Ethan Mollick

speaker

673 appearances 1 recordings 1 series first heard Jul 2026 last heard 9 Jul

Ethan Mollick’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Strange Loop Podcast · Ethan Mollick | The long way is the shortcut: experiments over AI playbooks · 9 Jul 2026 podcast

I think that's the wrong way to go, ultimately, because I think you actually want people to be brought into the process, either as sources of variance, right?

I don't want Claude's decision-making on everything.

I want to use humans so that I don't just do Claude-based work.

Even if Claude's work is good, it's not the work I always want to see.

because you want to make important decisions, because you want to make interesting decisions.

But that's an example of a really radical approach.

And I think the sort of stepwise thing, which is like, okay, we'll just code more, is probably not going to be the answer.

Maybe not the full way to the dark factory, but there's somewhere in between that I think a lot of organizations will have to end up.

Now is the time for experts.

If you're an expert, you're in great shape because you can look at the output of an AI, know whether it's good or bad.

It's a great time to be an expert because you can be hyperproductive.

Finally, you can delegate to machines that will do the work for you.

You can assess the results.

It's a reason why I think so many experts descend into AI psychosis when they start using agents the first time.

I don't know if you've experienced this yourself, but the first time you use Cloud Code, people kind of go away for the weekend and they come back with this insane output that is often very useful, but is like, I figured it all out, right?

Because they've had this image in their head.

They haven't had people to implement it.

So experts have their own value.

How do you create new experts becomes a real problem.

right, because that requires trial and error, it requires mentorship, it requires doing and failing at tasks that get increasingly hard as you move forward, and AI shortcuts all that.

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