You’ve heard the story so many times you could recite it in your sleep: artificial intelligence is coming for everyone’s job. The robots are learning. The chatbots are writing. The layoffs are starting. Somewhere out there, a doomsday clock is ticking toward the day when human workers become optional.
Well, there’s a new report out this week — from Gusto, released Thursday morning — and it tells a very different story. According to the data, very small businesses that adopt AI are growing their employee headcount faster than those that don’t. Let that sink in. The smallest employers in America — the bakery with four people, the plumbing company with six, the bookkeeping shop with three — are not firing workers because of AI. They’re hiring more of them.
It’s a direct counter to the job-apocalypse storyline, and it deserves your full attention.
What the Gusto report actually found
Gusto is a payroll and HR platform, which means it has a front-row seat to what small businesses actually do — not what they say in surveys, but what shows up in paychecks. Their finding is straightforward: among very small businesses, the ones using AI tools are adding employees at a faster rate than the ones that aren’t.
Now, correlation isn’t causation, and I’ll be the first to say so. It could be that growing businesses are simply more likely to try new tools — success breeds experimentation. But the finding is still remarkable for what it rules out: if AI were simply a job-destroying machine for small businesses, the AI adopters would be the ones shrinking. They’re not. They’re the ones growing.
Think about why that might be, in human terms. A landscaping company with five employees doesn’t adopt AI to replace its crew — there is no software that mows a lawn. It adopts AI to handle the quoting, the scheduling, the invoices, the customer follow-ups — the administrative work that used to eat the owner’s evenings. And when the owner gets their evenings back, they don’t retire. They go bid on more jobs. More jobs mean more crew. The AI didn’t replace a worker; it unlocked the capacity to hire another one.
Two job markets, not one
This week’s news gives us a useful contrast, because the national job picture is genuinely split. On the same day the Gusto report came out, the Bureau of Labor Statistics released its latest projections: health care and social assistance jobs are expected to see the most growth of any sector over the next decade, driven by an aging population — while overall job growth is projected to slow.
And then there’s the information sector — the industry most associated with tech, media, and the AI revolution itself. The information sector lost 23,000 jobs in August alone. Employment in the sector is now down roughly 12% since its 2022 peak — some 370,000 jobs gone over four years, spread across movies, music, telecom, media, data processing, and web hosting. That decline was largely overlooked in an otherwise strong August employment report, but it’s real, and it’s the part of the economy where the AI anxiety lives most intensely.
So here is the strange truth of the American labor market right now: the sectors closest to AI are shedding jobs, while the smallest businesses using AI are adding them. The giant tech companies are doing more with fewer people, and the tiny companies are using the same technology to justify hiring their next person.
Why the small-business story makes sense
Spend a day inside a very small business and the pattern becomes obvious. Big companies adopt AI to cut costs — they have layers of process, armies of analysts, and enormous payrolls where a 5% efficiency gain means hundreds of jobs. The AI-goes-in, workers-go-out dynamic is real at that scale, and the information sector’s 370,000 lost jobs over four years are the evidence.
Small businesses operate on a completely different logic. A ten-person company doesn’t have layers to cut. It has a bottleneck: usually the owner, who does the selling, the scheduling, the bookkeeping, and the customer service, all before lunch. When AI takes the scheduling and the bookkeeping off the owner’s plate, the business doesn’t need fewer people — it needs more people, because the owner can finally go sell more work. AI removes the ceiling, not the floor.
This is the story the apocalypse narrative misses. It treats every company like a giant corporation, where technology substitutes for labor. But for most American businesses — and the vast majority of American employers are small — technology complements labor. The AI handles the paperwork; the human handles the customer. And the customer, as any small business owner will tell you, is the whole ballgame.
The governance gap: a note of honest caution
None of this means the AI story is all sunshine, and this week’s news includes a sobering counterweight worth hearing. A survey from EY of 202 senior AI executives at billion-dollar-revenue companies found that while 98% say they have formal AI governance policies, 47% admit bypassing those policies for urgent deployments. Roughly two-thirds say they lack the internal expertise to design or evolve their governance. And 85% report their AI systems acting without real-time human oversight. A quarter of companies can’t even detect unauthorized AI agents running inside their own walls.
That’s the large-company AI story: powerful systems, weak guardrails, humans increasingly out of the loop. It’s a real risk, and it deserves real attention — including, frankly, from the small businesses now adopting these same tools. The Gusto finding is encouraging, but it isn’t a permission slip to hand the keys to the business over to software.
Even the AI industry itself is showing nerves: insiders at Anthropic aired concerns that AI could get out of control, ahead of the company’s expected IPO. And S&P Global has warned that AI financing is getting bigger and more complicated, putting even the pristine credit ratings of Big Tech hyperscalers at risk. The money flooding into AI is real, and so are the questions about whether it’s all built on solid ground.
My take
Let me be clear about where the reporting ends and my thinking begins: my take is that we’ve been telling the wrong AI jobs story. The question was never really “will AI replace workers?” — the question is “which businesses will use AI to replace workers, and which will use it to grow?” The answer, so far, splits along the fault line of size. Giants use AI to shrink. Small businesses use AI to grow.
And that should change how we talk about AI policy, AI training, and AI investment. If the most human-scale employers in the economy are the ones turning AI into jobs, then the priority isn’t just protecting workers from AI — it’s getting AI into the hands of more small businesses, with the training and the guardrails to use it well. A bakery owner who learns to automate her invoicing isn’t a victim of the AI revolution. She’s a beneficiary of it — and she just hired her fourth employee.
It’s not enough to just fear the future of work — we must listen to what the data is actually telling us, learn from the small businesses quietly proving the doomsayers wrong, and contribute by making sure the tools of this revolution reach Main Street, not just the giants. The job apocalypse was supposed to start with the smallest employers. Instead, they’re the ones hiring. Maybe the future of work is more human than we were told.
