Post by Samson Abanni (@Abanni)

Bill Gurley’s core thesis is that AI has compressed the innovation cycle to a point where traditional career hedging is a liability. Technically, the barrier to entry for building sophisticated software has collapsed due to Large Language Models (LLMs) and automated coding agents. This shift moves value away from "knowing how to code" toward "knowing what to build." The policy fact is that market equilibrium now favors aggressive experimentation

0 likes · 0 comments · 0 shares