Ethan Mollick: AI Models Solve Real Problems, Shouldn't Be Rejected Due to Polarization
emollick · x · 2026-08-23
Ethan Mollick notes that amidst current AI polarization, one fact is being overlooked: today's AI models are truly capable of solving very hard, real-world problems. He worries that the groups most trying to help people with these problems are often the ones most reflexively rejecting AI. Citing financial literacy as an example, he points out that research shows AI tools are good at giving financial advice, which is a significant development for the many people who unknowingly end up in bad financial situations.
Related event: Ethan Mollick: Consumer AI Is Underrated(4 posts)→
More from AGI Musings
- Polymarket odds: Only 10% chance US enacts AI safety bill by end of 2026 — Polymarket · 2026-10-16
- Intelligence is proportional to data: reorder tasks by data volume and the jagged frontier becomes a spiral — sebkrier · 2026-10-16
- "Vibecoding" is as misleading a label as "AI" and "SI," dev complains — eschadiol · 2026-10-16
- Reviewer will decline papers largely written by AI, citing author effort — IanArawjo · 2026-10-16
- AI-written cold emails hit a wall: Pragmatic Engineer's reply gets templated AI response — marktenenholtz · 2026-10-16
- Ben Bajarin: Enterprise Agentic Adoption Is Infant-Stage, Spend Could Top $1T a Year — BenBajarin · 2026-10-16