The Workforce AI Index · Real Estate
Jones Lang LaSalle Incorporated (JLL)
Real estate services, counted by reimbursable status. Read October 1, 2026 from the annual report for the period ending 2025-12-31, filed 2026-02-19. Ranked 1 of the 2 Real Estate companies read so far, by the share within reach now: the sector.
The filing counts 58,600 professional and 54,600 reimbursable employees, 113,200 in all, with two-thirds outside the United States, so the patterns follow those counts (a) with the split inside them 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: 19% now, 30% at the end of 2027, 33% at the end of 2028, 33% at the end of 2030. By the patterns, the work is about 33% desk work, 19% people work and 47% 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 67% of the working time stays with people (conversation, in-person and hands-on work), 24% 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
113,200 employees as of 2025-12-31 (stated). The filing states that approximately two-thirds of employees were based in countries other than the United States, so about one-third are in the United States.
The filing: “Professional non-reimbursable employees 58.6 Directly reimbursable employees 54.6 Total employees 113.2 (in thousands) as of December 31, 2025.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Real Estate | 60% | By stated counts (a): 58,600 professional non-reimbursable employees, 52% of the total, in brokerage, advisory and investment management, plus the property management professionals the filing places among the reimbursable employees, that part by description (c). |
| Facilities Support Services | 25% | By stated counts (a) within the 54,600 directly reimbursable employees, which the filing says include many of its Workplace Management professionals; the share within that count is by description (c). |
| Services to Buildings and Dwellings | 15% | By stated counts (a): the filing counts approximately 4,100 building maintenance employees in the United States and places building maintenance among its reimbursable employees; the rest of the share is by description (c). |
What the filing says about the workforce: 58,600 professional non-reimbursable and 54,600 directly reimbursable employees, the latter fully reimbursed by clients; approximately 4,100 building maintenance employees in the United States are union members, over 78% of them reimbursable; about two-thirds based outside the United States; over 1,000 health and safety professionals.
What the filing says about AI
31 sentences in the filing name AI. The filing names AI in 31 sentences: AI and machine learning in its risk analytics services, AI tools in its goal-setting platform for employees, AI among its training topics, and AI as a force reshaping workplaces and the real estate industry.
- “Our risk analytics services use artificial intelligence ("AI") and machine learning to identify risks from cash flow stability, climate change, location, regulatory and health and safety risks.”
- “An evolving technology backdrop (e.g., artificial intelligence, or "AI") and other macro factors on workforce productivity, creativity, well-being and culture, corporate management and boards around the world have a sustained focus on reimagining workplaces and concepts for the future of work.”
- “AI and technology's next frontier The real estate industry is affected by advances in technology, data and artificial intelligence in many ways, specifically: (1) the transition to flexible and hybrid office working models, (2) new data-driven understanding of how all forms of real estate can be more efficient, sustainable and productive, (3) the rise of experiential and online retail, (4) new...”
- “The technology and data solutions we provide include multiple cloud-based software products and AI-powered platforms.”
- “JLL's technology strategy is to curate a portfolio of impactful and transformative technology products that drive revenue growth and increase the profitability of JLL, anchored in both an AI-forward approach and one that enables us to deliver valuable insights to our clients.”
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.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2025-12-31 | 113,000 | 2026-02-19 | 10-K |
| 2024-12-31 | 112,000 | 2025-02-19 | 10-K |
| 2023-12-31 | 106,000 | 2024-02-27 | 10-K |
| 2022-12-31 | 103,000 | 2023-02-28 | 10-K |
| 2021-12-31 | 98,000 | 2022-02-28 | 10-K |
| 2020-12-31 | 91,000 | 2021-02-18 | 10-K |
| 2019-12-31 | 93,000 | 2020-02-27 | 10-K |
| 2018-12-31 | 90,000 | 2019-02-26 | 10-K |
| 2017-12-31 | 82,000 | 2018-02-23 | 10-K |
| 2016-12-31 | 77,000 | 2017-02-23 | 10-K |
| 2015-12-31 | 60,000 | 2016-02-25 | 10-K |
| 2014-12-31 | 58,100 | 2015-02-27 | 10-K |
| 2013-12-31 | 52,700 | 2014-02-27 | 10-K |
| 2012-12-31 | 48,000 | 2013-02-26 | 10-K |
| 2011-12-31 | 45,500 | 2012-02-27 | 10-K |
| 2010-12-31 | 40,300 | 2011-02-25 | 10-K |
| 2009-12-31 | 36,600 | 2010-02-26 | 10-K |
| 2008-12-31 | 36,200 | 2009-02-27 | 10-K |
| 2007-12-31 | 32,700 | 2008-02-29 | 10-K |
| 2006-12-31 | 11,900 | 2007-02-28 | 10-K |
| 2005-12-31 | 22,000 | 2006-03-03 | 10-K |
| 2004-12-31 | 19,300 | 2005-03-11 | 10-K |
| 2003-12-31 | 17,300 | 2004-03-12 | 10-K |
| 2002-12-31 | 16,900 | 2003-03-06 | 10-K |
| 2001-12-31 | 13,700 | 2002-04-01 | 10-K405 |
| 2000-12-31 | 5,000 | 2001-04-02 | 10-K |
| 1999-12-31 | 7,000 | 2000-03-30 | 10-K |
| 1998-12-31 | 2,200 | 1999-03-04 | 10-K405 |
| 1997-12-31 | 1,464 | 1998-03-27 | 10-K |
Limits of this reading
- The split inside the reimbursable count between property management, workplace management and building maintenance rests on the filing's description (c).
Source: the company's annual report on EDGAR, accession 0001037976-26-000037, 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 Jones Lang LaSalle Incorporated's working time is within reach of AI?
- An estimated 19% now and 33% by the end of 2028, on METR's long-run pace at four in five, from the workforce Jones Lang LaSalle Incorporated'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 Jones Lang LaSalle Incorporated employ?
- 113,200 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states. About 33% in the U.S.
- What kinds of work make up Jones Lang LaSalle Incorporated's workforce?
- Read from its annual report as a blend of 3 industry staffing patterns, the largest Real Estate; by those patterns the work is about 33% desk work, 19% people work and 47% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Jones Lang LaSalle Incorporated's annual report say about AI?
- 31 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.
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.