Big companies are hiring again, reversing AI-driven layoff narrative

Big Companies Are Hiring Again, Reversing AI-Layoff Narrative

The past year's dominant CEO script—announcing layoffs while crediting AI—is collapsing into a messier reality. Major companies including CSX, Alphabet, ServiceNow, Snap, and Booz Allen Hamilton are now openly signaling plans to expand hiring, particularly in roles where employees can leverage AI to become more productive. The Wall Street Journal recently reported on the shift, and it reflects a more grounded understanding of what AI can actually do.

The initial narrative was a convenient cover. Many companies blamed AI while announcing cuts, but the real story was simpler: over-hiring, slower revenue growth, or both. The New York Stock Exchange's new CEO was refreshingly direct about this, and that honesty has become increasingly rare.

What's actually happening is closer to Jevons Paradox—when a technology improves efficiency, total demand often rises enough that employment actually increases, not decreases. AI lab leaders who predicted massive job losses are now observing productivity gains and gradual capability diffusion, not wholesale worker replacement. In most scenarios, AI doesn't drop in as a coworker substitute yet.

The hiring rebound carries real complexity. Some companies are genuinely hiring more because AI makes their teams more productive. Others are being tactical: once a firm reaches 10,000 or 20,000 employees, it may decide that size is right but the bottom performing tier isn't. Those companies lay off and rehire selectively for better skill fit—which may look like layoffs-driven-by-AI but is really about workforce optimization.

Sarah Franklin, CEO of HR platform Lattice, notes that many companies initially assumed AI agents could replace entry-level workers. That assumption is dissolving. Just because you have coding agents doesn't mean you stop hiring engineers. Lattice is seeing renewed hiring among customers, including for junior roles. Robert Half's CEO Keith Waddle echoes the shift: AI's effect on employment has been more benign than feared, and hiring demand continues to improve.

The labor market data is murkier than headlines suggest. Job postings are up sharply, but actual hiring hasn't matched the volume. The gap may reflect companies treating job postings as low-cost inventory—post five roles per team "just in case someone incredible walks in the door"—rather than genuine near-term demand. Used to be a competitive flex to advertise 2,000 applicants per opening. Now it signals something closer to posting inertia.

Where the debate sharpens: Bryce Roberts shared a text claiming a company isn't hiring much because "AI backfilling most roles." If someone quits, the company asks remaining staff to do more with AI assistance rather than hire. Matthew Prince at Cloudflare rejects that strategy. His argument: hire new graduates and plug them into legacy teams to accelerate AI adoption. Cloudflare itself hired roughly 1,000 people recently, betting that the combination of junior talent plus AI tools compounds productivity faster than cost-cutting alone.

The takeaway from actual hiring patterns suggests most thriving companies want more people, not fewer. Stagnation looks like a text message about backfilling. Growth looks like Cloudflare hiring four-digit headcount in a single cycle.