One-person company: Why Southeast Asia’s next unicorn may look nothing like Grab

For nearly two decades, the blueprint for launching startups in Southeast Asia has remained relatively consistent: develop a super app, secure hundreds of millions in funding, assemble a workforce of thousands, expand across multiple markets, and dominate the region. Companies such as Grab, Sea Group, and GoTo have become emblematic of the region's capacity to produce technology multinationals that can compete with global giants.

However, the emergence of artificial intelligence may herald a new era of billion-dollar startups that look quite different. With AI, many labor-intensive tasks—software development, customer support, marketing, design, sales, copy editing, and data analysis—can be automated or outsourced to AI agents, dramatically lowering costs and resource needs.

This trend has been dubbed the "one-person company," although in reality, these businesses typically comprise a small team that can generate millions in annual revenue using AI tools and cloud infrastructure. Investors are now more interested in revenue per employee and efficiency gains rather than scale, network effects, and raw valuation.

A company with 10 employees generating $10 million in annual recurring revenue is far more appealing than one with 100 employees that necessitates raising hundreds of millions of dollars to acquire critical user bases. This shift has significant implications for Southeast Asia, a region that has already proven its ability to create internet firms that can scale into global multinationals.

AI reduces one of the primary barriers to entry that historically favored Silicon Valley over the region—namely, the requirement to hire large teams of engineers and raise substantial capital. Entrepreneurs in Vietnam, Indonesia, the Philippines, and Malaysia can now develop products that would have previously only been feasible for firms based in California or Singapore.

While large firms are unlikely to vanish, the investment thesis has shifted from theoretical to reality. Venture capital giants like Y Combinator, Andreessen Horowitz (a16z), Thrive Capital, and Menlo Ventures are already backing startups that leverage extreme operational leverage rather than large headcounts. Y Combinator and a16z have argued that AI enables a single founder to accomplish what previously required an entire early-stage team, making "one-person billion-dollar companies" a viable proposition.

Thrive Capital has invested in AI coding startup Cursor (Anysphere), while Menlo Ventures has backed companies like Anthropic and Factory, signaling a broader trend toward AI-native businesses capable of scaling with remarkably lean teams. Investors are now asking a different question: how much value can each employee create? Many software-intensive businesses can and will be created with smaller teams.

The next Southeast Asian unicorn may well be significantly less manpower-intensive than Grab or Sea Group. Founders are already experimenting with methods to reduce resource intensity in business creation, with accelerators and builder platforms witnessing an increasing number of vertical AI startups targeting healthcare, legal services, finance, and education.

While founders still aspire to achieve scale, the focus has shifted toward leveraging AI to unlock new sources of agglomeration economies. The emerging shift may define the next decade of entrepreneurship, with founders needing to think creatively about the human resources they employ and how they complement their skills. Ultimately, the next Southeast Asian unicorn may not consist of ten thousand workers, but rather begin with just one.