The Rise of Million-Dollar Companies With Just One Employee - Kanebridge News
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The Rise of Million-Dollar Companies With Just One Employee

Artificial intelligence is making it easier than ever to build a business without building a team. As AI takes over coding, customer support, marketing, administration, and other day-to-day tasks, a growing number of solo founders are scaling startups to millions in revenue with few—or even no—employees. While the trend is lowering barriers to entrepreneurship, it is also reshaping hiring, raising questions about the future of work and how businesses will grow in the AI era.

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Thu, Jul 30, 2026 5:08pmGrey Clock 5 min

Ben Broca launched a company last December that offers AI tools to entrepreneurs. He’s already added 10,000 paying customers and is on track to bring in $10 million in revenue this year.

One thing he hasn’t added: any other employees.

The 40-year-old is part of a class of entrepreneurs who are launching, and then often running, new companies on their own. Artificial intelligence tools answer Broca’s emails, help write and debug code, field requests from customers, sign up new subscribers and grant refunds when issues arise.

Broca relishes his ability to make whatever decisions he wants on his own, often from his sun-drenched Sausalito, Calif., living room. “I think compromises make lukewarm results,” he said.

Once upon a time, running a business of a certain size required a team. AI is turning that assumption upside down, and more aspiring entrepreneurs are going it alone.

Ben Broca sitting in his home office.
Tech has seen an explosion of solo founders in the past year. Broca said he likes being able to work at his own speed, unencumbered by a team. Jonah Reenders for WSJ

An analysis by the payments company Stripe shows there are thousands of solo operators on the company’s platform that are generating over $1 million in revenue, with their ranks doubling between 2023 and 2025. The number of solo operators crossing the $10 million threshold nearly tripled in that same span.

In the past, people without business contacts or particular savvy might not have known how to get their ideas off the ground, said Ernie Tedeschi, Stripe’s chief economist. “Now, AI can be a built-in business partner,” he said.

AI’s ability to handle various administrative tasks makes it potentially useful for launching solo businesses in many fields. But the technology’s ability to also handle key tasks in tech, like coding, make that field a particular hot spot.

Analyzing Census Bureau data, Bank of America Institute economist Taylor Bowley found that among all industries, new business applications in the information sector have seen the biggest percentage increase—nearly 45%—over the past year. At the same time, the rate of information-sector applicants saying they plan to hire workers has experienced the sharpest decline of any measured industry.

This Census dataset doesn’t track solo-operated businesses. But the numbers broadly show—in tech and beyond—that applications are flat among businesses likely to hire workers, but generally rising elsewhere. Economists say that’s a strong sign that solo operators are on the upswing.

“The bar for getting started has never been lower,” said Julian Weisser, who runs a San Francisco-based accelerator for solo founders working in tech. The accelerator—which offers founders seed money and mentorship in exchange for an equity stake—attracted 4,500 applicants for 10 slots made available in its most recent cycle, nearly five times the number it drew when it launched last May.

Going it alone with AI can still be surprisingly expensive. Broca said he was losing money on many customers’ accounts while paying to access Anthropic’s Claude to run his clients’ requests—that AI company, as well as others, charges based on usage. He has since switched to free open-source AI models from China.

Broca said he has raised $30 million from investors and, at the same time, has saved millions in salary since he hasn’t needed a team of software engineers.

Another risk: If it’s easy for one entrepreneur to launch an AI-assisted business, copying them can be easy, too. This creates anxiety for founders like Troy Johnston, who runs an AI-assisted business alone in Orlando, Fla.

“Everybody has the sword and we all have the ability to unsheathe Excalibur now,” said Johnston, 40, who used AI to code an app that helps people get the most out of credit card benefits. The company makes around $3,000 a month in profit, with no employees, and is continuing to grow.

Headshot of Troy Johnston.
Troy Johnston said AI’s power and ease of use is an incredible boon for entrepreneurs like him—and also a double-edged sword. Luann Koerper

What one-person businesses will mean for the labor market remains to be seen. Polling has shown Americans are worried that AI will replace jobs, and top economists are wrestling with that possibility, too. But AI is also creating lots of new jobs, and the go-it-alone entrepreneurs show how the technology can both open doors and limit employment opportunities.

“If everyone’s hiring less, but you get four times more firms, what does that do to head count?” said Rembrand Koning, an associate professor at Harvard Business School who studies entrepreneurship. He co-authored a recent study that found that among 50,000 startups the researchers examined, those focused on AI tended to operate with 25% fewer employees.

Koning also believes a soft hiring environment that’s left some people mired in long job searches has encouraged more to try their hand at launching businesses.

Some founders cite different motives. “It’s a perfect storm of post-pandemic burnout and a re-evaluation of one’s priorities, and also booming AI and a sense of what’s possible,” said Samir Ahmad, 39, who lives in Breinigsville, Pa.

Two years ago, Ahmad decided to leave the corporate job he had worked at Verizon for almost two decades to start a solo coaching and consulting business. He had been seeing social-media posts touting the ease and virtues of AI, which he used to chart a business plan and help with marketing. “It was like my chief of staff, a second in command,” he said.

The business ultimately petered out within months, though, and Ahmad is now back to a full-time corporate role with a utility company.

For Claire Vo, 41, AI helped her turn a passing impulse into a business. She was working full-time as a tech executive when she tapped AI in late 2023 to help code an app that would help her manage documentation and design for new products, with customers ranging from financial services to healthcare firms.

