AI Adoption vs AI Enablement: Why Most Organizations Get This Wrong

88% of organizations use AI. Only 6% capture real value. The problem is almost never the tools. 👉 Episode page — Target State Canvas, research, full track: https://unrsnbl.ai/enablement/ae001-what-does-an-ai-enabled-organization-look-like Most organizations start their AI journey by deploying tools. The logic is clear: give people access, run training sessions, and productivity will follow. What actually happens is more complicated — and the gap between what organizations expect from AI and what they get is rarely a technology problem. In this episode: — The difference between AI adoption and AI enablement — Why the artifact of work is changing — and what that means for your organization — Why most AI initiatives underdeliver even when the tools are good — The Target State Canvas: the exercise and a tool that shows whether your leadership team is aligned 📄 Target State Canvas (free): https://unrsnbl.ai/resources 📺 AI Enablement in Organizations: https://unrsnbl.ai/enablement 🎬 All videos: https://unrsnbl.ai/videos 📦 Telegram: https://t.me/unreasonableai Research: McKinsey — The State of AI in Early 2025 Timestamps: 00:00 The gap — 88% vs 6% 00:32 Scope: this series is about Gen AI 01:20 What organizations actually do when deploying AI 02:02 AI adoption vs. AI enablement — the distinction that matters 03:15 How AI changes the artifact of work 04:24 What most organizations are missing: the target state 05:17 The pattern I have seen play out in many organizations 06:40 Target State Canvas 07:13 The two-sentence exercise 08:39 Resources #ai #aienablement #aiinorganizations #aistrategy #unreasonableai #aiwaysofworking