The Economist: How AI could create the first one-person ($1bn) unicorn

Key topics:AI enables solo founders like Sarah Gwilliam to start businesses without staff.Generative AI lowers startup costs but raises risks of idea copying and dependence.Tech giants dominate AI tools, challenging independent startups’ long-term growth..Sign up for your early morning brew of the BizNews Insider to keep you up to speed with the content that matters. The newsletter will land in your inbox at 5:30am weekdays. Register here.Support South Africa’s bastion of independent journalism, offering balanced insights on investments, business, and the political economy, by joining BizNews Premium. Register here.If you prefer WhatsApp for updates, sign up to the BizNews channel here..From The Economist, published under licence. The original article can be found on www.economist.com© 2025 The Economist Newspaper Limited. All rights reserved..The Economist.Sarah Gwilliam is neither a software engineer nor, she confesses, does she “speak AI”. But after her father died recently she got the spark of an idea for creating a generative artificial-intelligence startup that would help others like her handle their grief and sort out their late loved ones’ affairs. Call it wedding planning for funerals.Her firm, Solace, is still more of an early-stage startup than an established business. But besides herself, almost no human being is helping her build it. She has joined an AI-powered incubator, Audos, which decided her idea was promising. Its bots helped to set her up online and on Instagram. If her idea works out, the incubator will not only provide capital; its AI agents will support Ms Gwilliam with product development, sales, marketing and back-office work, all in exchange for a royalty. She does not need staff. In effect, AI helped her co-found the company. “I can’t tell you how empowering it was,” she says.As is its custom, Silicon Valley has already adopted a neologism that describes one-person founders like Ms Gwilliam: they are “solopreneurs”. In tech circles, there are bets on which of them is likely to create the first single-person unicorn—an unlisted firm worth more than $1bn. Some hope that generative AI will make starting a business so cheap and hassle-free that anyone will be able to become an entrepreneur much as anyone can become a YouTuber—a breath of fresh air in America’s concentrated business landscape. Whether people like Ms Gwilliam will be able to escape the suffocating grip of the tech giants, however, is another matter.Technological revolutions have a habit of shaking up the way firms do business. The increased importance of machinery combined with the expansion of transport networks in the late 19th century led to the rise of giant corporations. Ronald Coase, a British economist, argued in his 1937 paper “The Nature of the Firm” that their existence was a testament to the efficiency of consolidating and managing work within the confines of a business, rather than outsourcing activities to the market. That, however, began to change with the rise of digital communications. Not only could companies more easily outsource manufacturing and back-office jobs to low-cost countries. They could also rely on internet platforms like Google for marketing and Amazon Web Services for computing.The rise of AI could well accelerate the trend, as semi-autonomous agents provided by Silicon Valley enable firms to perform the same amount of work with fewer employees. Henrik Werdelin, who co-founded Audos, says that the rise of cloud computing helped him start several new businesses over the past 20 years or so with little more than the swipe of a credit card to get going. He describes AI as the next wave in that “democratisation”. “You don’t need to code, you don’t need to be able to use Photoshop, because you can get AI to help with that.” This, he hopes, will give rise to a flood of startups built by people like Ms Gwilliam with no background in technology but who have identified real problems to solve..Read more: .Perplexity AI: The startup poised to challenge Google’s search dominance.Another evangelist is Karim Lakhani of Harvard Business School. It now offers a leadership course for executives in which they use generative AI to build a snack-food company in 90 minutes, using the technology to perform customer research, generate recipes, find suppliers and design packaging. In a recent paper, Mr Lakhani and his co-authors presented a field trial in which 776 professionals at Procter & Gamble, a consumer-goods company, were asked to address a real business need either individually or in two-person teams, with and without using generative-AI tools. It found that AI significantly boosted performance, helping individuals with AI match the performance of teams without it. AI proved to be more of a “teammate” than a tool..With the era of free money over, founders are eager to find ways to keep costs down. Peter Walker of Carta, which helps startups manage equity ownership, says that founders used to boast about how many employees they had. “Now it’s a badge of honour to say, ‘look how few people work for me’.” According to Carta’s data, the median period it takes founders to hire their first employee after their startup incorporates has risen from less than six months in 2022 to more than nine months in 2024 (see chart). Base44, an AI-native coding startup, made headlines recently when it was sold to Wix, a web-development platform, for $80m. It had just eight employees.It is early days, of course. For one thing, AI agents are far from foolproof. In June Anthropic, an AI lab, revealed the results of an experiment in which its Claude Sonnet model operated a vending machine at the company’s headquarters. The bot’s goal was to avoid bankruptcy. It was good at identifying suppliers and adapting to user requests (including hunting for a tungsten cube mischievously requested by one employee). But it ignored lucrative opportunities, hallucinated, offered too many discounts and ultimately failed to make money.Other forces may also get in the way of an AI-infused surge in entrepreneurship. Despite the growth of the internet, social media, software-as-a-service and cloud computing over the past three decades, business formation in America was anaemic until the pandemic—the result in part of an aging population. That demographic pressure will only intensify.For all the promise of generative AI, it poses problems for entrepreneurs, too. Annabelle Gawer of the University of Surrey notes that although the technology lowers barriers to entry for new businesses, it also makes it easier to quickly copy ideas. Unless a founder has unique expertise in their domain, that may make it harder to sustain a competitive advantage.Moreover, the provision of AI tools is dominated by tech giants and the labs they invest in, such as OpenAI, backed by Microsoft, and Anthropic, backed by Amazon and Google. Ms Gawer draws an analogy with the rise of cloud computing in the 2010s, which those three tech giants dominate. Although that infrastructure has made life easier for startups, it has also left them dependent on the cloud triumvirate, which has been able to capture a good share of the value these firms have generated. Last year the trio’s net profits were equivalent to 7% of America’s total, up from 2% a decade before.Another galling possibility is that the tech giants could pinch smaller companies’ best ideas. For now, Ms Gwilliam of Solace is sanguine. What she calls “first-mover disadvantage” could be “a bummer”, but it could also validate her idea. “Maybe they’ll come to me and say, ‘We want Solace.’ And then I’ll be, like, ‘Great, sold!’” Just like a typical entrepreneur, then.

The Economist: How AI could create the first one-person ($1bn) unicorn

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From The Economist, published under licence. The original article can be found on www.economist.com

© 2025 The Economist Newspaper Limited. All rights reserved.

The Economist

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