Old National Bancorp (ONB)

Midwest regional bank, 4,971 full-time equivalents. Read October 20, 2026 from the annual report for the period ending December 31, 2025, filed February 19, 2026. Ranked 25 of the 120 Financial Services companies read so far, by the share within reach now.

The filing states 4,971 full-time equivalent team members of a Midwest and Southeast bank with nothing counted by business, 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

4,971 employees as of December 31, 2025 (full-time equivalent). The filing describes a Midwest and Southeast banking footprint and no operations abroad (recorded as 1, flagged).

The filing: “At December 31, 2025, we employed 4,971 full-time equivalent team members.”

The workforce as industry patterns

What the filing says about the workforce: 4,971 full-time equivalents, up from 4,066 a year earlier after the acquisition of Bremer on May 1, 2025, which the filing describes; team members logged 67,700 volunteer hours.

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

13 sentences in the filing name AI. The filing names AI among competitive risks, as technology that could affect competition for financial services, among cyber threats enhanced by AI, and among the rapid technological change in the industry.

• “In addition, the emergence, adoption and evolution of new technologies that do not require intermediation, including distributed ledgers, as well as advances in artificial intelligence and automation could significantly affect competition for financial services.”
• “Malicious actors, who are becoming increasingly sophisticated and may see their effectiveness enhanced by the use of artificial intelligence, deep-fake technologies, quantum computing and other novel technologies, may also attempt to fraudulently induce employees, customers or other users of our systems to disclose sensitive information, including passwords and other identifying information, in...”
• “The financial services industry is continually undergoing rapid technological change, including with respect to development and implementation of artificial intelligence solutions, and with frequent introductions of new technology-driven products and services.”
• “The development and use of artificial intelligence presents risks and challenges that may adversely impact Old National's business.”
• “The use and development of artificial intelligence, including digital employees and digital engineers, by Old National and its third party vendors, clients, counterparties, and other market participants in certain business processes, models, including generative artificial intelligence models, services, or products may expose Old National to risks and potential liabilities.”

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 20230median 1
• Fiscal 20241median 4
• Fiscal 202513median 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

• The count is full-time equivalents (rule 2).
• The U.S. share is recorded as 1 because the filing describes only a U.S. footprint; it states no count by country.
• The data service's segment table is from fiscal 2021.

Source: the company's annual report on EDGAR, accession 0000707179-26-000010, 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.