The AI Adoption
Gap 2026.
Everyone’s using AI. So why hasn’t anything changed? What Gallup, McKinsey, Microsoft and BCG found this year, and a ten-minute test to run with your teams.
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Three numbers that don’t add up
say AI has made them more productive
People using AI at work. They’re right. (McKinsey, 2026)
see any profit from it
Organisations, the same share as a year ago. (McKinsey, 2026)
think owning up would be rewarded
AI users who’d expect credit for changing how they work if short-term results slipped. (Microsoft, 2026)
Half of American employees now use AI at work. The time it saves goes straight back to the person who saved it, and it stays with them. The report shows where it goes, why nobody hands it back, and what the few organisations making money from AI did about it.
Twelve pages, every number sourced
The 2026 numbers
What Gallup, McKinsey, Microsoft and BCG found about AI at work this year, side by side.
What the 6% did differently
The organisations getting real profit from AI changed what they ask their teams to deliver. Here’s what that looks like.
Where each role is stuck
A page each on leaders, managers, HR and L&D, and operations, with the one move that gets each of them unstuck.
The collection test
Three questions, ten minutes, any team. Plus a worksheet to run it across three teams this week.
“If nothing you ask for has changed, nothing you measure will change, however much AI your people use.”
The collection test, page 11
G3NR8 has trained 150+ large organisations. This report is what we see in every one of them. It also runs as a series on our blog: start with part 1.
Want us to run it with your leadership team?
A half-day session runs the collection test across the business in one room, and you leave with the first tasks to change.
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