Euronet Worldwide, Inc. (EEFT)

ATMs, money transfer and payment processing, 72 offices. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 26, 2026. Ranked 10 of the 135 Technology companies read so far, by the share within reach now.

Euronet states approximately 10,800 employees at December 31, 2025 across money transfer, EFT processing and epay segments, all payment processing and transfer services, with no count by segment or country, so one pattern takes the whole workforce at the credit group that holds payment processing 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: 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

10,800 employees as of December 31, 2025 (stated). The filing counts no employees by country; revenue is 59% Europe and 25% North America.

The filing: “Employees We had approximately 10,800, 10,600 and 10,000 employees as of December 31, 2025, 2024, and 2023, respectively.”

The workforce as industry patterns

What the filing says about the workforce: No union represents employees except at one Spanish subsidiary; 72 offices worldwide; the count rose from 10,000 in 2023.

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 as a material enterprise risk disclosed by many companies and the risk that AI systems produce incorrect, biased or unreliable outputs affecting operations, compliance and customer interactions.

• “Divergent or rapidly changing regulatory frameworks may raise compliance costs, create operational uncertainty, affect relationships with financial institutions, or require modifications to existing processes.  Indirect Business Impact: Even if the Company does not ultimately introduce crypto ‑ related products, broader industry developments, supervisory expectations, or third ‑ party risk ass...”
• “A growing number of public companies now disclose AI as a material enterprise risk due to concerns related to cybersecurity, data privacy, model accuracy, regulatory uncertainty, competition, and reputational exposure.”
• “AI systems-whether developed internally or provided by third parties-may produce incorrect, biased, or unreliable outputs, which could adversely affect our operations, decision ‑ making, compliance programs, and customer interactions.”
• “As AI expands the potential attack surface for cyber threats, it may increase the likelihood or severity of data breaches and unauthorized access to sensitive information.”
• “Emerging frameworks such as the EU Artificial Intelligence Act and new U.S. state ‑ level AI laws may impose additional compliance obligations, restrict certain uses of AI, or require costly system changes.”

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 20240median 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

• No count by segment or country: the one pattern is by description (c).

Source: the company's annual report on EDGAR, accession 0001554855-26-000131, 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.