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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The bigger question you're asking, I think, is an interesting one, which is, how does it figure out the context in which to operate?

Because I'm a business professor, business school professor.

And we know that a huge amount of the context in which people work in is never written down anywhere.

Forget documentation.

It's all implicit.

You understand what people are rewarded for and what they're punished for.

In some organizations, getting the hardest job is a reward.

In some cases, it's punishment.

It tells you a lot about an organization, but no one's going to spell that out anywhere, right?

Should you be friends with people at work?

Should you not be?

All these little choices are important choices in organizations, and they're not specified.

That said, the AI for work stuff tends to be pretty good at picking out context once it has enough information.

So if it has the history of a project, it often does a lot better than if it just has instructions for how to execute the project.

Some of this will also be people making decisions.

We'll need to document things we didn't document before.

Another set of stuff is just starting from scratch.

It's not clear that you want to translate processes that exist in a human organization and just have the AI implement those things ad hoc.

I think there's a lot of tension across this whole boundary here.

I think people are underestimating how much the agents can step in from context to understand what's going on.

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