UMB Financial Corporation (UMBF)
Regional bank, 5,222 full-time equivalents, all U.S. Read October 20, 2026 from the annual report for the period ending December 31, 2025, filed February 26, 2026. Ranked 33 of the 120 Financial Services companies read so far, by the share within reach now.
Within reach now
40%
End of 2028
66%
Employees, annual report
5,222
Leading staffing pattern
Credit Intermediation and Related Activities (5221 and 5223 only)
Share of the working time within reach, long-run pace, four times in five
- Now40%
- End of 202758%
- End of 202866%
- End of 203068%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 32%
- Becomes checking a model's work 60%
- Handed over with lighter checks 6%
The filing states 5,222 full-time equivalent associates across the country in one banking business with nothing by line, so one bank pattern carries the workforce.
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: 40% now, 58% at the end of 2027, 66% at the end of 2028, 68% at the end of 2030. By the patterns, the work is about 68% desk work, 23% people work and 9% 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 32% of the working time stays with people (conversation, in-person and hands-on work), 60% becomes checking a model's work and 6% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
5,222 employees as of December 31, 2025 (full-time equivalent). The filing counts its associates across the country and describes no operations abroad (recorded as 1, flagged).
The filing: “On a full-time equivalent basis on December 31, 2025, the Company and its subsidiaries employed 5,222 associates across the country.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Credit Intermediation and Related Activities (5221 and 5223 only) | 100% | By description (c): a bank holding company whose filing describes banking, trust and payment services with no count by business; the data service's revenue table is not usable. |
What the filing says about the workforce: 5,222 full-time equivalents, against 3,698 a year earlier; nearly 20% take part in business resource groups.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Credit Intermediation and Related Activities (5221 and 5223 only), largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- JPMorgan Chase (JPM, 318,512 employees)37% now, 68% by 2028
- Citigroup (C, 226,000 employees)38% now, 68% by 2028
- Bank of America (BAC, 213,000 employees)39% now, 67% by 2028
- Wells Fargo (WFC, 205,000 employees)39% now, 67% by 2028
- Capital One Financial Corporation (COF, 76,300 employees)40% now, 66% by 2028
- U.S. Bancorp (USB, 68,520 employees)40% now, 66% by 2028
- The PNC Financial Services Group, Inc. (PNC, 55,333 employees)40% now, 66% by 2028
- Mastercard Incorporated (MA, 39,800 employees)40% now, 66% by 2028
What the filing says about AI
7 sentences in the filing name AI. The filing names AI among the privacy and data laws it is subject to and among operational risks, including the integration of AI with its systems and the controls it must maintain for it.
- “The Company is subject to a variety of complex and continuously evolving and developing laws, regulations, rules, standards and contractual obligations regarding privacy, data protection/use and data security, including those related to the collection, storage, handling, use, disclosure, transfer, security, integration with artificial intelligence and other processing of personal information.”
- “This gives rise to meaningful operational 23 risk-including the risk of fraud by employees or outside parties, unauthorized access to the Company's premises or systems, errors in processing, use of or integration with artificial intelligence, failures of technology, breaches of internal controls or compliance safeguards, malware and other security or hacking incidents, inadequate integration of...”
- “The Company must successfully develop and maintain information, financial reporting, disclosure, privacy, data protection, data security, artificial intelligence, and other controls adapted to the Company's reliance on outside platforms and providers.”
- “In addition, service providers or solutions utilizing artificial intelligence are subject to uncertain and evolving laws and regulations, unique data, confidentiality and privacy risks, and the potential for unexpected operational results that are not insignificant.”
- “Despite reasonable efforts, the Company's risk management framework may not be sufficiently effective in managing the risk of artificial intelligence usage, which could result in significant operational, financial, legal and reputational risk for the Company.”
