The headline, and what's behind it
McKinsey's latest State of Organizations report surveyed over 10,000 executives globally. The number that gets quoted: 82% of organizations are using AI in some form. Sounds like the world has moved. But there's a second number that tells you more: only 1% of those organizations consider themselves mature in their AI adoption.
That's a massive gap. And if you've been working in organizational change for a while, it probably feels familiar. It looks a lot like the early years of digital transformation, when "we have a website" counted as being digital. Most of that 82% is running pilots in isolated teams, giving people access to tools without much guidance, or experimenting without thinking through what needs to change around the technology for it to actually land.
Where it gets stuck
The report identifies three recurring bottlenecks: unclear ownership of AI initiatives, skills development that stays locked inside technical teams, and resistance to changing established workflows. If you read between the lines, what McKinsey is describing are change problems. People problems. System problems. The technology works. The organization around it doesn't, or not yet.
This is something I see a lot in conversations with change professionals. They recognize the pattern from ERP rollouts, from restructuring programs, from every transition where tools got bought and training got planned but adoption stalled because nobody designed the actual shift in how people work. AI is following that same path, just faster and with more noise around it.
What this says about the market: Organizations are spending on AI but not on the organizational change required to make it stick. That's not a technology gap. It's a capability gap, and it's exactly where change professionals can add value, if they understand the AI adoption context well enough to be credible.
Why this matters for your positioning
If you're a change professional looking at AI and wondering where you fit: this data is your answer. The maturity gap isn't closing on its own. Companies are throwing resources at the technology side and underinvesting in the human and organizational side. That's a pattern you know how to work with.
The question is probably: how do I make this concrete? How do I position myself as someone who can help close that gap? That starts with understanding the specific challenges of AI adoption, which are different from a generic transformation project, and being able to talk about them with confidence.
Maybe you've been thinking about this for a while. Maybe you just noticed the shift and you're not sure yet. Either way, the data says the same thing: there's a growing need for people who can design the change around AI, and there aren't enough of them.