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STRATUSWORKFORCE SCAN

Uber Technologies, Inc. (UBER)

Ride and delivery platform, drivers not employees. Read October 2, 2026 from the annual report for the period ending December 31, 2025, filed February 13, 2026. Ranked 12 of the 48 Technology companies read so far, by the share within reach now.

Within reach now

29%

End of 2028

67%

Employees, annual report

34,000

Leading staffing pattern

Software Publishers

Share of the working time within reach, long-run pace, four times in five

  • Now29%
  • End of 202755%
  • End of 202867%
  • End of 203072%

What changes for its people by the end of 2028, by its industries' figures

  • Stays with people 28%
  • Becomes checking a model's work 55%
  • Handed over with lighter checks 11%

The filing states approximately 34,000 employees, 20,300 outside the United States, running a platform whose drivers and couriers are independent, so the patterns follow the description of the employees' work (c).

The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.

What follows from the reading

Share of working time within reach of AI, on the long-run pace at four in five: 29% now, 55% at the end of 2027, 67% at the end of 2028, 72% at the end of 2030. By the patterns, the work is about 72% desk work, 24% people work and 4% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 28% of the working time stays with people (conversation, in-person and hands-on work), 55% becomes checking a model's work and 11% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

34,000 employees as of December 31, 2025 (stated). Approximately 20,300 of 34,000 employees are located outside the United States.

The filing: “Human Capital at Uber Employees We are a global company and as of December 31, 2025, we and our subsidiaries had approximately 34,000 employees globally and operations in over 70 countries and more than 15,000 cities around the world.”

The workforce as industry patterns

PatternShareReason, from the filing
Software Publishers80%A technology platform run by management, operations and engineering staff, the filing's own description (the industry hint is application software), read at software publishers; no count by function, so by description (c).
Business Support Services20%Community operations and support for drivers, couriers, merchants and consumers in over 15,000 cities, contact center work (NAICS 5614); by description (c).

What the filing says about the workforce: Approximately 34,000 employees in over 70 countries, 20,300 outside the United States; drivers and couriers earn income on the platform as independent workers and are not employees, as the filing states.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Software Publishers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

What the filing says about AI

17 sentences in the filing name AI. The filing names its growing use of artificial intelligence and machine learning as a source of risk (algorithm development, data sets, regulation) and AI-enabled platforms and digital assistants as a possible way consumers reach rides and deliveries without it.

Its annual reports, year by year

Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector

Headcount by filing year

As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.

PeriodEmployeesFiledFiling
2025-12-3134,0002026-02-1310-K
2024-12-3131,1002025-02-1410-K
2023-12-3130,4002024-02-1510-K
2022-12-3132,8002023-02-2110-K
2021-12-3129,3002022-02-2410-K
2020-12-3122,8002021-03-0110-K
2019-12-3126,9002020-03-0210-K

Limits of this reading

Source: the company's annual report on EDGAR, accession 0001543151-26-000015, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.

Questions about this company

How much of Uber Technologies, Inc.'s working time is within reach of AI?
An estimated 29% now and 67% by the end of 2028, on METR's long-run pace at four in five, from the workforce Uber Technologies, Inc.'s own annual report describes and BLS staffing patterns for its industries, never from a roster. It is an estimate with a stated method. It is not a forecast of jobs lost or of savings, and it says nothing about what the company will do.
How many people does Uber Technologies, Inc. employ?
34,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states. About 40% in the U.S.
What kinds of work make up Uber Technologies, Inc.'s workforce?
Read from its annual report as a blend of 2 industry staffing patterns, the largest Software Publishers; by those patterns the work is about 72% desk work, 24% people work and 4% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does Uber Technologies, Inc.'s annual report say about AI?
17 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 4, 4, 13, 14 and 17 sentences, year by year. They are counted and quoted on this page, never judged: a count says how much a filing talks about AI, not what the company does with it.
How is this estimated?
Claude Fable 5.1 read the annual report under the Index's written rubric (version 1) on October 2, 2026: the stated headcount, the share in the U.S. when stated, and the workforce as a blend of industry staffing patterns. The estimates are the site's industry estimates weighted by those shares, from O*NET tasks with estimated lengths and METR's measurements of how long a task AI models can finish. A company can write to info@stratussc.com to have its reading checked against its filing.
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