ZoomInfo Technologies Inc. (GTM)

Go-to-market data software, administrative staff. Read November 8, 2026 from the annual report for the period ending December 31, 2025, filed February 12, 2026. Ranked 112 of the 238 Technology companies read so far, by the share within reach now.

A data software company whose filing counts 3,180 employees by function, 385 of them general and administrative, with 72% in North America.

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: 51% now, 68% at the end of 2027, 73% at the end of 2028, 74% at the end of 2030. By the patterns, the work is about 74% desk work, 23% people work and 3% 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 26% of the working time stays with people (conversation, in-person and hands-on work), 62% becomes checking a model's work and 9% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

3,180 employees as of December 31, 2025 (stated). North America is stated, not the U.S.: 72% of employees in North America, 9% in the Middle East, 16% in Asia and 3% in Europe.

The filing: “As of December 31, 2025, we had 3,180 employees, consisting of 662 in cost of service, 1,370 in sales and marketing, 763 in research and development, and 385 in general and administrative.”

The workforce as industry patterns

What the filing says about the workforce: 3,180 employees: 662 cost of service, 1,370 sales and marketing, 763 research and development, 385 general and administrative; 72% in North America; a hybrid model for office-assigned employees.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Software Publishers, 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.

• Microsoft (MSFT, 223,000 employees)51% now, 73% by 2028
• Oracle (ORCL, 141,000 employees)51% now, 73% by 2028
• Salesforce, Inc. (CRM, 83,334 employees)51% now, 73% by 2028
• Uber Technologies, Inc. (UBER, 34,000 employees)52% now, 71% by 2028
• DoorDash, Inc. (DASH, 31,400 employees)52% now, 71% by 2028
• Adobe Inc. (ADBE, 31,360 employees)51% now, 73% by 2028
• ServiceNow, Inc. (NOW, 29,187 employees)51% now, 73% by 2028
• Synopsys, Inc. (SNPS, 28,000 employees)51% now, 73% by 2028

What the filing says about AI

53 sentences in the filing name AI. Fifty-three sentences, the product: a go-to-market intelligence platform with AI-ready insights and agent-assisted selling, built on an artificial intelligence and machine learning engine that gathers and verifies billions of data points.

• “Further, because the following is only a summary of the principal risks that may have a material adverse effect on our business, financial condition, results of operations and cash flows, the following should be read in conjunction with the more complete discussion of the risk factors we face, which are set forth in the section entitled "Risk Factors" in Part I, Item 1A in this Form 10-K. iv Ta...”
• “Our go-to-market intelligence platform empowers businesses with AI-ready insights, trusted data, agent-assisted selling and advanced automation providing sales, marketing, operations, and recruiting professionals accurate information and insights on the organizations and professionals they target.”
• “We are able to deliver high-quality intelligence at scale by leveraging an artificial intelligence ("AI") and machine learning ("ML") powered engine that gathers billions of data points about companies and contact information from millions of sources and standardizes, matches to entities, verifies, cleans, and applies the processed data to companies and people.”
• “This is accomplished through a combination of robust systems and processes leveraging AI, ML, and our proprietary human-in-the-loop approach.”
• “Our Data Engine We deliver high-quality intelligence at scale by leveraging an AI and ML-powered engine that gathers data from millions of sources and standardizes, matches to entities, verifies, cleans, and applies the processed data to companies and people.”

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 20215median 0
• Fiscal 20224median 0
• Fiscal 202322median 1
• Fiscal 202440median 4
• Fiscal 202553median 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 U.S. share is not stated apart from North America (rule 7, as Cognizant's).
• The data service's segment table (Subscription and Circulation 100%) is not a segment table and was not used.

Source: the company's annual report on EDGAR, accession 0001794515-26-000012, 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.