Insights
Insights
External benchmarks, datasets, and surveys — with a short read on what each means for enterprise leaders. Sign in to reorder by your role and industry.
- SurveyMcKinsey Global Survey
The state of AI in the enterprise
Adoption keeps rising, but value concentrates in organizations that redesign workflows and govern autonomy — not those that bolt copilots onto existing processes.
What this means: If most teams report adoption without measurable value, treat the gap as a work-redesign problem before a tooling one.
- BenchmarkStanford HAI
AI Index annual report
Capability benchmarks improve faster than enterprise readiness. Model performance is rarely the binding constraint for transformation outcomes.
What this means: Use capability trendlines to set ambition, but anchor your roadmap to governance and value measurement maturity.
- Open datasetOECD.AI
AI policy and adoption indicators
Cross-country indicators on AI investment, skills, and policy — useful for sizing where your industry and region sit relative to peers.
What this means: Benchmark your sector against regional baselines to pressure-test whether your pace matches the competitive context.
Diagnostic
Three Gaps organizational assessment
A 36-question diagnostic across work redesign, governance, and value measurement — one Insight product among the benchmarks above, not a personal quiz.
Start the assessment