AI is displacing workers in tech but may not repeat that pattern across Fortune 500, Box CEO argues—because most large companies lack the technical workforce and data infrastructure to implement AI at scale.

Box CEO Aaron Levie said on a16z's podcast that AI's disruptive impact in Silicon Valley stems from specific conditions there—engineers as workers, verifiable outputs, and tight feedback loops—that do not exist in most large enterprises, where workers are less technical, data is fragmented across legacy systems, and AI errors carry compliance and operational risks.

72% of enterprises have at least one AI workload in production as of Q1 2026, up from 55% in 2024—but only 28% describe their AI adoption as "mature," and just 38% of employees use generative AI daily even as 65% of enterprises claim to use gen AI regularly.

Salesforce launched "Headless 360" last month, making its platform—data, workflows, and business logic—accessible to AI agents without a browser or human UI, with CEO Marc Benioff stating "No browser required. Our API is the UI."

In tech, 17 of 28 companies that announced AI-related layoffs this year saw their stock prices rise on the announcement day; this dynamic has no analog in the broader Fortune 500, where AI-driven cuts remain rare enough to be newsworthy.