Jack Dorsey, CEO of Block, has issued a blunt warning that most companies are behind the AI curve and will soon face the same reality as his firm: that artificial intelligence is changing the very nature of work and business operations. His comments, made in the context of a major workforce overhaul, have intensified the global debate over whether AI is a significant tool for productivity or a harbinger of mass job displacement.

Block’s AI-Driven Overhaul

Block, the fintech company formerly known as Square, announced plans to cut over 4,000 jobs, nearly half its workforce, as part of a strategic shift to integrate AI into its operations. Dorsey described the move as a necessary step to adapt to the changing landscape of business, where AI tools are already enabling smaller teams to achieve more with greater efficiency.

“Intelligence tools have changed what it means to build and run a company. We’re already seeing it internally. A significantly smaller team using the tools can do more and do it better,” Dorsey said in a statement on Thursday. He added, “I don’t think we’re early to this realization. I think most companies are late.”

Dorsey’s comments have come as Block’s shares surged sharply on Friday, reflecting the growing market confidence in companies that treat AI not as an experiment but as a driver of structural change. Investors are increasingly rewarding firms that clearly articulate their AI strategies and their potential impact on productivity and profitability.

AI-Linked Job Cuts Accelerate

AI-linked job cuts have been rising globally since late 2023, with companies such as Amazon, Pinterest, and Australia’s Wisetech announcing over 61,000 layoffs tied to AI automation, according to a Reuters tally. Block is among the most high-profile firms to explicitly cite AI as the primary driver of its reductions, rather than a secondary efficiency gain.

Some investors argue that these cuts are partly correcting for years of overhiring in the tech sector. “AI is the new scapegoat,” said Brian Jacobsen, chief economic strategist at Annex Wealth Management. “Companies are using it as a justification for layoffs that might otherwise be unpopular.”

Still, the economic implications of AI’s rapid adoption are a growing concern, especially with an uncertain global economic backdrop. A widely circulated report by Citrini Research outlined a 2028 scenario in which unemployment could rise to 10.2%, driven by the displacement of workers in software, logistics, and delivery roles.

Corporate and Policy Responses

Businesses have been more cautious than Dorsey in discussing the impact of AI on jobs. Evidence is emerging, however, that firms are beginning to see returns on their AI investments. Morgan Stanley analysts reported a steady rise in the number of companies reporting quantifiable benefits from AI adoption, based on an analysis of over 10,000 earnings calls and fourth-quarter conference transcripts.

Some 21% of S&P 500 companies mentioned at least one measurable benefit from AI, up from 15% in the third quarter and 10% in the final quarter of 2024. The analysts estimate that greater AI use will boost companies’ profit margins by 40 basis points this year.

Despite these gains, executives and policymakers have been more guarded in their statements. ECB President Christine Lagarde told a committee of the European Parliament on Thursday that while productivity is increasing, there are no clear consequences in terms of labor market disruptions or waves of redundancies yet. “We will be extremely attentive going forward,” she said.

At the World Economic Forum last month, JPMorgan Chase CEO Jamie Dimon acknowledged that some jobs would disappear but argued that new ones would emerge. Bank of America global economists Claudio Irigoyen and Antonio Gabriel warned that AI could ultimately affect a quarter of all jobs, creating both challenges and opportunities for businesses and workers alike.

Michael Ashley Schulman, partner and CIO at Running Point Capital Advisors, raised concerns about the long-term implications of drastic workforce reductions like those at Block. “Dorsey’s strategy suggests that less is more and that human capital has lost its competitive edge,” he said. “The question is whether the company is resetting to its smaller, nimbler startup days or whether it might lose the creativity and human intuition that built its most iconic products in the first place.”

As the debate over AI’s role in the workforce continues to evolve, the coming months will be critical for both businesses and policymakers. The global economic impact of AI-driven automation is still unfolding, and the balance between productivity gains and job displacement will likely shape corporate strategies and regulatory frameworks in the years to come.