The requirements to raise a Series A have escalated dramatically. The general expectation is now double what it was a few years ago, with the median company needing around $3.5 million in ARR, a significant jump from the old benchmark of $1 million.
With Series A valuations around $75M, a $1B exit fails to deliver venture-scale returns after dilution. Investors now require a credible path to a $10B+ 'decacorn' outcome, forcing founders to pitch stories of reaching half a billion to a billion in ARR to be considered.
In the AI application layer, where products can be replicated quickly, achieving fast growth is no longer enough to secure a Series A. Investors are intensely focused on defensibility. Founders need a compelling story for why they can build a lasting moat against a flood of fast-moving competitors.
The barrier to building a product alone has dropped, leading to a dramatic increase in solo founders. 37% of new companies are now solo-founded. Crucially, the percentage of *venture-backed* companies with a solo founder has more than doubled from 10% a decade ago to about 25% today.
Despite the remote work shift, the Bay Area has strengthened its position as the venture capital hub. Median valuations for rounds like Series A are approximately 30% higher there ($85M) compared to other cities like Austin ($65M), and the most extreme high-valuation deals are almost exclusively concentrated there.
The venture capital landscape is bifurcating. Mega-funds attract the most capital and dominate large rounds, while specialized early-stage funds own the seed stage. This leaves traditional $200-400 million Series A funds in a precarious position, struggling to compete and facing difficulties raising their next funds.
VCs are paying astronomical seed valuations (up to $200M) for AI infrastructure startups from 'legible' founders (e.g., ex-OpenAI). This high-risk strategy mirrors the 2021 market, where investment decisions are driven less by business viability and more by a VC's capital and access to play in a consensus-driven space.
Startups are achieving major milestones with far fewer people. The median Series A company now has 12-15 employees, down from around 25 a few years ago. Similarly, seed-stage teams have shrunk from 6-7 to just 4, reflecting increased capital efficiency and the impact of AI on productivity.