Alight, Inc. (ALIT)

Benefits administration platform, 80% North America. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 24, 2026. Ranked 15 of the 135 Technology companies read so far, by the share within reach now.

Alight states more than 9,500 colleagues at December 31, 2025, about 80% in North America, administering health, wealth and benefits programs for employers on its platform with no count by kind of work, so the administration work takes the insurance services group that holds third-party administration and the platform engineering the rest by description (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: 35% now, 56% at the end of 2027, 64% at the end of 2028, 67% at the end of 2030. By the patterns, the work is about 67% desk work, 29% 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 33% of the working time stays with people (conversation, in-person and hands-on work), 55% becomes checking a model's work and 8% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

9,500 employees as of December 31, 2025 (stated). The filing states approximately 80% of colleagues in North America; the U.S. alone is not stated.

The filing: “Human Capital Management As of December 31, 2025, we employed more than 9,500 colleagues, approximately 80% of whom were located in North America.”

The workforce as industry patterns

What the filing says about the workforce: More than 9,500 colleagues, about 80% in North America; 67% of U.S. colleagues identify as female; the count fell from 18,000 in 2023, which the excerpt does not explain.

Companies read with the same leading pattern

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

• Marsh & McLennan Companies, Inc. (MRSH, 95,000 employees)35% now, 63% by 2028
• Arthur J. Gallagher & Co. (AJG, 72,000 employees)39% now, 62% by 2028
• Aon plc (AON, 60,000 employees)36% now, 63% by 2028
• Brown & Brown, Inc. (BRO, 22,888 employees)39% now, 62% by 2028
• First American Financial Corporation (FAF, 19,102 employees)39% now, 65% by 2028
• Crawford & Company (CRD-A, 9,943 employees)40% now, 62% by 2028
• Stewart Information Services Corporation (STC, 7,800 employees)39% now, 65% by 2028

What the filing says about AI

18 sentences in the filing name AI. The filing names its data, analytics and AI delivering actionable insights such as healthcare claims savings and AI-driven omnichannel engagement for its clients' employees.

• “A summary of the principal factors that create risk in investing in our securities and might cause actual results to differ is set forth below: declines in economic activity in the industries, markets, and regions our clients serve, including as a result of macroeconomic factors beyond our control, heightened interest rates or changes in monetary, trade and fiscal policies; risks associated wit...”
• “Our data, analytics and AI allow us to deliver actionable insights that drive measurable outcomes, such as healthcare claims savings, for companies and their people.”
• “Our data and access across the breadth of human capital solutions provides us with comprehensive employee records to enable AI-driven, omnichannel engagement and a personalized, integrated experience for our clients' employees.”
• “AI and analytics layer that uses data from our transactional systems, combined with client and third-party data to drive insights for clients.”
• “Large and well-capitalized competitors may be able to respond to the need for technological changes (including the implementation of AI and ML) and innovate faster, or price their services more aggressively.”

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 202112median 0
• Fiscal 20229median 0
• Fiscal 202315median 1
• Fiscal 202414median 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

• No count by kind of work: the split is by description (c); the data service's segment and geography tables are stale.
• The U.S. share is not stated; North America holds 80%.

Source: the company's annual report on EDGAR, accession 0001628280-26-011108, 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.