10/14/2026
AI came up with better-rated product ideas than MBA students. Then it started repeating itself.
Researchers at Wharton, Cornell and WHU (Terwiesch, Mollick and colleagues, accepted July 2026) compared 200 student ideas for products under $50 with 200 from GPT-4. Raters' purchase intent averaged 40% for the humans and 46 to 49% for AI. Of the top 10% of ideas, only 5 were human.
But the humans' ideas were slightly more novel, and AI ideas were more alike across all 32 comparisons in their meta-analysis. A thousand AI ideas still left corners of the idea space untouched.
What helped? Random personas, built-in constraints, and letting a human choose the problem while AI generates the solutions.
Caveat: one market (college students), GPT-4-era models, and ideas judged as text.
My read: AI is a fast, tireless generator. Diversity, and deciding which problem matters, is still a human design choice. The next frontier of creative work may be asking better, stranger questions.
What constraint could you hand your team, or your AI, tomorrow to get stranger ideas?