Uber AI Strategy: Trading New Hires for AI Tools

Uber is paying for AI tools by hiring fewer people. Its CEO says AI creates “employees with superpowers,” agents already build about 10% of the code it commits, and AI processes almost all of its invoices. Uber spent its 2026 budget for AI coding tools in four months, and its operating chief says the link between that spending and new features “is not there yet.” Outside AI assistants bring it almost no business so far.

Uber has no separate AI strategy document. Its annual report treats AI mainly as a risk (2025 annual report), and its plans come from earnings calls. CEO Dara Khosrowshahi said in November 2026: “We’re using AI to make everyday transactions simpler and discovery more personalized,” adding: “Those direct consumer relationships are central to our approach to AI” (Q3 2026 call).

The focus has four parts.

• Customers and drivers: AI assistants for shopping, ordering food and drivers’ questions about earnings and where to work (Q1 2026 call)
• Outside AI assistants: Khosrowshahi counts eight outside AI assistants so far, expects more than 10, and says “every single AI system company is talking to us” (November 2026)
• Driverless cars: about 700 fully driverless vehicles on Uber by the end of 2026 and more than 2,000 by the end of 2027 (November 2026)
• AI work for others: Uber AI Solutions, launched in 2024, uses gig workers to label data and check AI outputs for clients such as Alphabet (Bloomberg via SIA, July 2026), and US drivers can take on data tasks between trips (PYMNTS, October 2025)

AI is paid for with slower hiring. Khosrowshahi said in May 2026: “It means that our investment in AI tools and infrastructure is increasing. That will be offset by slower head count growth.” CFO Balaji Krishnamurthy added that when Uber set its 2026 budgets, “we underestimated the amount of impact the AI tools could have” (Q1 2026 call).

Engineering went first, and spent fast.

• Adoption: use of Claude Code among Uber engineers rose from 32% in February 2026 to 84% in March (CFO Dive, citing Forbes), and an internal leaderboard ranked teams by AI use (Fortune)
• Output: about 10% of committed code is built by autonomous agents, and commits per engineer are rising (May 2026)
• Spend: Uber used up its 2026 budget for AI coding tools within four months. Chief operating officer Andrew Macdonald said the link between AI spending and new features “is not there yet” (Fortune, May 2026)
• Control: chief technology officer Praveen Neppalli Naga then treated “efficiency as an engineering problem rather than a budget problem.” Uber quadrupled the number of employees on frontier AI tools while the cost per token fell, and Naga called it “the end of the so-called tokenmaxxing era” (Fortune, August 2026)

Finance went furthest. More than 90% of Uber’s finance staff use AI tools routinely, and Uber has “basically democratized” access to AI across the company, according to finance director Tiho Nedkov. He warns that wider access also brings more output and “source-of-truth” problems (CFO Dive, May 2026).

The workforce still grew in 2025. Uber had about 34,000 employees at the end of 2025, up from about 31,100 a year earlier (2025 annual report), not counting drivers and couriers. The plan for 2026 is slower growth, not cuts.

Governance is published. Uber lists six AI principles, from accountable governance to privacy. An AI Law and Ethics Council of senior leaders oversees AI governance and strategy, an Office of Responsible AI co-chaired by Legal runs the program, and a fairness working group tests products for bias. An outside auditor, O’Neil Risk Consulting and Algorithmic Auditing, reviewed the structure (Uber).

AI fluency, coded against the Lead with AI Fluency Matrix (September 2026 edition):

• Fluency floor: Not published. Use is close to universal in engineering and finance, and Uber tracks it with leaderboards, but it has set no standard or training requirement for all employees.
• Highest level evidenced: Level 4 (Transforming), company-claimed. AI processes more than 96% of Uber’s invoices at more than 95% accuracy, and review of contracts for revenue recognition is fully automated (CFO Dive). Those are processes AI runs from start to finish, at scale, with a measured result.
• Portfolio design: Engineering-led and broad. Engineers and finance lead adoption, access is open to all, and spending is managed through engineering controls.

