Investors Look Beyond Chips For Next Big Thing in Tech

Investors are looking beyond chips as the AI trade broadens to other technology names and next-generation platforms. Alger Portfolio Manager Ankur Crawford said there has not been a business like SpaceX before, underscoring bullish sentiment around disruptive innovation and private-market opportunities. The piece is commentary rather than hard news, so direct market impact is likely limited.

Analysis

The important read-through is not “AI is hot,” but that capital is broadening from compute infrastructure into narrative-driven scarcity assets with quasi-platform optionality. That tends to reward private-market adjacency, founder-owned businesses, and any listed proxy that can plausibly be framed as a pick-and-shovel beneficiary of an AI capex supercycle, even if near-term fundamentals lag. In other words, the second-order trade is a widening dispersion: a small number of perceived AI-adjacent winners keep re-rating while the median software stock remains stagnant.

That creates a setup where the most vulnerable names are not the obvious laggards, but the crowded consensus longs most exposed to multiple compression if AI spending normalizes or if rates stay higher for longer. Expect the first air pockets in names where valuation has detached from monetization timing; those are most sensitive to any slowdown in hyperscaler capex commentary over the next 1-2 quarters. Supply-chain beneficiaries in semis and power infrastructure likely retain support, but the easy money phase is ending as investors search for the “next SpaceX” and bid up illiquidity.

The contrarian angle is that this type of rotation is often a late-cycle sign, not an early-cycle one: when public-market investors start extending AI into venture-style scarcity stories, forward returns in the broad theme usually narrow. If the market begins demanding proof rather than optionality, expect a short, sharp de-rating in the least cash-generative parts of the basket while durable platforms with real revenue retention outperform. The key catalyst to reverse the trend is not bad AI demand, but a reset in rates, AI capex guidance, or a high-profile private-market mark-down that reminds investors liquidity is not free.

Over the next several months, the cleanest positioning is to stay exposed to hard-dollar AI enablers while fading the most crowded thematic expressions. The opportunity cost is real: chasing the “next big thing” in private markets often looks good until the market stops paying for story duration. A more disciplined stance is to own cash-flowing infrastructure and short long-duration narrative risk.

Key Decisions for Investors

• Go long NVDA and/or AVGO on pullbacks over the next 2-6 weeks; use these as liquid proxies for AI capex persistence, with a tighter stop if hyperscaler commentary softens. Risk/reward remains favorable as long as capex growth stays intact, but upside likely becomes more selective from here.
• Pair long SMH against short an equal-dollar basket of high-multiple unprofitable software names over 1-3 months. This expresses the view that AI enthusiasm is shifting from monetization-risk names to picks-and-shovels, with better downside protection if the theme cools.
• Add a small tactical long in IREN/CIFR-style power and compute adjacency names only on weakness, not strength, and size them as optionality. These can rip in sentiment waves, but the risk/reward is poor if the market starts demanding near-term cash generation.
• Avoid initiating fresh longs in the most promotional private-market AI exposure for the next quarter; instead wait for a liquidity event or secondary at a discount. The setup favors patience because illiquidity premium can disappear quickly if public comparables de-rate.
• If you need a hedge against an AI sentiment unwind, buy put spreads on KWEB or ARKK over 2-4 months as a proxy for duration-sensitive growth de-rating. These baskets tend to absorb the first multiple compression when the market stops paying for narrative alone.