Ethan Mollick

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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

Like, it would solve a lot of problems for organizations, right?

Yeah.

So that's not where you're going to get your R&D breakthroughs from.

And the other thing is there's a desire to normalize the technology.

I mean, we're talking about playbooks.

People desperately want to bring in somebody who's just going to give them the standard playbook so they can just implement AI the way everyone else is implementing AI.

And there's just this quest for this stuff.

The easy ways to implement it are all ways that make AI sort of just a fuzzy processor in a sequence of things.

Great, now we can finally search across all of our documents in natural language.

We've solved the natural language processing problem.

It's such an unambitious way to view these tools.

So de-weirding them makes it easier for us as organizations, as leaders, to put this in a box or a bucket or to not worry about it.

But this is an inherently super strange technology.

I mean, in the course of three years, we've gone from nobody knowing this stuff existed to we can get PhD-level math work out of these things, and it writes a pretty good video game, and it can teach your kids things, and it does art, and reasonably good strategic judgment, and beats ethicists in all ethical recommendations.

How do you deal with a system like that where we can just decide it's just a fuzzy language processor?

or we can embrace the weirdness and move forward.

I really worry that the natural desire and the exhaustion with the pace of things forces people to think about this and try and think about this as just another piece of software, and it is in some ways, but in most ways it's not.

So it...

is not optimizing for weirdness.

It's recognizing weirdness.

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