When AI breaks the model: Rethinking work, value, and advantage

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AI is no longer about experimentation or “toy” use cases. It has crossed into real work—and that shift is forcing leaders to rethink how decisions are made, how value is created, and what good work actually looks like.

In the first episode of the Unmodeled Briefing video series, we sit down with Ethan Mollick, Wharton professor and author of Co-Intelligence, to explore why AI transformation is less about tools and more about leadership, management, and incentives. From AI “work slop” to organizational fear, we examine what separates surface-level adoption from true competitive advantage in an AI-native world.

Unmodeled Briefing- Episode 1

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In the first episode of the Unmodeled Briefing series, Vikas talks with Wharton professor and Co-Intelligence author, Ethan Mollick, about why AI transformation is less about tools and more about leadership and incentives, exploring “work slop,” organizational fear, and what drives advantage in an AI-native world.

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Vikas Agarwal

Chief Technology & Innovation Officer, PwC Advisory, PwC US

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