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STRATUSWORKFORCE SCAN

Ziff Davis, Inc. (ZD)

Digital media publisher with software and data. Read November 8, 2026 from the annual report for the period ending December 31, 2025, filed February 24, 2026. Ranked 14 of the 51 Communication Services companies read so far, by the share within reach now.

Within reach now

51%

projected from METR's April 2026 measurement and Epoch's November 2026 index

End of 2028

70%

Employees, annual report

3,900

Leading staffing pattern

Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers

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.

  • Now51%
  • End of 202766%
  • End of 202870%
  • End of 203071%

What changes for its people by the end of 2028, by its industries' figures

  • Stays with people 28%
  • Becomes checking a model's work 60%
  • Handed over with lighter checks 10%

Ziff Davis states about 3,900 employees, 55% in the U.S., across five segments counted nowhere by people; its publishing segments lead at internet publishing, with cybersecurity and marketing software at software publishers and the Ookla connectivity data business at data processing, by segment revenue.

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, 66% at the end of 2027, 70% at the end of 2028, 71% at the end of 2030. By the patterns, the work is about 71% desk work, 22% people work and 6% 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 28% of the working time stays with people (conversation, in-person and hands-on work), 60% becomes checking a model's work and 10% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

3,900 employees as of December 31, 2025 (stated). 55% of employees are U.S. based and 45% non-U.S. based, the filing states.

The filing: “As of December 31, 2025, we had approximately 3,900 employees, 55% of whom are U.S. based employees and 45% non-U.S based employees.”

The workforce as industry patterns

PatternShareReason, from the filing
Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers66%By segment revenue (c): the Health and Wellness (28%), Technology and Shopping (25%) and Gaming and Entertainment (13%) segments publish digital content and commerce sites such as Everyday Health, PCMag, RetailMeNot and IGN, internet publishing, NAICS 516210 in the 5162 group.
Software Publishers19%By segment revenue (c): the Cybersecurity and Martech segment (19%) sells VPN, security and marketing software by subscription, software publishers, NAICS 5132.
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services15%By segment revenue (c): the Connectivity segment (16%), Ookla's Speedtest, Downdetector and network data businesses, data processing and related services, NAICS 5182.

What the filing says about the workforce: About 3,900 employees, 55% U.S. based; a network of acquired businesses with their own micro-cultures; benefits cover about 80% of U.S. health premiums; no hourly, part-time or union counts.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers, 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.

What the filing says about AI

25 sentences in the filing name AI. The filing names AI in 25 sentences, mostly as risks: the unauthorized use of its content by developers and users of generative AI, AI-based cybersecurity threats it may not keep pace with, and attacks that employ AI and machine learning such as deepfakes and adaptive malware.

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

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.

PeriodEmployeesFiledFiling
2025-12-313,9002026-02-2410-K
2024-12-313,8002025-02-2510-K
2023-12-314,2002024-02-2610-K
2022-12-314,4002023-03-0110-K
2021-12-314,9002022-03-1510-K
2020-12-314,7002021-03-0110-K
2019-12-313,0902020-03-0210-K
2018-12-312,5872019-03-0110-K
2017-12-312,4872018-03-0110-K
2016-12-312,4262017-03-0110-K
2015-12-311,6082016-02-2910-K
2014-12-311,4102015-03-0210-K
2013-12-311,1302014-03-0310-K
2012-12-316802013-03-0110-K
2011-12-316002012-02-2810-K
2010-12-316002011-02-2810-K
2009-12-314002010-02-2310-K
2008-12-314002009-02-2510-K
2007-12-314102008-02-2510-K
2006-12-313412007-03-1210-K
2005-12-312882006-03-2710-K
2004-12-312022005-03-2810-K
2003-12-311752004-03-1510-K
2002-12-31not read2003-03-3110-K
2001-12-31not read2002-04-0110-K405
2000-12-3132001-04-0210-K405
1999-12-31not read2000-03-3010-K405

Limits of this reading

Source: the company's annual report on EDGAR, accession 0001084048-26-000005, 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 Ziff Davis, 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 Ziff Davis, Inc.'s working time is within reach of AI?
An estimated 51% now and 70% by the end of 2028, on METR's long-run pace at four in five, from the workforce Ziff Davis, 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 Ziff Davis, Inc. employ?
3,900 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states. About 55% in the U.S.
What kinds of work make up Ziff Davis, Inc.'s workforce?
Read from its annual report as a blend of 3 industry staffing patterns, the largest Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers; by those patterns the work is about 71% desk work, 22% people work and 6% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does Ziff Davis, Inc.'s annual report say about AI?
25 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 9, 11 and 25 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.
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