Ethan Mollick warns firms against locking into today's "good enough" AI

Ethan Mollick says on X that the gap between what AI can do and how much of it firms use keeps widening.

He argues that committing to a "good enough" solution based on current AI limits becomes more costly over time, and that firms need to position themselves to benefit from large lab investment in better models. This is a single post from Mollick, and no other reports or evidence are attached to it.