Today on the AI Daily Brief, we're discussing the AI doom cycle and how we can move out of doom desperation into a place of enlightened anxiety.

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

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If you want to learn more about sponsoring the show, send us a note at sponsors at AIDailybrief.A.I. Last two things. First of all, I have an open job for a growth engineer. This person doesn't have to be pre-Ai technical, but you do have to be a master of Claude Code or Codex and really interested in value-added ways to grow this audience by doing cool stuff for them. Again, you can find that at jobs.ailydief.aI.aI.dilybrief.A.I. And lastly, we are registering for cohort three of EnterpriseClaw. You can find that at EnterpriseClawe. Final note, today's episode is one extended episode instead of a split between headlines and Maine. turned out all the headlines fit in the context of the Maine, but I'm sure we'll be back with our normal format tomorrow.

Welcome back to the AI Daily Brief.

As I was preparing the show, I noticed that a lot of the stories that people have been

discussing over the weekend and the ones that I wanted to cover had in a strange way a relationship to each other

that was worth exploring. Not because they were directly related, but because they were all part

of something that I've been thinking about for a while, which as of this episode, I am calling the

AI doom cycle. Today I want to explore what the doom cycle is, why different types of people in different

contexts fall in different parts of it, and how I think we can get to the far side of it, which

I believe is the healthiest place from which to actually engage with the big questions around

AI, whether it's policy or something else. Now you guys probably recognize the inspiration

for this, which is of course Gardner's famous technology hype cycle chart.

The idea of the hype cycle chart is that new technologies tend to, in their argument, follow

a pattern as they diffuse throughout society.

It kicks off with an innovation trigger, the sparks of that new thing that becomes available,

surges up to what they call the peak of inflated expectations.

This is the very top of the hype cycle when everyone's excited about a thing.

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