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The Workforce AI Index · Consumer Defensive

Dollar General (DG)

Small-format stores read by description. Read October 1, 2026 from the annual report for the period ending 2026-01-30, filed 2026-03-20. Ranked 5 of the 16 Consumer Defensive companies read so far, by the share within reach now: the sector.

The filing states one total and lists the kinds of employees without counts, so the store and distribution patterns follow the 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: 21% now, 24% at the end of 2027, 25% at the end of 2028, 25% at the end of 2030. By the patterns, the work is about 25% desk work, 19% people work and 56% 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 75% of the working time stays with people (conversation, in-person and hands-on work), 12% becomes checking a model's work and 13% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

194,000 employees as of 2026-02-27 (stated). The filing does not state a count by country; it names international offices beside its stores, distribution centers, private fleet and store support center.

The filing: “As of February 27, 2026, we employed approximately 194,000 full-time and part-time employees, including divisional and regional managers, district managers, store managers, other store employees, and distribution center, fleet and administrative employees.”

The workforce as industry patterns

PatternShareReason, from the filing
General Merchandise Retailers90%By (c): the filing lists store employees first among the kinds it employs and describes a chain of small-format general merchandise stores, with no headcount by kind, so the store share is read from the description.
Warehousing and Storage10%By (c): distribution center and private fleet employees are named without a count, so a tenth of the workforce is read into the warehousing pattern by description, the fleet folded in for lack of a count.

What the filing says about the workforce: About 194,000 full-time and part-time employees as of February 27, 2026, across stores, distribution centers, the private fleet, the store support center and international offices.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also General Merchandise Retailers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

What the filing says about AI

5 sentences in the filing name AI. AI appears in the risk factors, as risks in the continued integration of artificial intelligence and machine learning within its systems and as a policy area that may affect it; the human capital section does not mention it.

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
2026-01-30194,0002026-03-2010-K
2025-01-31194,2002025-03-2110-K
2024-02-02185,8002024-03-2510-K
2023-02-03170,0002023-03-2410-K
2022-01-28163,0002022-03-1810-K
2021-01-29158,0002021-03-1910-K
2020-01-31143,0002020-03-1910-K
2019-02-01135,0002019-03-2210-K
2018-02-02129,0002018-03-2310-K
2017-02-03121,0002017-03-2410-K
2016-01-29113,4002016-03-2210-K
2015-01-30105,5002015-03-2010-K
2014-01-31100,6002014-03-2010-K
2013-02-0190,5002013-03-2510-K
2012-02-0390,0002012-03-2210-K
2011-01-2885,9002011-03-2210-K
2010-01-2979,8002010-03-3110-K
2009-01-3072,5002009-03-2410-K
2008-02-0171,5002008-03-2810-K
2007-02-0269,5002007-03-2910-K
2006-02-0364,5002006-03-2110-K
2005-01-2863,2002005-04-1210-K
2004-01-3057,8002004-03-1610-K
2003-01-3153,5002003-03-1910-K
2001-12-3148,0002002-04-0210-K
2001-02-0245,0002002-01-1410-K
2000-01-2834,6002000-04-2710-K
1999-01-2929,8201999-04-2610-K
1998-01-3027,4001998-04-2010-K
1997-01-3125,4001997-04-2810-K
1996-01-3122,0001996-04-2910-K
1995-01-3118,0001995-05-0110-K

Limits of this reading

Source: the company's annual report on EDGAR, accession 0001104659-26-032325, 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.

Questions about this company

How much of Dollar General's working time is within reach of AI?
An estimated 21% now and 25% by the end of 2028, on METR's long-run pace at four in five, from the workforce Dollar General'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 Dollar General employ?
194,000 as of February 27, 2026, as its annual report for the period ending January 30, 2026 states.
What kinds of work make up Dollar General's workforce?
Read from its annual report as a blend of 2 industry staffing patterns, the largest General Merchandise Retailers; by those patterns the work is about 25% desk work, 19% people work and 56% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
What does Dollar General's annual report say about AI?
5 sentences in the filing name AI. 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 1, 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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