As AI stocks reach record highs, investors are seeking a balance between potential gains and protection from downside risk. Strategies inspired by the dot-com bubble suggest diversifying into related sectors. ## Key Takeaways: * **Learning from the Past:** Investors are drawing parallels to the dot-com bubble of the 1990s to navigate the current AI boom. * **Diversification is Key:** Moving away from overvalued stocks and focusing on companies with growth potential. * **Investing in Infrastructure:** Targeting companies that support AI growth, such as nuclear energy and robotics. ## Navigating the AI Boom: Strategies from the Dot-Com Bubble With Nvidia’s valuation soaring past $4 trillion, institutional investors are seeking ways to ride the AI wave while mitigating risk. Many are recalling the dot-com bubble of the 1990s, where startups, telecom, and tech companies saw their values skyrocket. ### A Tried and Tested Strategy “We’re doing what worked from 1998 to 2000,” says Francesco Sandrini, head of multi-asset at Amundi. He points to signs of irrational exuberance, such as frantic trading of risk options in large AI stocks, but expects this tech enthusiasm to continue and seeks to lock in gains by betting on reasonably valued assets with growth potential. ### Finding Hidden Growth Sandrini says this requires finding the “highest growth opportunities the market hasn’t discovered yet,” and has allocated funds to software groups, robotics, and Asian tech stocks. ### Diversifying Within AI Other investors expect some to reduce exposure to the “Magnificent Seven” stocks after Nvidia more than doubled in two years, but still want AI exposure. ### Agile Asset Management “There’s a very high chance [the AI craze] ends in tears because companies are investing trillions of dollars to compete for a market that doesn’t yet exist,” says Simon Edelsten, chief investment officer at Goshawk Asset Management. He worked on telecom IPOs at Dresdner Kleinwort Benson in 1999. ### Expanding to Related Industries He expects the next phase of the AI craze to move from companies like Nvidia, Microsoft, and Alphabet to related industries. ### Adapting to Different Bubble Stages Historically, navigating different bubble stages has been a way to participate while avoiding the risk of calling the top too early. ### Lessons from the Dot-Com Era A study by economists Markus Brunnermeir and Stefan Nagel showed that hedge funds mostly did not short during the dot-com bubble but beat the market by about 4.5% each quarter between 1998 and 2000 and avoided the worst of the drop. They sold overvalued internet stocks in time and reinvested the profits in stocks not yet noticed by ordinary investors. ### Making Profits in a Volatile Market “Even when the market topped out in 2000, those with fast feet could make a decent profit,” says Edelsten of Goshawk, adding that the current environment is similar to 1999. ### Investing in Shovels and Picks He favors IT consulting companies and Japanese robotics groups that are expected to earn revenue from AI giants. He says this is the typical way a gold rush evolves. “When someone finds a gold mine, you should buy the local hardware store because the miners will go there to buy shovels.” Investors also see opportunities in investing in Uranium mining companies as Nuclear power is expected to be used to power AI data centers. ### Avoiding Direct Investment Investors are also trying to cash in on the trillions of dollars pledged by hyperscale data center companies like Amazon, Microsoft, and Alphabet for AI data centers and advanced chips while avoiding overinvesting directly in those companies. ### Concerns about Over Capacity Becky Qin, a multi-asset manager at Fidelity International, says uranium is her new favorite AI trade because power-hungry AI data centers could consume vast amounts of nuclear energy. ### Worries About Excess Capacity Asset management firms also worry that the rush to build data centers could lead to overcapacity, just like the “fiber optic bubble” in the telecom industry. ### Excessive Behavior in New Technologies “In any new technology paradigm, we’re bound to have overshoots on our way from point A to point B,” says Arun Sai, senior multi-asset strategist at Pictet Asset Management. While top AI stocks like Microsoft, Amazon, and Alphabet are driven by strong earnings, he still sees “the makings of a bubble” and favors Chinese stocks as a hedge. ### Relative Value Approach However, some investors do not agree with this AI investing approach of mitigating future losses with relative value investments. ### Hedging Against AI Meltdown Oliver Blackbourn, a portfolio manager at Janus Henderson, says he’s using European and healthcare assets to hedge his U.S. tech stock positions in case an AI stock meltdown damages the U.S. economy. He says it’s impossible to predict how long the AI craze will last because the top is usually only known after the market has actually moved out of it. “Until the bubble bursts, we’re all living in 1999.”