I read the memo while a driver outside my building waited for a ping that never came. You could feel the tension—people trying to reconcile glowing financials with sudden pink slips. I kept asking myself whether this was about AI, excess managers, or something else entirely.
On a Wednesday morning, I opened Dara Khosrowshahi’s memo and felt the room tilt.
You get the headline quickly: Uber is cutting roughly 10% of its workforce, about 3,300 employees, concentrated mainly in middle management. The language is familiar to anyone who follows Silicon Valley: “removing layers,” “simplifying team structures,” and reallocating headcount toward drivers, couriers and merchants.
Those financials complicate the story. Uber reported quarterly revenue of $14.2 billion (€13.2 billion) and net income of $2.4 billion (€2.2 billion)—healthy numbers that make the cut feel less like a survival move and more like a surgical reshaping.
Why is Uber cutting jobs?
The public answer is efficiency: too many management layers, too many tiny teams and fragmented ownership slowing decisions. Internally, the narrative is also about freeing capital and headcount for strategic bets—most notably robotaxis and investments in drivers and couriers. The memo promises fewer layers below the CEO and a nearly 50% reduction in “micro-teams” with one or two direct reports.
At a driver hub in Atlanta, conversations shifted from fares to automation.
Uber faces an external pressure that’s easy to miss behind corporate slides: the rise of fully autonomous alternatives. Alphabet’s Waymo is now offering driverless rides in 14 U.S. cities, and in Atlanta some drivers report fewer ride requests and longer gaps between fares since Waymo’s launch.
This isn’t theoretical competition. Uber is spending billions and has said it will invest more than $10 billion (€9.3 billion) to “bring AVs to market at scale,” while partnering with Lucid, Nuro and Rivian to build a robotaxi fleet. The company’s future looks split between human drivers and a machine fleet that could erode demand for hourly gig work—and change where Uber puts its teams and dollars.
Is AI replacing jobs at Uber?
Short answer: not wholesale, but AI is a major factor. Bloomberg reported that Uber capped spending on some AI tools after exceeding its annual AI budget in months. Khosrowshahi has said roughly 10% of Uber’s code is now created by AI agents, and departments from legal to marketing are experimenting with tools like Claude and open models based on GPT architectures.
That shift lets companies operate with fewer human hands on the wheel—Block’s Jack Dorsey explicitly cited intelligence tools as a reason it could flatten teams earlier this year—and gives leaders a credible resource argument for pruning headcount and reorganizing.
In product meetings the org chart was circled in red and people started asking hard questions.
Uber will cut the number of employees sitting seven or more layers below the CEO by about 20%. The goal is speed: fewer approvals, clearer ownership, faster launches. I’ve watched similar memos before; the rhetoric sounds like a steering wheel turn, but the reality on the ground feels like a pressure cooker.
The memo leans on momentum language—simpler, faster, focused investments—and borrows the executive playbook we’ve seen at Amazon and Meta. But the human cost lands on middle managers, project leads and teams that coordinated across products. For those people, the math of efficiency is immediate and personal.
How many employees is Uber laying off?
About 3,300 employees, or roughly 10% of the workforce, with the biggest hits in middle-management layers and in tiny “micro-teams.” The company says these cuts will free capacity to invest in drivers, couriers, merchants and autonomous vehicle efforts.
I’ve been reporting on tech reorganizations long enough to recognize the familiar contours: a fast-growing company, muddled ownership, and a leader who wants to sprint. The org chart now reads like a chessboard—pieces being moved to prepare for a different kind of game.
If you’re watching this as an investor, a driver, or someone whose job sits in the middle, the memo asks a straightforward question: will fewer managers and more AI speed up the product cycle and preserve growth, or will it hollow out institutional knowledge and create new bottlenecks? Which side do you think will win?