Ethan Mollick's latest article contrasts two views of how organizations function and how AI might integrate with them. The "Garbage Can Model" describes organizations as chaotic systems where decisions arise from random collisions of problems and solutions, making traditional automation difficult. Conversely, the "Bitter Lesson" from AI research suggests that brute-force computation and learning, rather than human-designed rules, are more effective for solving complex problems. Mollick argues that AI adoption in enterprises will likely require mapping existing messy processes and building tailored tools, a slow but potentially effective approach. AI
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RANK_REASON This is an opinion piece by a credible voice (Ethan Mollick) discussing organizational theory and AI adoption.
