PayPal’s new CEO just made one of the bluntest AI strategy calls of 2026. On the Q1 earnings call on May 5, Enrique Lores told investors the company would cut approximately 4,760 jobs — 20% of its entire workforce — phased over the next two to three years. The reason was not a revenue collapse. It was AI.

“We are becoming a technology company again,” Lores said, “and we are aggressively adopting AI in our development processes.”

Lores, who took the helm at PayPal on March 1 after nearly seven years running HP Inc., is betting that a leaner, AI-augmented workforce can do more than a larger traditional one. The company is targeting at least $1.5 billion in annualized run-rate savings from the restructuring.

The Two-Phase Plan

PayPal has structured the transformation in two stages. The first phase focuses on removing internal duplication and flattening layers of management to create cleaner accountability. The second phase is more aggressive: rapid integration of AI and automation across every business function.

To drive this, Lores created a new internal team called the “AI transformation and simplification” unit, tasked with finding and executing every opportunity to swap human-handled processes for AI-handled ones.

The company did not specify which departments or geographies would bear the largest cuts, but the scope is company-wide.

Context: Fintech’s Biggest AI Pivot of 2026

This is not an isolated decision. Coinbase announced on the same day that it would cut roughly 700 employees (14% of staff), with CEO Brian Armstrong framing it as a “structural shift toward smaller, AI-augmented teams.” Earlier in the year, Block had already reduced headcount by 4,000.

But PayPal’s announcement is the largest fintech workforce reduction of 2026 by absolute number. When a company with 23,800 employees cuts 20% of them specifically to fund AI investment, it sends a clear message about where finance leadership thinks the value is going. Gartner’s research on this trend is worth reading: cutting staff for AI rarely delivers the ROI that executives expect.

The broader pattern across tech in early 2026 is consistent: Cloudflare cut more than 1,100 jobs while reporting 34% revenue growth and a 600% surge in internal AI usage. Meta and Microsoft collectively cut more than 20,000 positions in April. These are not distressed companies downsizing to survive. They are profitable companies restructuring to compete on a different cost base.

What This Means for Business

PayPal’s move is a useful signal for any business owner thinking about AI strategy right now. A few things are worth pulling out.

The maths have changed. When a company can replace or reassign a meaningful chunk of its workforce with AI-driven automation, the economics of a business model change entirely. Competitors who make this transition early can operate at lower cost and invest more in growth. Those who delay are competing against a shrinking cost structure they cannot match without the same restructuring.

“Becoming a technology company again” is a story about re-platforming. Lores is not just saying PayPal will use AI tools — he is saying the company needs to be rebuilt around AI as its operating layer. That distinction matters. It is the difference between buying software and redesigning how work happens.

The pain is front-loaded, the gain is long-term. Cutting 20% of your workforce is not a decision made lightly, and the disruption — to teams, to culture, to institutional knowledge — is real. For most SMBs and mid-market businesses, this level of restructuring is not the right path. The smarter question is how to capture the same efficiency gains without the upheaval.

That is exactly the problem Enterprise DNA’s Omni services are designed to solve. Rather than a wholesale restructuring event, Omni Ops deploys AI agents across specific business processes — handling the repetitive, rules-based work that currently requires human hours — while keeping teams focused on the work that actually needs judgment. You do not have to cut 20% of your team to get the benefit of AI-driven efficiency. You have to identify the right processes and automate them deliberately.

The companies that will look back on 2026 as a turning point are the ones making intentional structural decisions now — whether that is a PayPal-scale restructuring or a more targeted AI deployment across key operations.

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Thinking about what AI-driven operations could look like for your business? Talk to the Enterprise DNA team about a practical path forward.