Ethan Mollick on Learning and the Missing AI Playbook

Ethan Mollick says developing expertise requires mentorship and increasingly challenging work, while leaders are still figuring out how to use AI.

EMEthan MollickPonente · Wharton School
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Sana
Publicado
8 jul 2026
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0:30
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1 min
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inglés
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RESUMEN

En 30 segundos

Ethan Mollick says developing expertise requires mentorship and increasingly challenging work, while leaders are still figuring out how to use AI.

  1. 1No settled playbookMollick says even leaders and AI labs are still figuring out the technology.
  2. 2Learning through practiceHe says expertise requires mentorship and tackling progressively harder tasks, including failure.
  3. 3Choices about AIHe argues that people’s choices about using AI, rather than the technology alone, determine whether those experiences are bypassed.
  4. 4Beware certaintyHe cautions against anyone claiming there is already a definitive AI playbook.

Conclusiones

  1. Mollick says even leaders and AI labs are still figuring out the technology.
  2. He says expertise requires mentorship and tackling progressively harder tasks, including failure.
  3. He argues that people’s choices about using AI, rather than the technology alone, determine whether those experiences are bypassed.
  4. He cautions against anyone claiming there is already a definitive AI playbook.
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Ethan Mollick on Learning and the Missing AI Playbook

Ethan Mollick says developing expertise requires mentorship and increasingly challenging work, while leaders are still figuring out how to use AI.

Mollick says even leaders and AI labs are still figuring out the technology.

He says expertise requires mentorship and tackling progressively harder tasks, including failure.

He argues that people’s choices about using AI, rather than the technology alone, determine whether those experiences are bypassed.

He cautions against anyone claiming there is already a definitive AI playbook.

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