United Community Banks, Inc. (UCB)
A regional bank. Read November 8, 2026 from the annual report for the period ending December 31, 2025, filed February 17, 2026. Ranked 121 of the 173 Financial Services companies read so far, by the share within reach now.
Within reach now
56%
projected from METR's April 2026 measurement and Epoch's November 2026 index
End of 2028
68%
Employees, annual report
3,070
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
Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- Now56%
- End of 202766%
- End of 202868%
- 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 61%
- Handed over with lighter checks 6%
A regional bank holding company with 3,070 full-time equivalent employees in one banking pattern by description.
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: 56% now, 66% at the end of 2027, 68% 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), 61% 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
3,070 employees as of December 31, 2025 (full-time equivalent). The filing describes a bank operating in southeastern U.S. states and nothing abroad, so the U.S. share is recorded as 1, flagged.
The filing: “As of December 31, 2025, we employed 3,070 full-time equivalent employees compared to 2,979 as of December 31, 2024.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Credit Intermediation and Related Activities (5221 and 5223 only) | 100% | By description (c): one regional bank, United Community Bank, with no count by function; the corporate staff stay inside under rule 6. |
What the filing says about the workforce: 3,070 full-time equivalent employees, up 3% from 2,979; named one of American Banker's Best Banks to Work For for nine consecutive years.
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. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- JPMorgan Chase (JPM, 318,512 employees)56% now, 70% by 2028
- Citigroup (C, 226,000 employees)57% now, 70% by 2028
- Bank of America (BAC, 213,000 employees)57% now, 69% by 2028
- Wells Fargo (WFC, 205,000 employees)57% now, 69% by 2028
- Capital One Financial Corporation (COF, 76,300 employees)56% now, 68% by 2028
- U.S. Bancorp (USB, 68,520 employees)56% now, 68% by 2028
- The PNC Financial Services Group, Inc. (PNC, 55,333 employees)56% now, 68% by 2028
- Mastercard Incorporated (MA, 39,800 employees)56% now, 68% by 2028
What the filing says about AI
8 sentences in the filing name AI. Eight sentences, risk factors: rapid technological change from artificial intelligence and machine learning, used by non-bank competitors to draw revenue away from banks.
- “Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements, in addition to those described in detail under Item 1A of this Report - "Risk Factors" - include, but are not limited to the following: negative economic and political conditions that adversely affect the general economy, the banking sector,...”
- “The financial services industry has undergone and continues to undergo rapid change as a result of frequent new technological innovations, such as artificial intelligence and machine learning.”
- “Recent technologies that have been integrated into the existing financial and banking systems, such as artificial intelligence, machine learning and continued development of smartphone applications have also been utilized by non-bank competitors, which has siphoned a portion of the revenues from those services away from banks and disrupting traditional methods of delivering those services.”
- “For example, companies which claim to offer applications and services based on artificial intelligence are beginning to compete much more directly with traditional financial services companies in areas involving personal advice, including high-margin services such as wealth management.”
- “Our success in the competitive environment in which we operate requires consistent investment of capital and human resources in innovation, particularly in light of the current fintech environment, in which the financial services industry is undergoing rapid technological changes and financial institutions are investing significantly in evaluating new technologies, such as artificial intelligen...”
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 20211median 0
- Fiscal 20221median 0
- Fiscal 20233median 1
- Fiscal 20246median 4
- Fiscal 20258median 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 | 3,070 | 2026-02-17 | 10-K |
| 2024-12-31 | 2,979 | 2025-02-27 | 10-K |
| 2023-12-31 | 3,121 | 2024-02-23 | 10-K |
| 2022-12-31 | 3,046 | 2023-02-24 | 10-K |
| 2021-12-31 | 2,921 | 2022-02-25 | 10-K |
| 2020-12-31 | 2,406 | 2021-02-25 | 10-K |
| 2019-12-31 | 2,309 | 2020-02-27 | 10-K |
| 2018-12-31 | 2,312 | 2019-02-27 | 10-K |
| 2017-12-31 | 2,137 | 2018-02-27 | 10-K |
| 2016-12-31 | 1,916 | 2017-02-27 | 10-K |
| 2015-12-31 | 1,883 | 2016-02-26 | 10-K |
| 2014-12-31 | 1,506 | 2015-02-27 | 10-K |
| 2013-12-31 | 1,472 | 2014-02-28 | 10-K |
| 2012-12-31 | 1,553 | 2013-03-01 | 10-K |
| 2011-12-31 | 1,706 | 2012-03-14 | 10-K |
| 2010-12-31 | 1,763 | 2011-03-16 | 10-K |
| 2009-12-31 | 1,801 | 2010-02-26 | 10-K |
| 2008-12-31 | 1,919 | 2009-02-27 | 10-K |
| 2007-12-31 | 1,944 | 2008-02-29 | 10-K |
| 2006-12-31 | 1,866 | 2007-02-27 | 10-K |
| 2005-12-31 | 1,643 | 2006-03-01 | 10-K |
| 2004-12-31 | 1,532 | 2005-03-01 | 10-K |
| 2003-12-31 | 1,296 | 2004-03-08 | 10-K |
| 2002-12-31 | 1,097 | 2003-03-20 | 10-K |
| 2001-12-31 | 1,048 | 2002-03-15 | 10-K405 |
| 2000-12-31 | 968 | 2001-04-02 | 10-K405 |
| 1999-12-31 | not read | 2000-03-13 | 10-K |
| 1998-12-31 | not read | 1999-03-23 | 10-K |
| 1997-12-31 | not read | 1998-03-27 | 10-K |
| 1996-12-31 | not read | 1997-03-28 | 10-K405 |
Limits of this reading
- A full-time equivalent count, recorded as such (rule 2).
- The U.S. share is read from the filing's description, not stated as a share.
Source: the company's annual report on EDGAR, accession 0000857855-26-000008, 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 United Community Banks, Inc., $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 United Community Banks, Inc.'s working time is within reach of AI?
- An estimated 56% now and 68% by the end of 2028, on METR's long-run pace at four in five, from the workforce United Community Banks, 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 United Community Banks, Inc. employ?
- 3,070 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 United Community Banks, Inc.'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 United Community Banks, Inc.'s annual report say about AI?
- 8 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 1, 1, 3, 6 and 8 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 November 8, 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.