The only KPI-backed read on how enterprises move from AI adoption to real AI readiness.
We crunched the data from Gen AI Leadership Forum (2025) to map the state of adoption, ROI and AI readiness — 175 KPI metrics, 17 sessions, 13 chapters, cross-checked against thought leaders like IBM, McKinsey, Gartner, WEF and Eurostat.
No opinion. No vendor decks. Just what the room actually said, and what it means. Read it before your next board meeting — then come close the loop live at the 2nd Gen AI Leadership Forum this October 21–22 at OTEAcademy, Athens, Greece.
Two-thirds of organisations run AI live in at least one unit — but only about 1 in 5 have the data, skills and governance to scale it past a pilot. That gap is the report's most consistent structural finding.
A KPI-backed baseline of what leaders actually measure — turned into an evidence-led view any team can benchmark against.
Eight readiness pillars scored 0–5. Use Case Deployment leads at 4.17; Strategy, Data & Infrastructure and Innovation Velocity sit at zero. An AI Delta of ~3.4 still to close.
500+ attendees across 300+ companies — 74.9% senior or decision-maker, 41.7% C-level or founder. Seniority, function, company size and industry, fully profiled.
The same 175 metrics through six lenses — Boards & CEOs, CTOs, Product, Governance, HR and Investors — each with the shift to make and what to do next.
The least-proven, thinnest-measured area — just 7 of 175 metrics. Where readiness is lowest, and where moving early matters most.
The findings turned into a to-do list — each with an owner, a timeline, one number to watch and how to get there. The gap is the plan.
How every figure was captured, classified and checked — and the 10 headline numbers cross-checked live against named external sources.
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