US Firm-Level AI Adoption Hovers Near 20%, Census Data Shows — With Wide Gaps by Firm Size

What the Census Bureau Actually Measured

Enterprise AI adoption gets described in sweeping terms — “AI is everywhere” or, alternately, “adoption has stalled” — but the most systematic measurement of the trend comes from an unglamorous source: the US Census Bureau’s Business Trends and Outlook Survey (BTOS), a biweekly, nationally representative poll of business conditions that added AI-specific questions in recent survey cycles.

According to a Census Bureau analysis published May 26, 2026 and authored by Census researchers Adam Grundy, Cory Breaux and Dhanapati Khatiwoda, BTOS data collected between December 14, 2025 and May 3, 2026 shows overall AI usage hovering between 17% and 20% of surveyed firms, while 20-23% of businesses said they expected to be using AI within the next six months. The survey asks two distinct questions — whether a business used AI in the past two weeks, and whether it expects to use AI in the next six months — and the Bureau revised its question wording in November 2025 to capture AI use “in any business function,” a broader framing than the original wording, which asked only about AI used “in producing goods or services.”

The Real Story Is the Size Gap

The headline national number obscures a sharp divide by company size. Per the same Census analysis, 37% of firms with at least 250 employees reported using AI in their business operations, while firms with 100 to 249 employees reported 32% usage as of the survey period ending May 3, 2026. Usage climbed among firms with at least 20 employees over the December-to-May window, but did not change significantly among smaller businesses — and fewer than 20% of firms with four or fewer employees reported any AI use at all.

Sector data tells a similar story of concentration. As of May 3, 2026, the Information sector reported a 39.7% AI use rate and Finance and Insurance reported 33.9%, both comfortably above the 19.8% national rate recorded that week — while adoption in many other sectors stayed comparatively flat over the same six-month window, with no statistically significant change in expected future use either.

Why the Gap Matters More Than the Average

A single national adoption percentage flattens a genuinely bimodal reality: AI use is now common practice inside large, well-resourced firms in information-heavy and finance-heavy sectors, and still a minority activity everywhere else — especially among the smallest businesses, which make up the overwhelming majority of firms in any economy. That pattern has held steady rather than converged over the six months of data Census reviewed, suggesting the gap is structural rather than a temporary lag that will close on its own as smaller firms “catch up.”

The practical implication is that policy and infrastructure conversations framed around a single national adoption number risk missing where the real friction is: not whether AI works, which large-firm adoption above one-third suggests it increasingly does for well-resourced organizations, but whether the tools, capital and skills needed to adopt it are reaching smaller firms and less digitized sectors at all.

What This Means for Algerian Businesses and Policymakers

Algeria is not the US economy, but the shape of this adoption curve — concentrated in large firms and specific sectors, largely absent in small business — is a pattern Algerian policymakers should expect to see locally, and can plan for in advance rather than discover after the fact.

1. Expect adoption to concentrate in large firms and specific sectors first — plan support programs accordingly

If the pattern holds in Algeria as it has in the US, state-owned enterprises, banks, telecoms and larger private groups will adopt AI tools well ahead of the country’s dominant population of small and medium enterprises. Algeria Venture and other SME-support bodies should treat AI-adoption assistance as a distinct program for small firms, not an assumption that large-firm adoption will trickle down unaided.

2. Track adoption with a real survey instrument, not anecdote

The US only has a clear picture of this gap because BTOS asks a large, representative sample of firms a consistent question every two weeks. Algeria’s statistical agencies (ONS) and the Ministry of Post and Telecommunications could build a comparable lightweight, recurring business survey module — even quarterly rather than biweekly — to know where Algerian AI adoption actually stands rather than relying on vendor claims or one-off surveys.

3. Don’t mistake large-firm adoption for economy-wide readiness

A national narrative built on the success stories of Sonatrach, Bank of Algeria-regulated banks or major telecom operators adopting AI tools would badly overstate how ready the broader Algerian small-business economy is. Digital-transformation funding and training programs should be sized and targeted with this gap explicitly in mind, particularly for micro-enterprises that make up the bulk of Algerian firms.

Frequently Asked Questions

Sources & Further Reading

• Large Firms With at Least 20 Employees Biggest AI Users — US Census Bureau
• Census Bureau Business Trends and Outlook Survey working paper — CES-WP-26-25