Long-term returns are a function of capital supply and demand. Hyped areas like AI have a surplus of capital, competing returns down. True opportunities lie in being the "one banker for 1,000 borrowers"—investing in areas starved for capital, where your money commands a higher expected return.
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Focusing only on trendy sectors leads to intense competition where the vast majority of startups fail. True opportunity lies in contrarian ideas that others overlook or dismiss, as these markets have fewer competitors.
While there's a popular narrative about a US manufacturing resurgence, the massive capital spending on AI contradicts it. By consuming a huge portion of available capital and accounting for half of GDP growth, the AI boom drives up the cost of capital for all non-AI sectors, making it harder for manufacturing and other startups to get funded.
As AI infrastructure giants become government-backed utilities, their investment appeal diminishes like banks after 2008. The next wave of value creation will come from stagnant, existing businesses that adopt AI to unlock new margins, leveraging their established brands and distribution channels rather than building new rails from scratch.
Contrary to popular belief, the market may be getting less efficient. The dominance of indexing, quant funds, and multi-manager pods—all with short time horizons—creates dislocations. This leaves opportunities for long-term investors to buy valuable assets that are neglected because their path to value creation is uncertain.
Resist the common trend of chasing popular deals. Instead, invest years in deeply understanding a specific, narrow sector. This specialized expertise allows you to make smarter investment decisions, add unique value to companies, and potentially secure better deal pricing when opportunities eventually arise.
VC Joe Lonsdale argues investors are overly focused on software 'infinity stories' that could be worth trillions. Meanwhile, the 'real economy' (construction, quarrying, manufacturing) represents 85% of capital and is ripe for AI-driven transformation. These less-hyped applications represent a massive, misunderstood, and less competitive investment area.
The focus on AI among institutional investors is so absolute that promising non-AI companies risk "dying of neglect" and being unable to secure follow-on funding. This creates a potential opportunity gap for angel investors to fund valuable businesses in overlooked sectors.
Figma's CEO argues that as capital and talent flock to AI, significant opportunities are being ignored in less-hyped industries. He cites his investments in fintech for farmers and cryogenics as examples of valuable, missionary-led companies thriving outside the crowded AI spotlight.
The AI investment case might be inverted. While tech firms spend trillions on infrastructure with uncertain returns, traditional sector companies (industrials, healthcare) can leverage powerful AI services for a fraction of the cost. They capture a massive 'value gap,' gaining productivity without the huge capital outlay.
True alpha in venture capital is found at the extremes. It's either in being a "market maker" at the earliest stages by shaping a raw idea, or by writing massive, late-stage checks where few can compete. The competitive, crowded middle-stages offer less opportunity for outsized returns.
