Gen & Agentic AI benchmark 2026
Where organizations really stand on generative and agentic AI — maturity, adoption, and the value actually landing on the bottom line.
What's inside
The 2026 edition tracks how organizations have moved from generative AI experiments to agentic systems that carry real work. We benchmark adoption, maturity and realised value across sectors, and compare the leaders with the majority still stuck in pilots.
The picture is uneven. A small group has industrialised AI — clear ownership, reusable data foundations, and agents embedded in day-to-day processes. Most organizations are still running disconnected use cases with limited measurable impact.
The benchmark shows what separates the two groups, and what to fix first if you want AI to compound rather than accumulate.
Inside the benchmark
Adoption & maturity
How far organizations have progressed from pilots to production, benchmarked by sector and company size.
From gen AI to agents
Where agentic systems are already carrying work, and where the returns remain theoretical.
Value realised
What leaders actually measure — and the gap between reported ambition and booked impact.
Data foundations
The data and platform readiness that determines whether AI use cases can scale beyond one team.
Ways of working
How roles, governance and decision rights change once agents enter the process.
Where to start
The moves that most consistently move an organization up a maturity level within a year.