“I was copying and pasting from ChatGPT,” said Vo, who lives in San Francisco.

Claire Vo smiling into the camera while recording a podcast.
Claire Vo used AI to code an app that’s on track to make seven figures in profit this year. Claire Vo

She put the app online for $1 a month, and within weeks people downloaded it thousands of times. Nearly three years later, Vo’s company—which she ran solo for nine months before hiring an engineer—now has 100,000 users and is on track to make seven figures in profit this year. AI handles the company’s marketing, sales and customer support.

While AI is a shortcut, Vo said her network and credibility in the industry were key. “I think people over-index on how easy AI is and under-index on how much I did to get to this point,” she said.



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AI-powered travel agents are challenging online booking platforms, but Airbnb’s exclusive listings and direct customer relationships could give it an edge. Its next challenge: turning repeat guests into loyal customers through stronger rewards and innovation.

By David Wainer
Tue, Oct 13, 2026 3 min

AI agents like Muse can already find you the cheapest hotel room in Paris. But they can’t locate a cheaper version of that Catskills cabin you’ve been eyeing, because it might only be available on Airbnb ABNB -1.43%decrease.

Investors should pay attention to that distinction. When Meta Platforms META 3.38%increase launched its Muse agent last month, travel stocks including Booking Holdings BKNG -1.19%decrease, Expedia and Airbnb all fell sharply.

Airbnb, though, has a real chance to emerge as a winner from the upheaval. The catch: Its stock already reflects above-industry growth. To justify its valuation, Airbnb will need to turn repeat customers into loyal ones.

Online travel companies make much of their money by simplifying search and collecting fees on bookings. AI agents threaten that model.

But not all travel marketplaces are equally exposed. Booking and Expedia largely sell hotel rooms that travelers can also book directly or through competing sites. If an agent can find the same room elsewhere, it has little reason to favor either Booking or Expedia.

Booking and Expedia also sell sponsored listings that steer travelers toward particular properties. Wells Fargo estimates those will account for about 8% of Expedia’s revenue and a much higher percentage of profit next year.

Airbnb has more ways to adapt. More than half its listings are available only on its platform, and more than 90% of its traffic comes directly to its app or website.

The customer relationship doesn’t end after booking, either. Bernstein analyst Richard Clarke notes that 90% of Airbnb guests go on to message their hosts about arrival times, keys or local taxes, giving Airbnb a connection to both sides of the transaction.

How the companies have responded to the possible agentic future is telling.

Expedia quickly signed on as a Muse partner. Airbnb hasn’t, and Chief Executive Brian Chesky says AI chatbots have so far been a boon, sending customers to Airbnb’s website.

Chatbots might work for buying paper towels, he quipped at a Skift conference last month, but people enjoy planning trips. He argued that browsing dozens of homes isn’t something a text-based chatbot is well suited for.

Still, the AI jitters arrived just as Airbnb was persuading investors it deserved its pricey multiple. For years after its 2020 initial public offering, the stock—which trades around 25 to 30 times forward earnings—went nowhere. Investors saw a mature operator trading at a growth premium.

This year, Airbnb growth seems to be accelerating. The stock jumped in August after the company raised its full-year revenue-growth guidance with its second-quarter results. Wells Fargo analyst Ken Gawrelski credits a run of product improvements under a revamped leadership team.

Among the changes: letting guests reserve now and pay later, adding hotels, and a redesigned home page and app. Investors were also betting on what comes next, including thousands more hotels, car rentals and, eventually, advertising.

The irony is that some of those growth drivers push Airbnb closer to the kind of business Booking and Expedia run—the kind of business AI agents could threaten. Even if AI agents capture a large share of travel planning and booking, Airbnb would capture the demand. But it and others would slowly lose control over how customers find and choose properties.

That would undermine the advertising opportunity investors are counting on. The bigger point for Airbnb and other marketplaces is that losing control of customer acquisition could mean surrendering some of their pricing power and margins.

To bulletproof itself, Airbnb might look to another e-commerce giant that has so far kept AI agents at arm’s length: Amazon.

Like Amazon, Airbnb has a loyal customer base and hard-to-match supply. But it has nothing like Prime membership to make customers think twice before taking their business elsewhere.

That is where loyalty comes in. Business travelers stick with Hilton or Marriott because enough nights earn them perks. Leisure travelers rarely accumulate stays with one chain. Airbnb has millions of listings and plenty of repeat customers, but no broad rewards program. It has begun experimenting with credits on hotel stays, but it should make loyalty a priority, not just a promotion.

Airbnb also plans to launch its own AI agent next year. But travelers using an agent might still want it to search Airbnb, Vrbo, Booking and hotel websites alike, rather than limit itself to one company’s inventory.

Eventually, Airbnb might have to strike deals with agent makers, using its unique homes as leverage to negotiate favorable terms, says Gawrelski. Such deals, along with rewards for loyal guests, could over the long term eat into the company’s roughly 13% take rate, he adds. But if they bring in enough additional bookings, the trade-off could be worthwhile.

History offers a reason not to panic. The shift from desktop to mobile unsettled investors in Alphabet and Amazon, but both emerged as major beneficiaries. Companies with valuable assets can come out of a platform shift stronger, if they adapt quickly enough.

Airbnb has homes the bots can’t easily replace. Now it needs to give guests a reason to insist on booking them there.