PayPal’s AI Pivot Targets $1.5B in Savings

PayPal has a new CEO and a blunt message: the company lost its way. Now it wants to get it back. And it is betting on AI to make that happen.
CEO Enrique Lores did not soften the language. On the Q1 earnings call, Lores told investors PayPal needs to “recommit to the fundamentals,” which includes “becoming a technology company again.”
However, Lores was also specific about what that means in practice. The plan includes modernising its tech platform, moving faster to become cloud-native, and “aggressively adopting AI in our development processes.”
In addition, industry analysts note that “becoming a technology company again” implies PayPal sees itself as having drifted from its technical roots. The company’s growth over the past decade came largely through market expansion and acquisitions rather than breakthrough innovation.
The PayPal AI technology company’s push has a dedicated structure behind it. Lores formed a new “AI transformation and simplification” team that reports directly to him. Its mandate is to drive AI adoption function by function, process by process.
As a result, savings will follow two paths. The AI-enabled processes, combined with planned layoffs, will generate at least $1.5 billion in cost savings over the next two to three years.
Meanwhile, AI adoption will move beyond coding into customer service, support operations, and risk management. Therefore, the transformation touches every part of the business, not just the engineering department.
The groundwork is already in place. In January 2026, PayPal acquired Cymbio, an AI-specialised company that expands PayPal’s capabilities in agentic AI.
However, the workforce changes are significant. Per Bloomberg, PayPal is targeting a workforce reduction of about 20%. Lores characterised this as removing layers from the organisational structure.
In addition, PayPal plans to reinvest the savings in its business and use AI to improve the speed and interoperability of its products.
Therefore, the PayPal AI technology company’s story is not simply about cutting costs. It is about a company trying to reconnect with an identity it believes it lost. Whether the AI bet delivers real innovation or just efficiency, the market will watch the next two years closely.






