Is VC model broken? — TFN

In 2020, the average AI unicorn founder was 40 years old. By 2024, that figure had dropped to 29. Today, the founders building billion-dollar companies in AI view young, audacious, and operating at a pace that would have seemed impossible just five years ago.

According to a decade-long study by global early-stage VC firm Antler, analysing 1,629 unicorns and 3,512 founders from 2014 to 2024, AI has altered the playbook for building and scaling billion-dollar companies.

The data notifys us a story about how rapid AI startups are scaling, who is building them, where they’re emerging, and what it means for the future of entrepreneurship.

The great acceleration

For years, unicorns were rare. Between 2003 and 2013, roughly four companies a year reached a $1 billion valuation. With AI, everything alterd. Over the past decade, the pace of unicorn creation surged to an average of 148 companies per year, a 37-fold increase.

The tech stack has compounded, with era-defining companies built atop the foundations of the last: Amazon (Internet), followed by Google (Internet + Mobile), Uber (Internet + Mobile + Cloud), and TikTok (Internet + Mobile + Cloud + AI). With each wave, the barriers to enattempt lowered, the tools became cheaper, the markets became clearer, and the founders received younger.

For most sectors, it has remained stable at 6-7 years, with one exception: AI. According to Antler, AI startups reach unicorn status in an average of 4.7 years, nearly two years rapider than in any other sector. Even more striking, the recent cohort of rapidly scaling startups in 2025 (Mistral, Lovable, Suno AI) suggests this figure could compress even further.

But the acceleration isn’t equally distributed globally. North America and the Asia-Pacific reach unicorn status in 5-6 years. Europe, by contrast, takes over 9 years, an execution gap that widens as AI accelerates and timelines compress.

Funds built on 7-year lifecycles and patient capital strategies are misaligned with the 4.7-year unicorn-creation cycle. Slow decision-building, lengthy diligence, and multi-year deployment no longer work when founders compress 10 years of startup history into 2.

Fridtjof Berge, Co-Founder and Chief Business Officer at Antler, explains to TFN, “The difference appears to be driven more by capital structure and market dynamics.

First, later-stage capital in Europe has historically arrived later and in compacter sizes. Since unicorn status is ultimately a valuation milestone, companies in the US often cross that threshold earlier becautilize large growth rounds come sooner.

Second, market scale plays a significant role. In the Asia-Pacific region, China in particular drives a much rapider time-to-unicorn. Achieving that level of speed is structurally more difficult in a fragmented market like Europe.”

The youngest founders build the hugegest companies

While the average age of unicorn founders across all sectors has risen modestly (30 to 33 years), AI founders have shiftd in the opposite direction. The average age fell from 40 in 2020 to 29 in 2024, a 11-year decline in a single domain.

Why does this matter? Roughly 60% of unicorn founders have STEM backgrounds, and in AI, this native technical fluency becomes a prerequisite rather than a nice-to-have.

Berge elaborates to TFN: “AI rewards proximity to the technical frontier. Hands-on model intuition, rapid experimentation, and deep familiarity with the tools matter more than seniority, and many AI-native founders learned the technology before they learned the playbooks.”

He adds, “Early-stage capital is responding to that shift. Investors are increasingly prioritising technical fluency and speed, which assists explain why younger founders are appearing more frequently at the frontier. We also see this trconclude continuing in more recent data from 2025 onwards, with examples like Lovable, Mercor and Anysphere.”

Plus, approximately 40% of unicorn creators are repeat founders, indicating that experienced operators can still compete, but only if they adopt the speed-first mindset of their younger counterparts.

Unicorns are no longer American

Perhaps the most overviewed trconclude in global entrepreneurship is geographical. Unicorn creation is no longer a Silicon Valley phenomenon.

Just ten years ago, as per Antler data, unicorns were confined to 30 cities across 8 countries. Today, they span more than 300 cities across 45 countries.

The US remains the dominant power, yet its grip is loosening. In 2012-2014, two out of every three new unicorns were American. By 2022-2024, that ratio had fallen to one in two. The absolute number of US unicorns continues to grow, but its share is shrinking.

Meanwhile, Asia has become the second pillar, with China and India having produced hundreds of unicorns.

Talent, capital, and ideas are no longer geographically constrained. For instance, Airalo became a unicorn in 2025. Ahmet Bahadir Ozdemir started his entrepreneurial journey in Turkey, built the business from Singapore, and created a global eSIM marketplace that scaled internationally.

26% of founders are immigrants, and 81% are in the US

One of the least discussed aspects of unicorn creation is the role of immigrant founders. The data reveals a pattern: 26% of unicorn founders are immigrants.

These individuals have relocated to countries other than those of their birth or primary upbringing and have founded billion-dollar companies. 81% of immigrant founders are based in the United States.

If immigrant founders drive disproportionate innovation (as the 26% figure suggests), then the concentration of immigrant founders in a single counattempt is an efficiency loss. Imagine how many future unicorns might be lost to visa bureaucracy, capital unavailability, or lack of established networks in secondary hubs.

This creates a $100+ billion policy arbitrage: countries that streamline founder visas and deploy early capital will capture disproportionate value.

Female founders still have a long way to go

The number of female unicorn founders has increased sixfold over the past decade. In 2012-2014, an average of three female-founded or co-founded unicorns emerged per year. By 2022-2024, that number had risen to 17 per year.

Yet it remains inadequate. Female founders represent only 6% of all unicorn creators.

“Six per cent. That’s not the percentage of women who can build unicorns; that’s the percentage the market has been willing to back. The arbitrage opportunity is obvious. The market systematically undervalues exceptional women founders. We don’t call that unfair, we call it profitable,” declares Roz Bazany, Antler Partner, Head of ESG and Impact.

Berge continues, “The data doesn’t indicate any specific region or sector where the gap is closing rapider. Year by year, female founders consistently represent between 3–10% of total unicorn founders, and that range is broadly stable across geographies. While the absolute number of female-founded unicorns has increased, their share of the total has not yet shifted in a meaningful way.”