Ethan Mollick Says AI Could Challenge Incentives That Favor Predictable Research

Ethan Mollick argued that AI could force scientists to rethink how research is done because it does not face the same constraints that steer academics toward predictable work. He said academics invest tremendous effort in a single paper, encouraging them to choose projects they expect to produce interesting and significant results. In his view, that incentive also makes their research more predictable, while AI faces no such constraints.

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There is not enough continuous observation data to plot a trend yet.