DraftKings Inc. (DKNG)
Online sportsbook and gaming operator, technology-led. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 13, 2026. Ranked 55 of the 184 Consumer Cyclical companies read so far, by the share within reach now.
Within reach now
23%
End of 2028
53%
Employees, annual report
5,500
Leading staffing pattern
Software Publishers
Share of the working time within reach, long-run pace, four times in five
- Now23%
- End of 202744%
- End of 202853%
- End of 203057%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 45%
- Becomes checking a model's work 43%
- Handed over with lighter checks 8%
DraftKings’ over 5,500 employees in thirteen countries build the technology and run the operations of an online sportsbook and casino, split by description.
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: 23% now, 44% at the end of 2027, 53% at the end of 2028, 57% at the end of 2030. By the patterns, the work is about 57% desk work, 21% people work and 22% 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 45% of the working time stays with people (conversation, in-person and hands-on work), 43% becomes checking a model's work and 8% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
5,500 employees as of December 31, 2025 (stated). The filing counts no employees by country; employees are in thirteen countries and 97% of revenue is in the United States.
The filing: “As a multinational technology company with over 5,500 employees located in thirteen countries, our business success is driven by our highly skilled workforce.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Software Publishers | 60% | By description (c): the in-house technology, product and data science teams that build the sports betting and gaming platforms the filing describes as owned technology, software work. |
| Gambling Industries | 40% | By description (c): the gaming operations, trading, customer support and compliance work of an online sportsbook and casino operator, gambling industries. |
What the filing says about the workforce: Over 5,500 employees in thirteen countries; most full-time employees receive an equity award at hire; the series rose from 2,600 in 2020.
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.
- Microsoft (MSFT, 223,000 employees)25% now, 69% by 2028
- Oracle (ORCL, 141,000 employees)26% now, 69% by 2028
- Salesforce, Inc. (CRM, 83,334 employees)25% now, 69% by 2028
- Uber Technologies, Inc. (UBER, 34,000 employees)29% now, 67% by 2028
- DoorDash, Inc. (DASH, 31,400 employees)29% now, 67% by 2028
- Adobe Inc. (ADBE, 31,360 employees)25% now, 69% by 2028
- ServiceNow, Inc. (NOW, 29,187 employees)25% now, 69% by 2028
- Synopsys, Inc. (SNPS, 28,000 employees)25% now, 69% by 2028
What the filing says about AI
18 sentences in the filing name AI. The filing names AI 18 times: data science, machine learning and AI in its products to optimize conversion, and the risks of managing them.
- “Across our product offerings, we have endeavored to own the technology in-house for any critical component and to utilize a combination of technologies, including data science and machine learning, to optimize conversion and efficiency.”
- “Across our product offerings, we actively use data science and machine learning to help optimize conversion and monetization.”
- “We use artificial intelligence, machine learning, data science and similar technologies in our business, and challenges with properly managing such technologies could result in reputational harm, competitive harm and legal liability, and adversely affect our results of operations.”
- “We use artificial intelligence (including generative artificial intelligence), machine learning, data science and similar technologies (collectively, "AI") in our technology and infrastructure, which may become more important in our operations over time.”
- “Our competitors or other third parties may incorporate AI in a similar or different manner, and may do so more quickly or more successfully than us, which could impair our ability to compete effectively and adversely affect our results of operations.”
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.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2025-12-31 | 5,500 | 2026-02-13 | 10-K |
| 2024-12-31 | 5,100 | 2025-02-14 | 10-K |
| 2023-12-31 | 4,400 | 2024-02-16 | 10-K |
| 2022-12-31 | 4,200 | 2023-02-17 | 10-K |
| 2021-12-31 | 3,400 | 2022-02-18 | 10-K |
| 2020-12-31 | 2,600 | 2021-02-26 | 10-K |
| 2019-12-31 | 2 | 2020-03-12 | 10-K |
Limits of this reading
- No count by function; the split between the technology work and the gaming operations is by description.
- The total is stated as over 5,500, a rounded figure.
Source: the company's annual report on EDGAR, accession 0001883685-26-000013, 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 DraftKings 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 DraftKings Inc.'s working time is within reach of AI?
- An estimated 23% now and 53% by the end of 2028, on METR's long-run pace at four in five, from the workforce DraftKings 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 DraftKings Inc. employ?
- 5,500 as of December 31, 2025, as its annual report for the period ending December 31, 2025 states.
- What kinds of work make up DraftKings Inc.'s workforce?
- Read from its annual report as a blend of 2 industry staffing patterns, the largest Software Publishers; by those patterns the work is about 57% desk work, 21% people work and 22% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does DraftKings Inc.'s annual report say about AI?
- 18 sentences in the filing name AI. Its annual reports for fiscal 2022 to 2025 name it in 2, 10, 15 and 18 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.