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Loyalty payroll: Small business owners are choosing employees over AI

August 11, 2026 Written by Careerminds

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On the surface, adopting AI looks like an obvious business move. If AI can do a job faster and cheaper than a person, the reasoning goes, businesses will switch sooner or later.

However, our latest survey found that 61% of owners said they had delayed introducing AI because they were concerned about how it could affect their employees.

The owner of a five-person shop isn’t reviewing headcount on a spreadsheet from three floors up. They know the people involved.  And examples such as this are what make automation such a loaded decision for small business owners.

What we did

Our Loyalty Payroll report surveyed 3,022 U.S. small business owners across the USA about AI, automation, and the people on their payroll. The findings reveal how many owners are keeping employees whose work AI could do at a more cost-effective level, what’s keeping those workers in place, and how long business owners expect to withhold that position.

a graph showing the number of workers per each U.S. state that could be replaced by AI

Key Findings

AI is already present in most small businesses 

Across the country, 61% of bosses admit AI could do part of the workload. It’s a sign that AI has stopped being a novelty. Small business owners can now point to real parts of their operation where it would slot in. For most, the near-term picture isn’t mass layoffs. It’s AI quietly picking off individual tasks, trimming workloads, or letting a business grow without adding another salary.

Employers cite loyalty as key reason for not automating their workforce

The most common reason small business owners gave for keeping an employee over AI was simple loyalty, cited by 33%. Another 17% said they would hold back because someone had been with them a long time. The most common reason small business owners gave for keeping an employee over AI was simple loyalty, cited by 33%. Another 17% said they would hold back because someone had been with them a long time, while 13% pointed to institutional knowledge that would be difficult to replace. Roughly one in eight business owners cited a sense of personal responsibility for the employee’s financial wellbeing (12%) or customers’ relationships with that employee (12%). Notably, practical concerns ranked lowest: just 9% said AI isn’t yet reliable enough, and only 4% worried about the disruption of implementing it.

Put those together and half of all employers pointed to loyalty or tenure rather than any technical shortcoming in the software. In a small firm, an employee might have been there from the beginning, worked through the lean years, or picked up jobs that were never in any contract. Replacing that person doesn’t feel like streamlining a process. It feels like going back on your word.

Small business owners are already saying no to tools that would help them 

This isn’t just about how owners feel. It’s changing what they actually buy. 61% said they have held off on bringing in more AI integration because of how it might affect their staff. A near-identical 59% had rejected a specific tool because it could cost someone their job. In other words, some businesses are knowingly running slower or paying more to keep people employed. They are not rejecting AI outright, but they are deciding how far and how fast it gets to go.

Long-serving employees were the group small business owners were most reluctant to replace, named by 28%. Workers close to retirement came next at 22%, followed by employees with families or dependents at 20%. Another 15% were most protective of the people who have helped build the business. 

That tells you owners aren’t ranking staff purely on output. They’re also weighing up how much a job loss would hurt the person, and whether the business owes them more than one final paycheck.

Small business owners think they are held to a different standard 

75% said small-business owners carry more personal responsibility toward their staff than big companies do when it comes to AI. A lot of that comes down to distance. A large corporation can file job cuts under restructuring or productivity or shareholder value. A small-business owner usually has to look the person in the eye and explain it. That closeness doesn’t make the commercial pressure disappear. It just makes the fallout impossible to look away from.

Loyalty has a ceiling

47% of owners said jobs should be protected wherever it’s reasonable to do so. A further 31% said employers should protect jobs even when it costs them profit. But only 10% said they would keep someone on indefinitely if AI could do most of their job for less. Another 23% would hold on for as long as the business could manage it. That phrase – “as long as the business could manage” – is the catch. Loyalty can buy an employee time. It can’t outrun falling revenue, rising costs, or a competitor that’s using AI harder and cheaper.

The first real hit may be to hiring, not headcount 

56% of owners expect to employ fewer people because of AI within three years. It probably won’t look dramatic. Owners keep the team they have but stop posting new roles. A job goes unfilled when someone quits. The work gets split between AI and whoever’s left after a retirement. It’s a quieter kind of threat. The people already there may feel reasonably safe, even as the number of jobs that will ever exist keeps shrinking.

Fewer people are being left guessing 

62% of business owners said they have already talked openly with staff about how AI might affect their jobs. Those conversations are awkward. But going quiet doesn’t make anyone feel safer.

Employees can already see AI turning up in offices, support desks and creative work. Left in the dark, they’ll assume the worst. And owners aren’t weighing everyone equally: asked which employees they’d feel most reluctant to replace, 28% named long-serving staff, 22% those approaching retirement, and 20% employees with families or dependants. Another 15% pointed to the people who helped build the business, with far fewer citing strong customer relationships (9%) or specialist company knowledge (6%). In other words, the hesitation is about people’s circumstances and history, not just what they contribute day to day – which is all the more reason to talk openly. An honest conversation at least opens the door to adapting. Staff can start taking on more valuable work as the routine stuff gets automated, instead of just waiting to find out whether they still have a job.

Final thoughts

The AI-and-jobs debate usually gets framed as people versus machines. For small businesses, it is not as clear-cut.

Business owners are weighing the savings AI offers against loyalty to people they actually know. They are thinking about employees’ mortgages, about relationships built over years, about knowledge that never got written down anywhere.

That hesitation may protect jobs for now. It may also buy employees the time to retrain and shift toward work AI can’t easily copy.

But loyalty won’t hold every job forever. As AI gets cheaper and sharper, the likeliest move isn’t a dramatic round of cuts.  

Rather, it is owners quietly choosing not to replace the people who leave, and not creating the jobs that would once have gone to someone new.

Methodology

A survey of 3,022 small business owners across the United States was conducted in July 2026. Respondents were asked a series of questions about AI and their workforce, including: ‘Are you currently continuing to employ anyone whose role could be substantially reduced or replaced using AI?’ Demographic quotas and weighting were applied where appropriate to ensure the sample was broadly representative of U.S. small sized business owners by age, gender, region and business size. Survey responses were then combined with current national employment statistics and data on the proportion of American employees working for small businesses to estimate the number of workers represented by the findings.

Careerminds

Careerminds

Careerminds is a global workforce solutions company. We help organizations manage change, protect their reputation, and move people forward. We combine technology, data, and human coaching to deliver faster outcomes on a global scale. Founded in 2008, we operate in 80 languages across 100+ countries, combining global reach with a personalized experience. We are not just an outplacement company. We span outplacement, redeployment, leadership development, executive coaching, career frameworks, and workforce intelligence. We are redefining what it means to support people through workforce change.

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