Zebra Technologies Corporation (ZBRA)
Barcode printers, scanners and mobile computers, 44% U.S. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 12, 2026. Ranked 88 of the 135 Technology companies read so far, by the share within reach now.
Within reach now
21%
End of 2028
57%
Employees, annual report
10,700
Leading staffing pattern
Computer and Peripheral Equipment Manufacturing
Share of the working time within reach, long-run pace, four times in five
- Now21%
- End of 202745%
- End of 202857%
- End of 203062%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 38%
- Becomes checking a model's work 49%
- Handed over with lighter checks 7%
Zebra states approximately 10,700 employees globally at December 31, 2025, a majority in sales and technical roles, 44% in the U.S. and 2,790 of them engineers, making and selling enterprise mobile computers, printers and scanners with no count by segment, so one pattern takes the whole workforce at computer and peripheral equipment 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: 21% now, 45% at the end of 2027, 57% at the end of 2028, 62% at the end of 2030. By the patterns, the work is about 62% desk work, 19% people work and 19% 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 38% of the working time stays with people (conversation, in-person and hands-on work), 49% becomes checking a model's work and 7% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
10,700 employees as of December 31, 2025 (stated). The filing states 44% of its employee population residing in the U.S., across 57 countries.
The filing: “Human Capital As of December 31, 2025, the Company had approximately 10,700 employees globally, with a majority in sales and technical roles.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Computer and Peripheral Equipment Manufacturing | 100% | The filing describes enterprise mobile computers, barcode printers, scanners and RFID readers made and sold by a workforce mostly in sales and technical roles, 2,790 of them engineers, with no count by segment, so one pattern takes the whole workforce at computer and peripheral equipment by description (c). |
What the filing says about the workforce: A majority in sales and technical roles; approximately 2,790 engineers and innovation and design experts, a function count kept inside; 129 facilities in 57 countries; no union share is stated.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Computer and Peripheral Equipment Manufacturing, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Apple (AAPL, 166,000 employees)25% now, 53% by 2028
- Dell Technologies Inc. (DELL, 97,000 employees)22% now, 58% by 2028
- Hewlett Packard Enterprise Company (HPE, 67,000 employees)22% now, 57% by 2028
- HP Inc. (HPQ, 55,000 employees)21% now, 57% by 2028
- Western Digital Corporation (WDC, 40,000 employees)21% now, 57% by 2028
- Seagate Technology Holdings plc (STX, 30,000 employees)21% now, 57% by 2028
- Xerox Holdings Corporation (XRX, 22,900 employees)23% now, 50% by 2028
- NetApp, Inc. (NTAP, 11,700 employees)22% now, 58% by 2028
What the filing says about AI
24 sentences in the filing name AI. The filing names AI among the secular trends driving workflow transformation, on-device and cloud-based AI augmenting frontline worker productivity, and AI streamlining frontline workflows with vision, audio, location and RFID.
- “The need to transform workflows is being driven by secular trends in technology, which include the creation of digital twins, cloud-based data analytics, automation, mobility, computer vision, artificial intelligence and machine learning.”
- “Additionally, artificial intelligence is further streamlining frontline workflows by providing insights and delivering actions using on-device vision, audio, location and RFID to automate parts of traditional workflows.”
- “Leveraging a combination of on-device and cloud-based AI, smart context-aware software companions are beginning to augment worker productivity, providing real-time assistance to get work done more quickly and accurately.”
- “Connected Frontline The Connected Frontline segment is focused on unifying teams, customers, and AI agents to deliver enhanced frontline experiences.”
- “These offerings are typically delivered through cloud-based software subscriptions and leverage big data, artificial intelligence, and mobile and web applications to provide customers with real-time visibility and actionable insights about their business.”
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 20216median 0
- Fiscal 20223median 0
- Fiscal 202312median 1
- Fiscal 202417median 4
- Fiscal 202524median 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 |
|---|---|---|---|
| 2025-12-31 | 10,700 | 2026-02-12 | 10-K |
| 2024-12-31 | 9,900 | 2025-02-13 | 10-K |
| 2023-12-31 | 9,750 | 2024-02-15 | 10-K |
| 2022-12-31 | 10,500 | 2023-02-16 | 10-K |
| 2021-12-31 | 9,800 | 2022-02-10 | 10-K |
| 2020-12-31 | 8,800 | 2021-02-11 | 10-K |
| 2019-12-31 | 8,200 | 2020-02-13 | 10-K |
| 2018-12-31 | 7,400 | 2019-02-14 | 10-K |
| 2017-12-31 | 7,000 | 2018-02-22 | 10-K |
| 2016-12-31 | 6,500 | 2017-02-27 | 10-K |
| 2015-12-31 | 7,000 | 2016-02-29 | 10-K |
| 2014-12-31 | 6,800 | 2015-03-17 | 10-K |
| 2013-12-31 | 2,583 | 2014-02-20 | 10-K |
| 2012-12-31 | 2,544 | 2013-02-21 | 10-K |
| 2011-12-31 | 2,510 | 2012-02-23 | 10-K |
| 2010-12-31 | 2,750 | 2011-02-24 | 10-K |
| 2009-12-31 | 2,700 | 2010-02-23 | 10-K |
| 2008-12-31 | 3,200 | 2009-02-27 | 10-K |
| 2007-12-31 | 3,200 | 2008-02-29 | 10-K |
| 2006-12-31 | 2,800 | 2007-03-01 | 10-K |
| 2005-12-31 | 2,500 | 2006-02-28 | 10-K |
| 2004-12-31 | 2,300 | 2005-03-03 | 10-K |
| 2003-12-31 | 2,200 | 2004-02-27 | 10-K |
| 2002-12-31 | 2,000 | 2003-03-04 | 10-K |
| 2001-12-31 | 149 | 2002-03-26 | 10-K405 |
| 2000-12-31 | 142 | 2001-03-20 | 10-K |
| 1999-12-31 | 131 | 2000-03-09 | 10-K |
| 1998-12-31 | not read | 1999-03-31 | 10-K |
| 1997-12-31 | not read | 1998-03-26 | 10-K |
| 1996-12-31 | not read | 1997-03-31 | 10-K |
Limits of this reading
- No count by segment or kind of work beyond the engineers: the one pattern is by description (c); the data service's segment table is for fiscal 2024.
Source: the company's annual report on EDGAR, accession 0001628280-26-007668, 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 Zebra Technologies Corporation, $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 Zebra Technologies Corporation's working time is within reach of AI?
- An estimated 21% now and 57% by the end of 2028, on METR's long-run pace at four in five, from the workforce Zebra Technologies Corporation'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 Zebra Technologies Corporation employ?
- 10,700 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states. About 44% in the U.S.
- What kinds of work make up Zebra Technologies Corporation's workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Computer and Peripheral Equipment Manufacturing; by those patterns the work is about 62% desk work, 19% people work and 19% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does Zebra Technologies Corporation's annual report say about AI?
- 24 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 6, 3, 12, 17 and 24 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 October 19, 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
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.