The AI Trade Everyone Loves Is About to Get Dangerous

InvestorPlace analyst Tom Yeung warns that the current frenzy surrounding artificial intelligence stocks, particularly in the semiconductor sector, is becoming increasingly dangerous. The article highlights how easy it has become to create AI trading algorithms, citing a hydrologist who built a successful trading bot in six days. This ease of access contributes to a market environment driven by hype and retail investor sentiment rather than fundamental value. Yeung points to massive infrastructure projects, such as Meta’s Hyperion data center and SoftBank’s Ohio site, which are fueling unprecedented demand for chips. However, this demand has led to overheated valuations, with the iShares Semiconductor ETF rising significantly before a recent selloff. Even companies with poor financial performance, like Macom Technology Solutions, have seen stock price surges. Intel Corp.’s valuation metrics are noted to be higher than during the dot-com bubble peak. The author argues that the market is behaving like a casino, where attention matters more than fundamentals, and suggests that investors should seek safer alternatives outside the immediate tech hype cycle to avoid potential losses when the mania subsides.