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Uber Cuts 3,300 Jobs. The Memo Names Layers, Not AI.

Uber's 3,300-job cut comes with a memo that counts layers and micro-teams and never says AI. What it measured, what it skipped, and why 1% remote follows.

Uber Cuts 3,300 Jobs. The Memo Names Layers, Not AI.
Image via OpenAI gpt-image-2

Note: This post was written by Claude Fable 5.1. The following is a synthesis of Uber’s memo and filings and reporting from major news organizations.

Uber told its employees on Wednesday that it is cutting about 10% of its workforce, roughly 3,300 jobs, its largest reduction since May 2020. What sets the memo from CEO Dara Khosrowshahi apart is what it counts. It never mentions artificial intelligence. It reports two structural numbers instead: Uber has reduced the population sitting seven or more layers below the CEO by 20%, and cut the number of “micro-teams” of one or two reports by nearly half.

What the memo cut

Khosrowshahi’s diagnosis is coordination. “In Pulse surveys and conversations with many of you, we’ve heard that too much work requires coordination across teams, debates take too long, and decision-making rights are unclear,” he wrote. Uber “reduced roles primarily focused on coordination,” broadened manager scopes to remove layers, and merged teams “where fragmentation was creating duplication and slowing decisions.” The biggest merger folds three Delivery operations teams, for restaurants, retail, and direct deliveries, into single-threaded teams at the global, regional, and country levels, a decision the memo credits to chief operating officer Andrew Macdonald. “The outcome is a simpler org chart geared toward building versus managing,” Khosrowshahi wrote.

The location half is just as blunt. Global teams will concentrate in New York and San Francisco, with regional, country, and tech hubs beneath them. “We are also asking the vast majority of remote employees to move to an office, and going forward, only ~1% of employees will be remote,” the memo says, and the three-day hybrid policy will be enforced. Uber is also leaving Nigeria and Uganda, a decision it called “limited strictly to these two markets.”

A cut from strength

This is not a company in retreat. Second-quarter revenue rose 12% to $14.2 billion, gross bookings grew 24% to $58 billion, and net income was $2.4 billion, including a $1.6 billion pre-tax gain from revaluing equity stakes. Khosrowshahi raised the question himself: “Why, and why now?—particularly since our business is performing so well.” His answer is that revenue nearly tripled over five-plus years and the structure did not keep pace. The headcount record supports him better than an overhiring story would. Uber ended 2021 with about 29,300 employees and 2025 with about 34,000, a 16% increase over four years in which revenue went from $17.5 billion to $52 billion. The cut takes the company back toward its 2021 size, with three times the revenue.

The savings have a destination. Uber has pledged more than $10 billion to autonomous vehicles, and on the same Wednesday, Delivery Hero’s boards recommended that shareholders accept Uber’s $14.8 billion takeover offer. The stock closed up 1.6% at $76.45.

The word the memo leaves out

AI appears nowhere in the memo, though Uber has spent the year talking about it. In June, Khosrowshahi said the company “blew through our AI budget in a quarter, for the whole year essentially,” and that “we are going to meter headcount increases.” On the August 5 earnings call, CFO Balaji Krishnamurthy reported “near 100% adoption with our engineers on AI-based coding tools” and “a doubling in the code output per engineer,” and said the gains allow “moderating some of the headcount additions.” July’s cut of about 10% of Community Operations, the customer-support group, cited AI directly: “We cannot scale frontier technology on top of fragmented processes,” said Megha Yethadka, the vice president who runs it. A June cut of 23% of the People and Places group was, Uber said, unrelated to AI.

The honest reading is narrower than the headlines. Uber is not saying AI replaced 3,300 people. It is saying AI let it stop adding people, and that the layers built during the growth years are now in the way. Block’s Jack Dorsey made the same argument in February when he cut roughly 4,000 jobs and credited “intelligence tools” paired with “smaller and flatter teams.” Google said last year that it had eliminated 35% of managers overseeing fewer than three people, Amazon set a 2024 target of 15% more individual contributors per manager, and Coinbase adopted a “no pure managers” rule this spring. Gartner predicted in 2024 that one organization in five would use AI to flatten its structure by the end of 2026.

What the memo measured, and what it did not

Uber’s memo is unusual in publishing its own diagnostics. Three of them carry the argument.

  • Layers from the top. Uber counted how many people sit seven or more levels below the CEO and cut that population by a fifth. The figure is a proxy for how far a decision travels before someone is allowed to make it.
  • Micro-teams. Managers with one or two reports were nearly halved by widening manager scopes. The memo treats those teams as a byproduct of growth, structures that “made sense when businesses were smaller,” rather than anything the company designed.
  • Coordination roles. This is the count the memo does not give. It says Uber “reduced roles primarily focused on coordination” and “clarified the remit of the coordination roles that remain,” without saying how many went. The mergers announced alongside the cuts are the other half of that answer: three Delivery P&Ls under single owners means fewer seams to coordinate across, and fewer people whose job was the seam.

One percent remote is not a hybrid policy. It is a hiring-pool decision, and it arrives sixteen months after Uber’s move from two office days to three set off a heated all-hands at which Khosrowshahi answered a sabbatical complaint with “it is what it is.” Both halves of the memo rest on the same premise, that “the benefits of sitting together, collaborating in person, and solving problems as a team are clearer than ever,” which makes the location rules the layers argument applied to geography.

Sources