9 posts.
85% of employees say their AI training doesn't help them use AI in their actual role — and it isn't because companies aren't training. Gallup found the thing that moves usage isn't the course at all.
47% of U.S. employees say their company has integrated AI — but only 15% use it daily. That gap isn't a training problem or a tool problem. It's an ownership vacuum, and there's a two-hour-a-week fix.
Over 80% of enterprise AI projects fail, twice the rate of normal IT projects — and it's almost never the technology. It's that companies buy the licenses and skip the training. Here's the gap, and what the survivors do differently.
Executives overwhelmingly say AI is reshaping their roles — yet when a seat opens, only about 1 in 11 organizations actually rethinks the job before filling it. That gap is a quiet, fixable mistake, at every level.
Around 91% of businesses now use AI in some form, yet the average worker reclaims only about 5% of their week from it. The gap between using AI and actually getting time back is the whole story.
Only about one in five corporate AI investments delivers a measurable return, and just one in fifty is transformational — yet AI tops the CEO priority list. Here's what separates the rollouts that work.
Most workplace AI policies are either nonexistent or a twelve-page legal document nobody reads. Here's the short version that covers what actually matters.
A simple filter for choosing where to start with AI — one that steers you toward quick wins and away from the tasks that create real risk.
AI feels fast, but 'feels fast' and 'saves time' aren't the same thing. A back-of-the-envelope way to work out which tasks actually pay off.