Founders in deep tech and space are moving beyond traditional TAM analysis. They justify high valuations by pitching narratives of creating entirely new markets, like interplanetary humanity or space-based data centers. This shifts the conversation from 'what is the market?' to 'what could the market become?'.
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Traditional valuation models assume growth decays over time. However, when a company at scale, like Databricks, begins to reaccelerate, it defies these models. This rare phenomenon signals an expanding market or competitive advantage, justifying massive valuation premiums that seem disconnected from public comps.
While a strong business model is necessary, it doesn't generate outsized returns. The key to successful growth investing is identifying a Total Addressable Market (TAM) that consensus views as small but which you believe will be massive. This contrarian take on market size is where the real alpha is found.
Initial data suggested the market for design tools was too small to build a large business. Figma's founders bet on the trend that design was becoming a key business differentiator, which would force the market to expand. They focused on building for the trend, not the existing TAM.
SpaceX's dominant position can be framed for an IPO not as a player in terrestrial industries, but as the owner of 90% of the entire universe's launch capabilities. This narrative positions it as controlling the infrastructure for all future off-planet economies, from connectivity to defense, dwarfing Earth-bound tech giants.
Enterprise leaders aren't motivated by solving small, specific problems. Founders succeed by "vision casting"—selling a future state or opportunity that gives the buyer a competitive edge ("alpha"). This excites them enough to champion a deal internally.
Companies like Tesla and Oracle achieve massive valuations not through profits, but by capturing the dominant market story, such as becoming an "AI company." Investors should analyze a company's ability to create and own the next compelling narrative.
Unlike SaaS startups focused on finding product-market fit (market risk), deep tech ventures tackle immense technical challenges. If they succeed, they enter massive, pre-existing trillion-dollar markets like energy or shipping where demand is virtually guaranteed, eliminating market risk entirely.
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.
When evaluating revolutionary ideas, traditional Total Addressable Market (TAM) analysis is useless. VCs should instead bet on founders with a "world-bending vision" capable of inducing a new market, not just capturing an existing one. Have the humility to admit you can't predict market size and instead back the visionary founder.
The extreme 65x revenue multiple for SpaceX's IPO isn't based on traditional aerospace. Investors are pricing in its potential to build the next generation of AI infrastructure, leveraging the fact that lasers transmit data fastest through the vacuum of space, making it the ultimate frontier for data centers.
