Gen Digital Inc. (GEN)
Consumer cyber safety software, 36% U.S. Read November 8, 2026 from the annual report for the period ending April 3, 2026, filed May 21, 2026. Ranked 55 of the 238 Technology 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
73%
Employees, annual report
3,900
Leading staffing pattern
Software Publishers
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 202768%
- End of 202873%
- End of 203075%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 25%
- Becomes checking a model's work 63%
- Handed over with lighter checks 10%
Gen Digital states about 3,900 team members in more than 20 countries, over 1,400 in the United States and nearly 800 in the Czech Republic, making consumer cyber safety software read whole at software publishers.
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, 75% at the end of 2030. By the patterns, the work is about 75% desk work, 23% people work and 2% 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 25% of the working time stays with people (conversation, in-person and hands-on work), 63% 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 April 3, 2026 (stated). Over 1,400 active employees in the United States and nearly 800 in the Czech Republic of about 3,900, so about 36% in the U.S.
The filing: “As of April 3, 2026, we employed approximately 3,900 team members across more than 20 countries.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Software Publishers | 100% | By description (c): consumer cyber safety software and services (Norton, Avast, LifeLock) sold by subscription from dual headquarters in Tempe and Prague, with the MoneyLion financial platform inside for want of a count, read whole at software publishers, NAICS 5132, the SIC 7372 business. |
What the filing says about the workforce: About 3,900 team members in more than 20 countries, over 1,400 in the United States and nearly 800 in the Czech Republic; no U.S. union representation; the count rose from 3,500 with the MoneyLion acquisition; fiscal year ends early April.
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
69 sentences in the filing name AI. The filing names AI in 69 sentences: risks in developing and deploying AI including generative AI and AI-enabled cyber threats, advances in AI expanding how consumers transact online, and cybercriminals using generative AI systems and AI agents for scams, fraud and attacks.
- “Issues in the development and deployment of AI, including generative AI and emerging AI-enabled cyber threats, could expose us to regulatory, privacy, IP, cybersecurity, operational and reputational risks.”
- “Advances in cloud computing, mobile platforms, and artificial intelligence (AI) have expanded how consumers interact and transact online, and we expect technological advancements to continue to unlock new possibilities.”
- “Cybercriminals are combining long-standing techniques such as phishing, vishing and smishing with data-driven social engineering, deepfakes, account-takeover attacks and abuse of generative-AI systems and AI agents to execute increasingly sophisticated scams, fraud and other attacks that target people's identities, privacy and finances.”
- “Securing Digital Lives: Extending and deepening our leadership in cyber safety by leveraging technology innovation to protect consumers, families, and small businesses against an evolving and increasingly sophisticated threat landscape, including emerging risks from AI-generated scams, deepfakes, and agentic threats, while delivering proactive, personalized safety companion across devices, brow...”
- “Scaling Gen's AI-Powered Platform Delivering a Trust Layer: Connecting our ecosystem of brands, products, and partners through a unified data and AI infrastructure to deliver personalized, proactive, and increasingly automated experiences - closing the gap between what AI can do and what consumers trust it to do.”
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 20229median 0
- Fiscal 202322median 1
- Fiscal 202446median 4
- Fiscal 202569median 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.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2026-04-03 | 3,900 | 2026-05-21 | 10-K |
| 2025-03-28 | 3,500 | 2025-05-15 | 10-K |
| 2024-03-29 | 3,400 | 2024-05-16 | 10-K |
| 2023-03-31 | 3,700 | 2023-05-25 | 10-K |
| 2022-04-01 | 2,700 | 2022-05-20 | 10-K |
| 2021-04-02 | 2,800 | 2021-05-21 | 10-K |
| 2020-04-03 | 3,600 | 2020-05-28 | 10-K |
| 2019-03-29 | 11,900 | 2019-05-24 | 10-K |
| 2018-03-30 | 11,800 | 2018-10-26 | 10-K |
| 2017-03-31 | 13,000 | 2017-05-19 | 10-K |
| 2016-04-01 | 11,000 | 2016-05-20 | 10-K |
| 2015-04-03 | 19,000 | 2015-05-22 | 10-K |
| 2014-03-28 | 20,800 | 2014-05-16 | 10-K |
| 2013-03-29 | 21,500 | 2013-05-17 | 10-K |
| 2012-03-30 | 20,500 | 2012-05-21 | 10-K |
| 2011-04-01 | 18,600 | 2011-05-20 | 10-K |
| 2010-04-02 | 17,400 | 2010-05-24 | 10-K |
| 2009-04-03 | 17,400 | 2009-06-01 | 10-K |
| 2008-03-28 | 17,600 | 2008-05-21 | 10-K |
| 2007-03-30 | 17,100 | 2007-05-24 | 10-K |
| 2006-03-31 | 16,000 | 2006-06-09 | 10-K |
| 2005-04-01 | 6,500 | 2005-06-15 | 10-K |
| 2004-04-02 | 5,300 | 2004-06-14 | 10-K |
| 2003-03-28 | 4,300 | 2003-06-16 | 10-K |
| 2002-03-29 | 3,900 | 2002-06-14 | 10-K |
| 2001-03-30 | 3,800 | 2001-06-22 | 10-K |
| 2000-03-31 | 2,600 | 2000-06-26 | 10-K |
Limits of this reading
- The MoneyLion consumer finance platform acquired in 2025 has no count of its own and stays inside the software pattern; the data service's segment labels are not the filing's segments.
Source: the company's annual report on EDGAR, accession 0000849399-26-000017, 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 Gen Digital 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 Gen Digital Inc.'s working time is within reach of AI?
- An estimated 51% now and 73% by the end of 2028, on METR's long-run pace at four in five, from the workforce Gen Digital 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 Gen Digital Inc. employ?
- 3,900 as of April 3, 2026, as its annual report for the period ending April 3, 2026 states. About 36% in the U.S.
- What kinds of work make up Gen Digital Inc.'s workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Software Publishers; by those patterns the work is about 75% desk work, 23% people work and 2% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Gen Digital Inc.'s annual report say about AI?
- 69 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 9, 22, 46 and 69 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.
Embed these figures on your site
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