The Week AI Job Cuts Stopped Being Theoretical

It was the doomsday scenario many white-collar workers had feared but hoped would never come: an S&P 500 company announcing it would cut nearly half its workforce. The reason given? Artificial intelligence.

When Block CEO Jack Dorsey revealed that his financial-technology firm was laying off 4,000 people to “embed AI” throughout the organization, the announcement sent shockwaves through corporate America. The blowback was immediate and severe—text threads between workers erupted, executives began furiously dissecting the move, and then, they went public with their own warnings.

“Square is just the beginning.” — Clara Shih, former Meta and Salesforce executive

A $40 Billion Market Reaction

The market response to Dorsey’s announcement was swift and brutal. Block’s stock initially tumbled as investors grappled with the implications, while angst over AI’s potential for job disruption spread across the S&P 500. The selloff wasn’t just about Block—it was about what this move represented for the broader economy.

AI-linked job cuts have now exceeded 61,000 globally since November, according to a Reuters tally. But Block’s cuts were different in scale and explicit justification. This wasn’t about restructuring or cost-cutting in the traditional sense—it was a bet that AI could replace human workers at a scale previously considered theoretical.

The executive response has been telling. Amazon CEO Andy Jassy didn’t mince words in a television interview Friday: “A lot of the jobs that we’ve thrown human beings at the last 20 or 30 years, you won’t need as many human beings doing those same jobs.” While Jassy noted that new roles will also be created, his candor about the displacement was striking.

“Everyone will point the finger at everyone else.” — Brian Norgard, investor

The Regulatory Landscape Shifts

As companies rush to implement AI-driven efficiency measures, governments are scrambling to establish guardrails. Vietnam became the first country in Southeast Asia to implement a comprehensive AI law on Sunday, joining a growing list of nations trying to balance innovation with worker protection.

The European Union remains the most aggressive regulator, having adopted what it calls “the world’s first comprehensive AI law” in 2024. The legislation takes a risk-based approach: high-risk AI systems face strict obligations before being authorized in the EU. However, the law has faced pushback from Washington under President Donald Trump, with businesses complaining it could hamper growth.

The United States has taken a markedly different approach. Vice President JD Vance has warned against “excessive regulation” that “could kill a transformative sector.” At a major AI summit in New Delhi in February, the US delegation head said the country “totally” rejects global governance of AI. Some states, like California, have enacted their own safeguards—requiring AI chatbot operators to implement suicide prevention referrals—but federal action remains unlikely.

Asia’s mixed response reflects the region’s diverse priorities. South Korea’s wide-ranging law, which took full effect in January, requires companies to tell users when products use generative AI and clearly label deepfakes. Taiwan and Japan are taking a lighter touch, favoring voluntary guidelines over penalties. China, racing to challenge US dominance, has complex guardrails including mandatory government registration of AI models.

What Comes Next

The coming months will reveal whether Block’s move is an outlier or a template. Industry observers are watching closely to see if other S&P 500 companies follow suit with their own AI-driven restructuring announcements. The question isn’t whether AI will transform the workforce—it’s how quickly and at what scale.

For workers, the implications are profound. The jobs most at risk aren’t just routine manual labor—they’re white-collar positions that involve data analysis, content creation, and customer service. The same technology that promised to augment human capabilities is increasingly being deployed to replace them.

The debate over AI regulation, meanwhile, is likely to intensify. As 91 countries and organizations called for “secure, trustworthy and robust” AI at the New Delhi summit, AI safety campaigners criticized the resulting declaration as too generic to protect the public. A 40-member United Nations expert panel has been established to work toward “science-led governance” of the technology.

For now, one thing is clear: the theoretical discussions about AI’s impact on employment have given way to concrete reality. Block has made its move. The rest of corporate America is watching to see what happens next—and whether their own workforces are next in line.

This article was reported by the ArtificialDaily editorial team. For more information, visit The Wall Street Journal and Reuters.