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 20210median 0
- Fiscal 20220median 0
- Fiscal 20231median 1
- Fiscal 20241median 4
- Fiscal 20257median 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.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2025-12-31 | 5,222 | 2026-02-26 | 10-K |
| 2024-12-31 | 3,698 | 2025-02-27 | 10-K |
| 2023-12-31 | 3,599 | 2024-02-22 | 10-K |
| 2022-12-31 | 3,770 | 2023-02-23 | 10-K |
| 2021-12-31 | 3,529 | 2022-02-24 | 10-K |
| 2020-12-31 | 3,591 | 2021-03-01 | 10-K |
| 2019-12-31 | 3,670 | 2020-02-27 | 10-K |
| 2018-12-31 | 3,573 | 2019-03-01 | 10-K |
| 2017-12-31 | 3,570 | 2018-02-22 | 10-K |
| 2016-12-31 | 3,688 | 2017-02-23 | 10-K |
| 2015-12-31 | 3,830 | 2016-02-25 | 10-K |
| 2014-12-31 | 3,592 | 2015-02-27 | 10-K |
| 2013-12-31 | 3,498 | 2014-02-25 | 10-K |
| 2012-12-31 | 3,448 | 2013-02-25 | 10-K |
| 2011-12-31 | 3,448 | 2012-02-28 | 10-K |
| 2010-12-31 | 3,355 | 2011-02-24 | 10-K |
| 2009-12-31 | 3,245 | 2010-02-24 | 10-K |
| 2008-12-31 | 3,274 | 2009-02-26 | 10-K |
| 2007-12-31 | 3,357 | 2008-02-28 | 10-K |
| 2006-12-31 | 3,432 | 2007-03-01 | 10-K |
| 2005-12-31 | 3,433 | 2006-03-15 | 10-K |
| 2004-12-31 | 3,573 | 2005-03-14 | 10-K |
| 2003-12-31 | 3,807 | 2004-03-15 | 10-K |
| 2002-12-31 | 4,027 | 2003-03-12 | 10-K |
| 2001-12-31 | 4,222 | 2002-03-28 | 10-K |
| 2000-12-31 | not read | 2001-03-30 | 10-K |
| 1999-12-31 | not read | 2000-03-29 | 10-K |
| 1998-12-31 | not read | 1999-03-30 | 10-K |
| 1997-12-31 | not read | 1998-03-27 | 10-K |
| 1996-12-31 | not read | 1997-03-26 | 10-K |
| 1995-12-31 | not read | 1996-03-21 | 10-K |
| 1994-12-31 | not read | 1995-03-24 | 10-K |
| 1993-12-31 | not read | 1994-03-18 | 10-K |
Limits of this reading
- The count is full-time equivalents (rule 2).
- The U.S. share is recorded as 1 because the filing describes only operations across the country; it states no count by country.
- The headcount rose from 3,698 to 5,222 in the year; the excerpt states no cause.
Source: the company's annual report on EDGAR, accession 0001193125-26-076496, 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.
The report on UMB Financial Corporation, $29
This page as a document to keep, with what it does not show: the share within reach at every date on three paces and two reliabilities, a typical workforce of this shape at the stated headcount role by role and task by task (the industries' staffing, never the company's roster), where to start, what changes for the people and what they would learn, every sentence in the filing that names AI, the headcount by year, the companies read with the same leading pattern, the method and a citation line. To print or save as a PDF, open again in your browser for a year.
See the report, $29See the sample first: Walmart's report is free
Questions about this company
- How much of UMB Financial Corporation's working time is within reach of AI?
- An estimated 40% now and 66% by the end of 2028, on METR's long-run pace at four in five, from the workforce UMB Financial Corporation'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 UMB Financial Corporation employ?
- 5,222 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states, in full-time equivalents. About 100% in the U.S.
- What kinds of work make up UMB Financial Corporation's workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Credit Intermediation and Related Activities (5221 and 5223 only); by those patterns the work is about 68% desk work, 23% people work and 9% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does UMB Financial Corporation's annual report say about AI?
- 7 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 1, 1 and 7 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 20, 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.