The AI Record

Organizations

Uber

Technology platform that powers rides, food and other delivery, and freight booking. Headquarters: San Francisco, United States. Ticker: NYSE: UBER.

43 passages, 18 people quoted. Topics: Does AI make developers more productive?, How do organizations measure AI's impact?, How much code does AI write?, How autonomous are the agents, and who checks their work?, What does AI cost organizations?, How much customer support does AI resolve?, Does AI change headcount and hiring?, How widely do employees use AI?, How is AI used in sales and marketing?, How do coding agents open and merge changes?, Where do agents run?, How is AI used in finance, legal and operations?, What does AI do across the whole company?, How do organizations train people to use AI?, How is AI used in code review?, Can AI fix bugs and handle incidents?, Do organizations build their own AI tools or buy them?, Can AI do large code migrations?.

About 10% of our codes now is committed. That committed is built by agents, autonomous agents out there. Obviously, we check the code before it gets committed.

Dara KhosrowshahiChief Executive Officer · Executive

Earnings call: Uber Q1 2026 earnings call transcript (FactSet CallStreet corrected transcript, hosted on Uber's investor site), Uber Q1 2026 earnings call transcript (FactSet CallStreet corrected transcript, hosted on Uber's investor site), May 6, 2026.

  • 10% ai code share, as of the Q1 2026 call. A person approves

Checked against the source [ Grade A ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Customer support is a clear area where we should be able to up the quality of our customer support interactions as well as reduce the cost of our effort there.

Balaji KrishnamurthyChief Financial Officer · Executive

Earnings call: earnings call transcript via Platform Aeronaut (third-party transcript site), earnings call transcript via Platform Aeronaut (third-party transcript site), August 5, 2026.

Checked against the source [ Grade A ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

our investment in AI tools and infrastructure is increasing. That will be offset by slower head count growth.

Dara KhosrowshahiChief Executive Officer · Executive

Earnings call: Uber Q1 2026 earnings call transcript (FactSet CallStreet corrected transcript, hosted on Uber's investor site), Uber Q1 2026 earnings call transcript (FactSet CallStreet corrected transcript, hosted on Uber's investor site), May 6, 2026.

Checked against the source [ Grade A ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

we're seeing uptake of these tools, whether it's our legal team or marketing team or developers. And we think it's creating employees with superpowers.

Dara KhosrowshahiChief Executive Officer · Executive

Earnings call: Uber Q1 2026 earnings call transcript (FactSet CallStreet corrected transcript, hosted on Uber's investor site), Uber Q1 2026 earnings call transcript (FactSet CallStreet corrected transcript, hosted on Uber's investor site), May 6, 2026.

Checked against the source [ Grade A ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Over the last year, all of the investments we made in agentic AI have led to more than seventy percent of our PRs now either by local or cloud agents.

Uday Kiran MedisettyDistinguished Engineer · Practitioner

Talk: Agentic SDLC at Uber: Building Blocks for Uber's Software Factory (talk, AI Engineer World's Fair 2026), AI Engineer (conference organizer) YouTube channel, August 21, 2026.

  • 70% agent pr share, as of the talk (published 2026-08-21). Level not stated

Checked against the source [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

And today at Uber, one in nine of our PRs is fully production ready with zero human authoring from our background agents.

Ty SmithPrincipal Engineer, AI & Developer Productivity · Practitioner

Social post: Engineering Enablement podcast by DX (DX sells developer-productivity measurement software); recording of Uber's talk at DX Annual, Engineering Enablement podcast by DX (DX sells developer-productivity measurement software); recording of Uber's talk at DX Annual, June 22, 2026.

  • 11.1% agent pr share, as of 2026-06-22. Level not stated

Checked against the source [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Our internal background coding agent went from <1% of all code changes to 8% in just a few months. There is zero human authoring. Engineers review and approve, but the code is written entirely by AI agents.

Praveen Neppalli NagaChief Technology Officer · Executive

Social post: X post on Praveen Neppalli's own account (Uber's CTO), X post on Praveen Neppalli's own account (Uber's CTO), March 16, 2026.

  • 8% agent pr share, as of 2026-03-16. A person approves

Checked against the source [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

a growing share of sessions aren’t initiated by humans, but by automated managed agents handling code review, self-healing CI failures, completing E2E PRs with visual validation, triaging on-call alerts, debugging incoming bugs, and handling a variety of code maintenance tasks with human reviews/escalations.

Uday Kiran MedisettyDistinguished Engineer · Practitioner

Post: Running a Software Factory Efficiently at Uber Scale, Uber engineering blog, August 27, 2026.

