US solo founders are reaching revenue levels once reserved for staffed companies, according to CNBC, as cheap AI tools take over work that used to require hires. The network profiled owners running businesses without employees, including one operating 12 e-commerce brands and another who launched a consultancy after leaving Microsoft in March. CNBC published the report on Saturday, November 7, 2026.
Why it matters
The tech giants spend hundreds of billions of dollars to build AI at scale, CNBC notes, but the smallest firms in the US economy need only a handful of tools to launch a business that can compete on cost. That gap is starting to show up in national data on business creation, and it raises questions about how many of these new firms will ever add workers.
Alex Willen, who runs 12 e-commerce brands with no staff, expects $2.5 million to $3 million in revenue this year, according to CNBC. Kristin Ginn founded trnsfrmAItn, an AI-adoption consultancy, after leaving Microsoft in March; seven months later she reports roughly $250,000 in business received or contracted through the end of the year, with no employees and no regular contractors.
Erik Brynjolfsson, a Stanford economist, told CNBC that the common misunderstanding is that AI is only about individual productivity. In his view, the real shift is using it to carry out work that previously took an entire team.
What the application data shows
Liya Palagashvili, a labor economist and director of the Labor Policy Project at George Mason University's Mercatus Center, found that new business formation is climbing alongside applications that show little sign of becoming employer firms, CNBC reports.
In industries heavily exposed to AI, applications without early hiring signals rose 26.8% between the first quarter of 2024 and the first quarter of 2026, moving from about 222,000 to 281,000 per quarter. Over the same period, applications in those industries with stronger signs of eventually hiring fell 6.4%. In construction and wholesale trade, which Palagashvili used as a comparison group, non-employer-type applications dipped 0.4%.
"What AI is doing is giving those capabilities directly into the hands of the individual," she told CNBC.
Palagashvili described the results as preliminary and descriptive, and said they do not prove that AI caused the increase. The measure, based on Census data, flags applications without indicators of near-term payroll or hiring plans; it cannot show whether those businesses stayed one-person operations or later took on employees.
Cost savings and new revenue
Willen told CNBC that Anthropic's Claude handles bookkeeping, customer service, advertising and inventory across his brands, while OpenAI's image tools do work once assigned to photographers and designers. Without AI, he said, he would likely need one more full-time employee and would have to bring in contractors for photography, design, bookkeeping and ad management.
He put a traditional product photography shoot at $2,000 to $5,000 and a designer at $300 to $1,000 for new listing images. When AI removes one of those costs, he said, the money goes into his pocket.
AI also opened a sales channel he would otherwise have skipped. After buying Lone Trail, a hunting-gear brand selling binocular harnesses, packs and outdoor accessories, Willen said its Shopify store brought in about 1% of sales. Instead of closing the storefront, he rebuilt it with ChatGPT and Claude and used AI to help manage Meta advertising. In a recent 30-day stretch, he said, Shopify accounted for roughly 30% of Lone Trail's revenue — at least six figures a year that he says would not exist without AI.
Ginn's case shows how fast a newcomer can reach meaningful revenue without building an organization first. She uses AI for proposals, pricing, strategy and other tasks, and is looking at an AI agent to take over part of a labor-intensive client process.
A FreshBooks survey found similar behavior across a wider group. Seventy-nine percent of solopreneurs said they had tried AI before hiring someone for a task they could not do themselves, a figure that rose to 86% when microbusiness owners were included. Shaheen Javadizadeh, the accounting and invoicing software company's chief executive, told CNBC that AI lets these owners appear much larger than they are.
A different picture at established firms
Data from businesses already up and running points the other way, according to CNBC. Gusto, which provides payroll and HR software to small businesses, followed companies after they adopted AI and found their headcount was about 7% higher a year later than at comparable businesses that knew about AI but had not adopted it. At firms with fewer than 10 employees, adopters grew headcount about 10% more than comparable non-adopters.
Willen's setup also shows a tradeoff: running lean does not mean escaping dependence on large platforms. About 80% of his overall revenue still comes through Amazon, CNBC reports, and he relies on Meta and Shopify to grow direct sales. Ginn has no staff, but she said LinkedIn has been one of the biggest sources of clients for her consultancy.
Brynjolfsson told CNBC that a growing number of small producers can raise the value of the platforms that connect them with buyers. He described a long tail of products alongside platforms such as Amazon that are more powerful than ever because they aggregate those sellers.
The flow of savings to Big Tech is not straightforward either. Willen said part of what he saves becomes profit, and Ginn spends under $60 a month on paid AI tools.
Brynjolfsson said cheaper production pushes small businesses to concentrate more on finding customers and distributing products. He expects solo operators to do well while AI simultaneously produces larger firms on average than exist today. In a September research report titled "AI's Use of Knowledge in Society," he and Zoë Hitzig of the Anthropic Institute argue that as AI codifies knowledge previously held by people, the structure of firms will shift.
Watch whether the surge in non-employer applications translates into durable businesses or eventual hiring, and whether the headcount growth Gusto recorded among AI adopters holds as the tools spread.
