Lyft, Inc. (LYFT)

Ride platform, drivers not employees. Read November 8, 2026 from the annual report for the period ending December 31, 2025, filed February 11, 2026. Ranked 30 of the 238 Technology companies read so far, by the share within reach now.

Lyft states 3,913 full-time employees worldwide, mostly engineers, product and corporate staff read at software publishers with its support operations at business support services, by description as Uber is read; drivers are not employees.

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: 52% now, 66% at the end of 2027, 71% 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), 58% 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

3,913 employees as of December 31, 2025 (stated). The filing states no count by country; the FreeNow business acquired in 2025 operates in Europe, and 96% of revenue is in the United States by the data service.

The filing: “As of December 31, 2025, we had 3,913 full-time employees worldwide.”

The workforce as industry patterns

What the filing says about the workforce: 3,913 full-time employees worldwide, up from 2,934 a year earlier with the FreeNow acquisition; drivers on the platform are not employees; a restructuring note in the financial statements refers to an earlier plan that ended about 1,072 positions; no union or country counts stated.

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. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

• Microsoft (MSFT, 223,000 employees)51% now, 73% by 2028
• Oracle (ORCL, 141,000 employees)51% now, 73% by 2028
• Salesforce, Inc. (CRM, 83,334 employees)51% now, 73% by 2028
• Uber Technologies, Inc. (UBER, 34,000 employees)52% now, 71% by 2028
• DoorDash, Inc. (DASH, 31,400 employees)52% now, 71% by 2028
• Adobe Inc. (ADBE, 31,360 employees)51% now, 73% by 2028
• ServiceNow, Inc. (NOW, 29,187 employees)51% now, 73% by 2028
• Synopsys, Inc. (SNPS, 28,000 employees)51% now, 73% by 2028

What the filing says about AI

18 sentences in the filing name AI. The filing says it uses machine learning to predict behavior and balance supply and demand in its marketplace and to monitor rides in real time from GPS, speed and stop data, and names AI among its risk factors, in 18 sentences.

• “Utilizing machine learning capabilities to predict future behavior based on many years of historical data and use cases, we employ various levers to balance supply and demand in the marketplace, 6 creating increased driver earnings while maintaining strong service levels for riders.”
• “Our platform employs machine learning to monitor rides in real-time, analyzing GPS trajectory, speed, stops, and historical patterns.”
• “Risk Factor Summary Our business operations are subject to numerous risks, factors and uncertainties, including those outside of our control, that could cause our actual results to be harmed, including risks regarding the following: Operational Factors uncertainty regarding the growth of ridesharing and other markets and the unpredictability of our results of operations; our financial performan...”
• “Use of artificial intelligence and machine learning may present additional risks, including risks associated with algorithm development or use, the data sets used, and/or a complex, developing regulatory environment.”
• “We use artificial intelligence ("AI") (including machine learning and automated decision making) for our internal work streams and productivity as well as in our platform, offerings, services and features, which may present additional risks, including risks inherent in its use.”

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

• Fiscal 20212median 0
• Fiscal 20221median 0
• Fiscal 202317median 1
• Fiscal 202417median 4
• Fiscal 202518median 10

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.

Limits of this reading

• The split between platform work and support operations is by description (c), following the Uber reading; the filing counts no employees by function.
• No count by country is stated; the U.S. share is left null.

Source: the company's annual report on EDGAR, accession 0001628280-26-006960, 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.