The case for AI widening the gap between experts and everyone else

a16z shared remarks from Box's Aaron Levie and Grepr AI's Jad Naous arguing that AI rewards expertise. Levie says specialists are better equipped to judge AI output and advises college students to get good at a field. Naous says the gap between okay and great engineers on his team multiplied “10X” as some adapted and learned while others did not, and that their distributed-systems work still demands human understanding of complexity.