Uber measures AI use and process results, not total value. All figures below are company-claimed:

• Finance: more than 96% of invoices processed by AI at more than 95% accuracy, and the turnaround for multilingual regulatory notices about 70% faster (May 2026)
• Engineering: about 10% of committed code built by agents, with more commits per engineer (May 2026)
• Customers: early results show baskets built with Uber’s cart assistant are about twice the size of the average basket (November 2026)
• Outside AI agents: in the third quarter of 2026, outside AI agents brought about 500 Uber Eats orders and four rides. The CFO called it “very, very early and very limited traction” (November 2026)

The value is not yet proven. Uber gives no figure for what AI saves or earns, and its operating chief says spending has run ahead of results. Closing that gap is the step from AI adoption to AI value. The four rides from outside AI agents show the gap between chatting and agents in practice.

Next markers: headcount at the end of 2026, the share of code built by agents, the number of driverless vehicles on Uber, and whether Uber reports what its AI spending returns.

Change log

• 2024: Uber AI Solutions launches.
• October 2025: US drivers can take on AI data tasks between trips.
• March 2026: Claude Code use reaches 84% of engineers.
• May 2026: Uber says it will slow headcount growth to pay for AI tools, and that its 2026 AI coding budget is spent.
• August 2026: The CTO says AI costs fell as adoption rose.
• November 2026: Uber reports about 500 orders and four rides from outside AI agents and targets about 700 driverless vehicles by year-end.

• Disclosure: 3 of 4. Uber answers where it is going, where it will focus and what it will take, including an explicit trade of hiring for AI tools. How it will know is answered in part: it reports usage and process results, but no total value.
• Uber openly pays for AI with headcount, by slowing hiring rather than cutting jobs, one of the clearest cases in the index.
• Adoption moved fast and broke the budget, then engineering controls brought costs down.
• Finance shows the deepest change, with invoices and contract reviews run by AI.
• The say-do gap is value. Uber says AI gives employees superpowers, but its operating chief says the spending does not yet show up in new features.
• Watch outside AI agents. The test is whether AI assistants become a real channel for rides and orders, or stay at four rides a quarter.

What the numbers show: Revenue rose 63% from 2022 to 2025 and headcount 4%, so revenue per employee rose 57%, to about $1.53 million. Uber now says it will slow headcount growth to pay for AI tools, so the gap between revenue and headcount may widen. These figures do not show that AI caused any change.

Revenue, headcount and revenue per employee, FY2022 to FY2025

• FY2022: $31.88bn revenue, 32,800 employees, $972k per employee
• FY2023: $37.28bn revenue, 30,400 employees, $1.23M per employee
• FY2024: $43.98bn revenue, 31,100 employees, $1.41M per employee
• FY2025: $52.02bn revenue, 34,000 employees, $1.53M per employee

Change, FY2022 to FY2025: revenue up 63%, headcount up 4%, revenue per employee up 57%.

Notes: Revenue is as reported. Headcount is approximate, at year-end, and excludes drivers and couriers, whom Uber does not count as employees. In May 2026, Uber said it would slow headcount growth to pay for more AI tools.

These figures give context on scale and productivity. They do not show that AI caused any change. Sources: Uber 10-K filings.

What is Uber’s AI strategy?

Uber uses AI to make ordering and booking simpler, to run its marketplace, and to help its own staff work faster. It builds AI assistants for customers and drivers, works with outside AI assistants, is adding driverless cars to its network, and sells AI data work through Uber AI Solutions.

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Who leads AI at Uber?

Chief technology officer Praveen Neppalli Naga leads engineering, including Uber’s AI tools and their costs. An AI Law and Ethics Council of senior leaders oversees AI governance and strategy.

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Is Uber hiring fewer people because of AI?

Yes, by its own account. In May 2026, CEO Dara Khosrowshahi said Uber’s higher spending on AI tools would be offset by slower headcount growth. Uber has not announced AI-related job cuts.

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Why did Uber run out of its AI budget?

Uber encouraged engineers to use AI coding tools such as Claude Code and ranked teams by usage. Adoption rose so fast that the 2026 budget was used up within four months. Uber then reduced the cost per token through engineering controls.

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How much business do AI assistants bring Uber?

Very little so far. In the third quarter of 2026, outside AI agents brought about 500 Uber Eats orders and four rides, which Uber’s CFO called very early and very limited traction.

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How is this profile put together?

Lead with AI profiles use public sources only, such as annual reports, earnings materials, filings and on-record interviews, dated at the time of writing. AI fluency is coded against the Lead with AI Fluency Matrix. Company figures are marked as company-claimed unless they have been independently verified.