Two reports published in the first two weeks of October 2026 — a Federal Reserve Bank of New York analysis of small-business owners and a U.S. Chamber of Commerce survey — point the same direction. **Small businesses already using AI report a meaningfully higher net-positive outlook on hiring over the next year than businesses that haven't adopted it, and the gap is widest among firms in the weakest financial shape — the opposite of the layoff story most owners expect when AI and jobs come up in the same sentence.**
Do Small Businesses Using AI Actually Expect to Hire More People?
Yes, according to the Fed's own numbers. The New York Fed's Liberty Street Economics blog published an analysis on October 8, 2026, built on the 2025 Small Business Credit Survey — 5,248 employer firms fielded September through November 2025 (NY Fed, 2026). 46% of firms reported already using AI tools, with another 15% planning to adopt within 12 months. Among current users, 63% called AI somewhat or very important to production and 51% had partially or fully integrated it into how they operate. The employment numbers are the real finding: AI users had a 33-percentage-point net-positive expectation of higher employment over the next year, versus 15 points for non-users — an 18-point raw gap. After the authors controlled for owner age, profitability, firm size, and past employment changes, AI users still held a 10-point advantage (NY Fed, 2026). Revenue expectations showed an even wider gap: 48 points net-positive for AI users versus 21 for non-users, narrowing to a still-sizable 14 points after controls.
Does the Chamber of Commerce's Data Agree, or Is This One Outlier Survey?
It agrees, from a different angle entirely. The U.S. Chamber of Commerce's 2026 Empowering Small Business Report, the fifth edition of the study, found two-thirds of small businesses (66%) now use AI, up from 23% in 2023 — adoption has nearly tripled in three years (U.S. Chamber of Commerce, 2026). On the jobs question specifically: four times as many AI-using small businesses say the technology is creating permanent jobs at their firm (25%, and 47% say it's creating jobs in a broader sense) than say it's letting them cut headcount (6%). Separately, small businesses using AI were 10% more likely to have actually added headcount in the past year than peers who hadn't adopted it (U.S. Chamber of Commerce, 2026). Two different organizations, two different survey instruments, fielded at different times of 2025 and 2026, landing on the same conclusion from different directions.
| The common assumption | What the October 2026 data actually shows |
|---|---|
| Adopting AI means cutting staff | AI users report a 33-point net-positive hiring outlook vs. 15 points for non-users (NY Fed, 2026) |
| Only already-strong, growing firms benefit | The hiring-outlook gap is widest — 21 points — among firms in fair or poor financial condition (NY Fed, 2026) |
| Businesses are quietly using AI to shrink headcount | 47% of AI-using small businesses say it's creating jobs; 6% say it's enabling cuts (U.S. Chamber of Commerce, 2026) |
| Receptionist and admin roles are disappearing from job postings | AI-related terms are spreading into customer service and administrative postings as a skill, not replacing the category (Indeed Hiring Lab, 2026) |
Why Would Using AI Correlate With Hiring More, Not Less?
The Fed researchers' own explanation for the strongest part of their finding is the most useful piece of it: the hiring-outlook advantage was largest, at 21 points, specifically among firms reporting fair or poor financial condition — not the firms already doing best (NY Fed, 2026). That cuts against the simplest read of this data, which would be that healthy, growing firms adopt AI and keep growing while AI has nothing to do with it. Instead, the pattern suggests AI is disproportionately helping the businesses that needed help most — firms that were capacity-constrained, not firms that already had room to spare. Indeed Hiring Lab's own tracking backs up the mechanism from a different data source entirely: AI-related terms in U.S. job postings outside tech occupations roughly tripled, from 264 distinct job titles in 2022 to 822 by the first quarter of 2026, with customer service and administrative roles explicitly named among the categories where this is happening (Indeed Hiring Lab, 2026). That's AI showing up as a skill requirement added to existing roles, not a line through the job title.
Montana's labor market has run tight for most of 2026 — unemployment near record lows and real difficulty finding staff for almost every trade. In that environment, a tool that makes a business more confident it can handle more volume without first finding and training a new hire isn't a cost-cutting story. It's a capacity story for an owner who may not be able to find that hire even if they wanted to.
When Does AI Actually Reduce Headcount at a Small Business?
Say it plainly, because the data above doesn't mean zero. The Chamber's own numbers show 6% of AI-using small businesses do report using it to reduce headcount — a real minority, not zero. And the Fed researchers are explicit about a limit of their own study: they measured expectations, not outcomes. Their own write-up states that whether AI-adopting firms actually experience the stronger employment and revenue results they expect "is a subject for future research" (NY Fed, 2026) — this is a survey of what owners currently believe will happen, not a confirmed record of what did happen. The pattern that does hold up across both this data and ordinary experience: a role that was already 100% repetitive and single-purpose — pure data entry, a phone line that only ever took a message — is the kind of role AI genuinely narrows. A role that mixes judgment calls, relationship-building, and handling whatever comes up isn't what either of these surveys is describing getting cut.