As AI tools grow more accessible, organizations discover the hardest obstacle to transformation is not deploying the technology — it is getting people to change how they work and think. Cultural resistance, fear of displacement, and entrenched workflows block adoption far more reliably than any capability gap. Solving AI transformation is therefore fundamentally a leadership and change-management challenge, not an engineering one.
Wharton School professor Ethan Mollick, in his latest article "The Shape of the Thing," sketches out a clear picture of the current state of AI technological…
University of Pennsylvania Wharton School professor Ethan Mollick, in his latest article, explores the far-reaching changes brought about by AI Agents…
In this article, University of Pennsylvania Wharton School professor Ethan Mollick explores the common challenges enterprises face when adopting generative AI…