Checked against the source [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

if this is an autonomous diff coming from Minion, we want to give a human reviewer some confidence that this diff has gone through a lot of self-improvement already

Uday Kiran MedisettyDistinguished Engineer · Practitioner

Talk: Agentic SDLC at Uber: Building Blocks for Uber's Software Factory (talk, AI Engineer World's Fair 2026), AI Engineer (conference organizer) YouTube channel, August 21, 2026.

Checked against the source [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Today, 99% of our engineers use AI tools. More than 70% of pull requests are attributed to local or cloud agents. And our engineers have built 2,500+ agent skills across the software development lifecycle.

Praveen Neppalli NagaChief Technology Officer · Executive

Social post: X post on Praveen Neppalli's own account (Uber's CTO), X post on Praveen Neppalli's own account (Uber's CTO), July 7, 2026.

Checked against the source [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Early data shows that 70% of all our in house background agents, tasks which is Minions are toil.

Abhishek TibrewalSenior Data Scientist, Platform Engineering · Practitioner

Social post: Engineering Enablement podcast by DX (DX sells developer-productivity measurement software); recording of Uber's talk at DX Annual, Engineering Enablement podcast by DX (DX sells developer-productivity measurement software); recording of Uber's talk at DX Annual, June 22, 2026.

Checked against the source [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Back in 2024, we were seeing that engineers would get their first review within three hours. Now, in 2026, that has grown to nine hours, in addition to all of the volume changes. So in short, code review is now the bottleneck that we are running into.

Will BondStaff Engineer, AI Foundations team, Development Platform organization · Practitioner

Context. Will Bond is describing a metric Uber tracks, the time to a first review of a pull request.

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 01:05.

  • 3 hours first review time 2024, 2024
  • 9 hours first review time 2026, 2026

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

[uReview] does … around 25,000 comments a week, and we get 10% of them actually get some feedback … We also saw that the overall address rate was around 67%, and almost three quarters of the high severity issues were usually addressed by the developers

Ameya KetkarSpeaker, AI Engineer World's Fair 2026 (job title not stated) · Practitioner

Context. Ameya Ketkar is reporting results for uReview, Uber's code-review system. The address rate is how often a developer acts on a comment, as he defined it earlier in the talk.

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 10:13.

  • 25,000 comments ai review comments, per week. AI assists a person
  • 67% review comment address rate, as of the talk. AI assists a person

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

we saw that against like a very naive implementation, our costs were down by 60%, and our quality and our accuracy was up by around 70%.

Ameya KetkarSpeaker, AI Engineer World's Fair 2026 (job title not stated) · Practitioner

Context. Ameya Ketkar is summarizing the effect of the observability and evaluation work on uReview, Uber's code-review system.

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 10:50.

  • -60% ai review cost change, against a naive first implementation
  • 70% ai review quality change, against a naive first implementation

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Currently, we still have humans approving the code, but we see a short path in the near future to a percentage of our code landing automatically, having automatic approvals, right?

Will BondStaff Engineer, AI Foundations team, Development Platform organization · Practitioner

Context. Will Bond is describing where Uber expects code review to go as it moves to an agentic software development life cycle.

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 11:39.

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

One of the biggest learnings in this process was like the model doesn't know that it's wrong. It always confidently says 100% sure that, yeah, this is the review for your code. Go ahead. But we saw that, no, it actually needs a lot of guidance from the teams, because each team has its own style guide, its own patterns or … anti-patterns that they want to look for.

Ameya KetkarSpeaker, AI Engineer World's Fair 2026 (job title not stated) · Practitioner

Context. Ameya Ketkar is describing what Uber's team learned while adding observability and evaluation to its uReview code-review agent.

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 06:35.

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

One thing that we learned is that actually writing the skill was very easy, like teams just very quickly wrote a skill by asking Claude to write one, go over my previous PR reviews and write me a skill, but the hard part was how to run these skills at scale with consistent quality and low cost, and that required a lot of iterations, not only from the [uReview] team side, but also … for each team who was trying to write these rules.

Ameya KetkarSpeaker, AI Engineer World's Fair 2026 (job title not stated) · Practitioner

Context. Ameya Ketkar is describing how Uber's teams wrote their own code-review skills for uReview.

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 09:44.

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

But rather than killing the outer loop, I think that we believe and the industry has just started to really kind of coalesce on this idea that … really expanding the outer loop. Rather than removing humans from the code review process, we are moving their responsibilities up a layer.

Will BondStaff Engineer, AI Foundations team, Development Platform organization · Practitioner

Context. Will Bond is closing the talk on what happens to human reviewers as agents write and review more of the code.

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 13:43.

