Shift4 Payments, Inc. (FOUR)

Payments processor grown by acquisition. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 27, 2026. Ranked 13 of the 155 Technology companies read so far, by the share within reach now.

Shift4’s approximately 6,300 employees, 2,500 of them added by acquisitions in 2025, run payment processing and software for restaurants, hospitality and retail, read as one transaction processing pattern.

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

6,300 employees as of December 31, 2025 (stated). The filing counts no employees by country; 79% of revenue is in the United States.

The filing: “As of December 31, 2025, we employed approximately 6,300 employees.”

The workforce as industry patterns

What the filing says about the workforce: Approximately 6,300 employees, about 2,500 added through acquisitions in 2025; 841 organic hires; about 40% female; a hybrid model with four office days near major hubs.

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 13 times: proprietary AI and machine learning throughout its business, an AI website builder for restaurants, and the regulatory risks of using them.

• “Our use of artificial intelligence and machine learning tools may subject us to regulatory requirements and additional risks and may adversely impact our reputation and the performance of our products, service offerings and business.”
• “We use artificial intelligence, machine learning, and automated decision-making technologies, including proprietary artificial intelligence and machine learning algorithms throughout our business, and are making significant investments to continuously improve our use of such technologies.”
• “For example, we use machine learning, artificial intelligence and automated decision-making technologies in our SkyTab Website Builder, a tool powered by artificial intelligence for restaurants to quickly and easily create a website for their business. 23 Table of Contents There are significant risks involved in developing, maintaining and deploying these technologies and there can be no assura...”
• “In particular, if these artificial intelligence or machine learning models are incorrectly designed or implemented; trained or reliant on incomplete, inadequate, inaccurate, biased or otherwise poor quality data or on data to which we do not have sufficient rights; and/or are adversely impacted by unforeseen defects, technical challenges, cyber security threats or material performance issues, t...”
• “Any confidential information that we input into a generative artificial intelligence platform could be leaked or disclosed to others, including sensitive information that is used to train the model.”

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 20236median 1
• Fiscal 20247median 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 headcount series rises from 4,000 to 6,300 with about 2,500 employees added through acquisitions in 2025; the years are not like for like.
• No count by kind of work or country; one processing pattern by description.

Source: the company's annual report on EDGAR, accession 0001794669-26-000010, 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.