For years, legacy tech companies have wrestled with a version of the same problem: they built identity around a product category, and then the category moved on without them. Payments became infrastructure, infrastructure became commoditized, and what once felt like a platform started to feel like plumbing. The brand question that follows is always uncomfortable — what exactly are we now?
PayPal is answering that question publicly, and loudly. On its first-quarter earnings call, CEO Enrique Lores told investors the company needs to recommit to fundamentals, which he defined as becoming a technology company again. It is a candid acknowledgment that somewhere in the years since its 2021 peak, PayPal drifted away from that identity. The stock, which has fallen over 80% from that high, makes the drift hard to dispute.
Lores framed AI not as an add-on to existing operations but as the mechanism for a full structural reset. The company reported Q1 revenue of $8.4 billion, up 7% year-over-year, but issued weak guidance for Q2, sending the stock down after earnings. Against that backdrop, the AI pivot arrived with a concrete price tag: at least $1.5 billion in cost savings over the next two to three years, combining AI-enabled process redesign with the removal of organizational layers through layoffs.
Bloomberg reported that PayPal plans to cut around 20% of its workforce over that same two-to-three year window, equating to more than 4,500 jobs. Lores characterized those cuts not as retreat but as simplification, stripping out management layers to move faster. The two moves, mass workforce reduction and AI investment, are being presented as a single coherent plan rather than separate decisions.
A Tech Stack That Needs Rebuilding
Lores was specific about what becoming a technology company again actually requires. The company needs to move faster toward being cloud-native and to aggressively adopt AI in its development processes. Both are structural upgrades, not cosmetic ones. The admission that this work has not yet happened is significant for a company of PayPal's scale and age.
Late to AI-Assisted Coding
The earnings call framing drew attention partly because of what it revealed about where PayPal stands relative to peers. Spotify declared in February that its top developers had not written a line of code since December, citing AI tooling. Meanwhile, competing dev teams have been measuring AI engagement through token usage as a proxy for experimentation depth. PayPal's announcement of an AI-assisted coding push in May 2026 positions it as a follower in this particular race, not a setter of pace.
A Dedicated AI Transformation Team
To drive the shift internally, Lores said PayPal has formed a new group called the AI transformation and simplification team, reporting directly to him. The mandate is to work function by function and process by process, moving beyond pilots the company has already run and into full process redesign. Lores was explicit that the goal is not AI adoption as a technology exercise but a rethinking of how key operations are structured.
Scope Beyond Engineering
The AI agenda extends well past the coding environment. Executives named customer service, support operations, and risk management as areas targeted for AI integration. This breadth matters because it signals that PayPal is framing AI as an operational transformation rather than a developer productivity initiative. The savings target depends on that wider scope delivering results across multiple business functions.
A Three-Segment Restructure Running in Parallel
Alongside the AI push, PayPal announced a reorganization of its business into three segments: checkout solutions and PayPal, consumer financial services including Venmo, and payment services and crypto. The structural separation raised analyst questions about whether Venmo could eventually be sold. Lores deflected a direct answer, but signaled openness by stating his number one priority is to maximize shareholder value.
The market response to the Q1 results was mixed. Revenue beat expectations, but the weak Q2 guidance overshadowed it. The layoff announcement and AI pivot arrived into that environment, making it difficult to read investor sentiment on the strategy itself versus the near-term numbers.
Whether a company can rebrand as a technology company through a cost-cutting program is an open question. The structural moves are real: a dedicated AI team, a stated commitment to cloud-native infrastructure, and a specific savings target with a defined timeline. What remains to be seen is whether aggressively adopting AI in development processes translates into the kind of product differentiation that Lores described as what separates leading companies. If the process redesign delivers on the $1.5 billion target and the platform modernization accelerates shipping velocity, the identity claim may eventually carry more weight than it does today.