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Uber spent the time to invest in building an in-house solution due to some of the constraints that we have. One of those is we currently use [Phabricator] and have for a long time and are in the process of migrating to GitHub. Most of the solutions do not provide support for [Phabricator].

Will BondStaff Engineer, AI Foundations team, Development Platform organization · Practitioner

Talk: Building uReview, Uber's Multi-Agent Code Review Engine (talk, AI Engineer World's Fair 2026), AI Engineer (YouTube), August 28, 2026, at 01:22.

Not yet checked [ Grade B ] Said in the last year Uber: $52 billion revenue, FY2025 Passage page

Size and results

From the organization's filings and statements, for comparing it with its own past. Not compared with other organizations. Each figure links to its source; expand a row for the exact words.

MeasurePeriodValueSource
Employeesas of 2025-12-3134,000 peopleSEC filing (the company's own regulatory report) (grade A)
Exact words

“as of December 31, 2025, we and our subsidiaries had approximately 34,000 employees globally”

Employeesas of 2024-12-3131,100 peopleSEC filing (the company's own regulatory report) (grade A)
Exact words

“as of December 31, 2024, we and our subsidiaries had approximately 31,100 employees globally”

Employeesas of 2023-12-3130,400 peopleSEC filing (the company's own regulatory report) (grade A)
Exact words

“as of December 31, 2023, we and our subsidiaries had approximately 30,400 employees globally”

Employeesas of 2022-12-3132,800 peopleSEC filing (the company's own regulatory report) (grade A)
Exact words

“as of December 31, 2022, we and our subsidiaries had approximately 32,800 employees globally”

Engineersas of 2026-03-103,000 peopleThe Pragmatic Engineer (independent newsletter by Gergely Orosz) (grade D)
Exact words

“employs almost 3,000 people in the tech function”

'Almost 3,000' so 3000 is an upper bound. Uber's own talk says 'a few thousand engineers across twelve global tech sites' (AI Engineer talk, no number).

Operating incomeQ2 2026$1.9 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Income from operations 1,450 1,890”

Statement of operations in the Q2 2026 earnings release (8-K exhibit); columns three months ended June 30, 2025 then 2026. In millions, converted. Reported as "Income from operations".

Operating incomeQ2 2025$1.4 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Income from operations 1,450 1,890”

Statement of operations in the Q2 2026 earnings release (8-K exhibit); columns three months ended June 30, 2025 then 2026. In millions, converted. Reported as "Income from operations".

Operating incomeFY2025$5.6 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Income from operations 5,565”

FY2025 10-K; 2024 comparison column is 2,799. In millions, converted. Reported as "Income from operations".

Operating incomeFY2024$2.8 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Income from operations 2,799”

FY2024 10-K; the FY2023 comparison column is 1,110. In millions, converted. Reported as "Income from operations".

Operating incomeFY2023$1.1 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Income (loss) from operations (1,832) 1,110”

Results of operations table in the FY2023 10-K; columns 2022 then 2023. In millions, converted.

Operating incomeFY2022$-1.8 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Income (loss) from operations (1,832) 1,110”

Results of operations table in the FY2023 10-K; columns 2022 then 2023. In millions, converted; parentheses are a loss.

RevenueQ2 2026$14.2 billionSEC filing: earnings press release furnished on Form 8-K (the company's own regulatory report) (grade A)
Exact words

“Revenue grew 12% YoY to $14.2 billion, or 11% on a constant currency basis.”

Earnings press release (8-K Exhibit 99.1, 'Uber Announces Results for Second Quarter 2026'). The Q2 2026 10-Q statement of operations gives $14,191 million for the quarter.

RevenueQ2 2025$12.7 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Revenue $ 12,651 $ 14,191”

Statement of operations in the Q2 2026 earnings release (8-K exhibit); columns three months ended June 30, 2025 then 2026. In millions, converted. Quarterly.

RevenueFY2025$52 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Revenue was $52.0 billion, up 18% year-over-year”

Table in same filing gives $52,017 million

RevenueFY2024$44 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Revenue was $44.0 billion, up 18% year-over-year”

Same filing's table gives $43,978 million.

RevenueFY2023$37.3 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Revenue was $37.3 billion, up 17% year-over-year”

The FY2024 10-K table gives $37,281 million for 2023. Phrase confirmed by SEC full-text search in this FY2023 filing (the page itself was not read by the worker).

RevenueFY2022$31.9 billionSEC filing (the company's own regulatory report) (grade A)
Exact words

“Revenue was $31.9 billion, or up 83% year-over-year”

Results of Operations table in the same filing gives $31,877 million. Read via fetch tool; phrase confirmed by SEC full-text search in the same filing.