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The Workforce AI Index · Financial Services

Marsh & McLennan Companies, Inc. (MRSH)

Insurance broking and consulting, counted by segment. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-02-09. Ranked 14 of the 15 Financial Services companies read so far, by the share within reach now: the sector.

The filing counts 55,700 colleagues in Risk and Insurance Services and 29,100 in Consulting of more than 95,000, so the two patterns follow those counts (a).

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: 33% now, 54% at the end of 2027, 63% at the end of 2028, 65% at the end of 2030. By the patterns, the work is about 65% desk work, 28% people work and 6% 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 35% of the working time stays with people (conversation, in-person and hands-on work), 53% becomes checking a model's work and 9% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

95,000 employees as of 2025-12-31 (stated). The filing gives no count by country; revenue by geography puts the United States at 49%.

The filing: “As of December 31, 2025, the Company and its consolidated subsidiaries employed more than 95,000 colleagues worldwide, including approximately 55,700 in Risk and Insurance Services and 29,100 in Consulting.”

The workforce as industry patterns

PatternShareReason, from the filing
Agencies, Brokerages, and Other Insurance Related Activities66%By stated counts (a): 55,700 colleagues in Risk and Insurance Services, Marsh with 52,000 and Guy Carpenter with 3,700, with the uncounted corporate remainder spread in proportion under rule 6.
Management, Scientific, and Technical Consulting Services34%By stated counts (a): 29,100 colleagues in Consulting, Mercer and Oliver Wyman, with the uncounted corporate remainder spread in proportion under rule 6.

What the filing says about the workforce: More than 95,000 colleagues: 55,700 in Risk and Insurance Services and 29,100 in Consulting, the rest in corporate and shared functions without a stated count; more than 46,000 hold AI Academy credentials.

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.

What the filing says about AI

39 sentences in the filing name AI. The filing names AI in 39 sentences: AI Academies through which more than 46,000 colleagues earned credentials, AI Transformation among Oliver Wyman's specializations, and AI regulation and disruption among its risks.

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
2025-12-3195,0002026-02-0910-K
2024-12-3190,0002025-02-1010-K
2023-12-3185,0002024-02-1210-K
2022-12-3185,0002023-02-1310-K
2021-12-3183,0002022-02-1610-K
2020-12-3176,0002021-02-1710-K
2019-12-3176,0002020-02-2010-K
2018-12-3165,0002019-02-2110-K
2017-12-3165,0002018-02-2210-K
2016-12-3160,0002017-02-2410-K
2015-12-3132,6002016-02-2410-K
2014-12-3157,0002015-02-2610-K
2013-12-3155,0002014-02-2710-K
2012-12-3154,0002013-02-2710-K
2011-12-3152,4002012-02-2810-K
2010-12-3151,0002011-02-2810-K
2009-12-3152,0002010-02-2610-K
2008-12-3154,4002009-02-2710-K
2007-12-3156,0002008-02-2910-K
2006-12-3155,2002007-03-0110-K
2005-12-31not read2006-03-0210-K
2004-12-3161,8002005-03-0910-K
2003-12-3160,5002004-03-1510-K
2002-12-3159,5002003-03-2610-K
2001-12-3157,8002002-03-2910-K
2000-12-3157,0002001-03-2910-K
1999-12-3152,9002000-03-2910-K
1998-12-3154,3001999-03-3110-K
1997-12-3136,0001998-03-2610-K405
1996-12-3127,0001997-03-3110-K
1995-12-3127,0001996-03-2810-K405
1994-12-3126,0001995-03-2810-K

Limits of this reading

Source: the company's annual report on EDGAR, accession 0000062709-26-000022, 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 Marsh & McLennan Companies, Inc.'s working time is within reach of AI?
An estimated 33% now and 63% by the end of 2028, on METR's long-run pace at four in five, from the workforce Marsh & McLennan Companies, 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 Marsh & McLennan Companies, Inc. employ?
95,000 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
What kinds of work make up Marsh & McLennan Companies, Inc.'s workforce?
Read from its annual report as a blend of 2 industry staffing patterns, the largest Agencies, Brokerages, and Other Insurance Related Activities; by those patterns the work is about 65% desk work, 28% people work and 6% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does Marsh & McLennan Companies, Inc.'s annual report say about AI?
39 sentences in the filing name AI. 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 1, 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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