When AI Takes Half the Jobs, Where Are the New Ones?

From 10,000 to just under 6,000. That's the stark arithmetic behind Jack Dorsey's latest move at Block, his $33 billion payments company. But the number that should really grab your attention isn't the 4,000 jobs being cut—it's Dorsey's prediction that most companies will make "similar structural changes" within the next year.

We're not talking about a struggling legacy business trimming fat. This is a growth company, surging in after-hours trading, telling investors it's slashing nearly half its workforce because AI makes it possible. If this becomes the template, what happens to the millions whose jobs become "redundant"?

The Promise We Keep Hearing

"Don't worry, AI will create new jobs to replace the old ones." It's the standard response whenever automation anxiety surfaces. History supports this optimism—the Industrial Revolution, the computer age, even the internet boom all eventually generated more employment than they destroyed.

But as CNBC's Steve Sedgwick pointedly asked: "What are those jobs? Where are the mass of jobs for the millions whose roles are set to be made redundant?" The answer remains frustratingly vague: "Those jobs haven't been created yet."

Block's CFO Amrita Ahuja offered a glimpse of the new reality: "smaller, highly talented teams using AI to automate more work." Notice the emphasis on "highly talented." The future workforce isn't just smaller—it's more selective.

The Speed Mismatch Problem

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Here's where the math gets uncomfortable. Even if AI does create new categories of work, there's a critical timing issue. Block can eliminate 4,000 positions with a single announcement. Creating 4,000 new roles that displaced workers can actually fill? That takes years, not quarters.

The jobs that AI struggles to replace—creative strategy, complex negotiation, emotional intelligence, ethical judgment—require skills that can't be retrained overnight. Meanwhile, the "intelligence tools" Dorsey references are advancing at machine speed, not human learning speed.

Winners and Losers in the AI Transition

The beneficiaries are clear: Block's stock surged on news of the layoffs. Investors love efficiency gains and margin expansion. The "highly talented teams" that remain will likely see their value—and compensation—increase.

But what about the 4,000 who are "being asked to leave"? They're competing for fewer positions in a job market where more companies are discovering they can operate with skeleton crews powered by AI.

This isn't just a Block phenomenon. From customer service to content creation, from financial analysis to software debugging, AI is demonstrating competence in areas once considered safely human. The question isn't whether machines can do these jobs—they already are.

The Uncomfortable Truth About Job Creation

Perhaps we're asking the wrong question. Instead of "Will AI create new jobs?" maybe we should ask: "Will it create enough good jobs for everyone displaced?"

The historical precedent of technology creating more work than it destroys might not apply when the technology can think, learn, and adapt. Previous industrial revolutions automated physical labor and routine cognitive tasks. AI is targeting higher-order thinking itself.