Nathaniel Whittemore

That is a 52-point trust gap.

88% of executives said that their employees have adequate tools, but only 21% of workers agree.

That is a 67-point gap.

This reflects something that we found when we were aggregating surveys for the maturity maps, that something like 93% of all AI spending goes to infrastructure and models and compute and tools, compared to just 7% invested in the humans using those things.

That is a recipe for disaster, and the disaster is showing up in the data.

Which brings us back to a theme which is going to come up in a different way on Monday's episode about harness engineering.

The quintessential lesson of the last year of AI adoption in the enterprise is that picking the tools and getting access to the models is not enough.

The companies that are seeing results and getting value out of AI are designing systems and structures that support its use and support the people using it.

I called this episode the Excited Anxiety of Enterprise AI because the people who have gone all in, using Clawed Code or OpenClaw or Cowork or Codex or any of these other tools, genuinely go to sleep and wake up feeling like they have superpowers.

And yet for everyone else, they feel increasingly adrift, at risk of obsolescence.

Simply put, there is a leadership crisis when it comes to AI, and the companies that don't solve it are going to fail.

This is a theme I'm sure we will continue to watch, but for now, that's going to do it for today's AI Daily Brief.

Appreciate you listening or watching, as always, and until next time, peace.

Today on the AI Daily Brief, all of AI's new models and tools.

And before that in the headlines, one model that you're not getting apparently is OpenAI's forthcoming spud.

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

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