The $40 Billion Blind Spot: Gallup Just Told Us Why the AI Revolution Is Stalling, and It's Not the Tech
Gallup just dropped its 2026 Global Workplace report. Engagement at 20%. Ten trillion in lost productivity. Up to $40 billion sunk into enterprise AI, and 95% of pilots returning zero. It's not a tech problem. It's a management problem. And the layer meant to lead the AI revolution is the most burned-out part of your org chart.
The AI Paradox: Why Your Smartest Investment Might Be Breaking Your People
We were sold a story that AI would free knowledge workers from the mundane. Admin, scheduling, first drafts, data crunching. And in some ways it has. But zoom out from the dashboards and look at the actual humans. There's something off. A jittery energy. Forced optimism covering over something nobody wants to name.
Why AI Change Is So Hard (And What the 16% Who Get It Right Are Doing Differently)
AI adoption is stalling because organisations are using change frameworks built for deterministic technology on a probabilistic system. Research shows why the 16% who redesigned around the human side are pulling away from everyone else.
What human in the loop actually means
"Human in the loop" doesn't mean reviewing AI outputs. Research reveals five ways AI distorts judgment that most review processes miss — and what real oversight looks like.
The problem with your AI rollout was named in 1984
We keep asking why AI adoption is so hard. And then we hand it to the same methodology we use for every other change programme. The one built for systems that do exactly what you tell them.
Five muscles every leader needs to build in the age of AI
The gap in most AI strategies isn't the technology — it's the leader. Here are the five muscles every leader needs to build to navigate AI adoption successfully.