Contrary to the zero-sum view that venture capital can be "overfunded," injecting more private capital actively expands the total addressable market. It enables companies to stay private longer, accrue more value, and tackle bigger problems, thereby growing the market itself. Capital availability drives market size, not the other way around.

Venture-backed private companies represent a massive, $5 trillion market cap, exceeding half the value of the 'Magnificent Seven' public tech stocks. This scale signifies that private markets are now a mature, institutional asset class, not a small corner of finance.

While AI makes product development cheaper, the most promising AI startups raise more capital, not less. This is driven by high ongoing costs from using the latest models and investors' desire to pour capital into potential category winners to secure market dominance quickly.

With billions in private capital available, companies no longer need to IPO for growth financing, staying private for over a decade. This fundamentally shifts value creation and innovation away from public markets, unlike in the 1990s when firms like Amazon went public to raise small sums.

In AI, companies can reach massive valuations quickly and still offer venture-like returns (e.g., 10x+). This makes traditional stage definitions (early, growth) irrelevant. Investors should ignore stage and focus on the magnitude of the opportunity, whether it's two founders or a $60B company.

For venture capitalists investing in AI, the primary success indicator is massive Total Addressable Market (TAM) expansion. Traditional concerns like entry price become secondary when a company is fundamentally redefining its market size. Without this expansion, the investment is not worthwhile in the current AI landscape.

The venture capital paradigm has inverted. Historically, private companies traded at an "illiquidity discount" to their public counterparts. Now, for elite companies, there is an "access premium" where investors pay more for private shares due to scarcity and hype. This makes staying private longer more attractive.

The venture capital landscape is experiencing extreme concentration, with a handful of AI labs like OpenAI and Anthropic raising sums that rival half of the entire annual VC deployment. This capital sink into a few mega-private companies is a new phenomenon, unlike previous tech booms.

Greylock's Saam Motamedi observes a paradox: while AI allows founders to build more with less, AI companies are raising capital faster and in larger amounts than ever. This is because the market opportunities are so massive that speed and aggression are paramount. The prize for being the dominant player justifies immense upfront investment.