI agents specifically | 14% | N/A | ● Critical gap | Digital Applied 2026 |
Formal AI Governance Framework Not just policies | 36% | +8pp | ● Watch | Knostic/Pacific AI |
Employees Feeling AI-Ready "Very comfortable" using AI | 9% | +2pp | ● Critical gap | Gallup Q3 2025 |
Substantial ROI at Scale P&L level impact | 5% | +1pp | ● Critical gap | BCG (n=1,250) |
ROI with AI Training Programs vs. 21% without | 42% | N/A | ● Strong signal | DataCamp/CFO Dive |
Enterprise AI Spend Growth 2026 projection | +34.8% YoY | Accelerating | ● Strong | IDC 2026 |
Workforce Needing Reskilling By 2027 | 80% | N/A | ● Urgent | PwC / WEF |
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