AI Isn't Killing Jobs. It's Sorting Them.

Your personal gain from AI depends less on the technology itself and more on whether you work for or are connected to firms that invest heavily in AI, because those firms capture disproportionate leverage and pass along the benefits.

Early-stage adoption means initial effects mainly reshuffle jobs, since diffusion and second-order economic impacts haven't had time to change net employment, and later waves will alter that balance.

Hiring shows AI roles are already common outside core tech: more than half sit in other industries—21% in manufacturing plus sizable shares in finance, education, and healthcare—so practical high-return use cases are emerging across sectors.

A tiny slice of firms is pulling ahead because the top 1% spend roughly $7,449 per employee per month on AI versus $11.38 at the median, which creates a huge capability gap that sorts outcomes between high- and low-investment companies.

Think of AI as a leverage machine that amplifies differences in adoption and investment, so gains concentrate in certain firms and workers rather than creating or destroying many jobs overall.