In a recent analysis, a prominent economist has raised concerns about the sustainability of the current stock market rally, particularly in the context of artificial intelligence (AI) investments. The U.S. stock market has experienced significant momentum, driven largely by optimism surrounding technology companies. The Nasdaq 100 index is poised to record its strongest quarterly performance in years, reflecting a pervasive bullish sentiment in tech.
However, Torsten Sløk, chief economist at Apollo Global Management, has warned that the benefits of extensive AI investments are likely to remain concentrated within the technology sector for the foreseeable future. He highlighted a potential disconnect between the high, front-loaded valuations currently seen in the equity markets and the slower reality of cash flow returns. Sløk stated, “This creates a dangerous divergence… equity markets priced for instant earnings growth will face a painful repricing if the productivity hockey-stick takes five years rather than five months.”
The foundation of the AI investment thesis rests on the assumption that companies will achieve significant productivity gains by integrating AI into their operations. Yet, Sløk pointed out that there is little evidence of margin growth resulting from AI deployment outside the tech sector. Concerns have emerged among many companies regarding the rising costs associated with AI implementation, suggesting that the anticipated benefits may take longer to materialize than investors had hoped.
He elaborated on the challenges faced by slower-moving industries such as healthcare, banking, insurance, energy, defense, pharmaceuticals, manufacturing, construction, education, and the public sector, noting, “The list of slow-moving sectors is long.” For companies in these areas, realizing any financial returns from AI investments may still be years away.
While Sløk remains generally optimistic regarding AI’s potential to boost the broader economy, he cautioned against the overvaluation of stocks based on expected rapid growth in margins attributed to AI. “Companies will slow their AI spending if they don’t see ROI quickly,” he warned, indicating that the current emphasis on optimizing AI applications could signal a more turbulent and extended implementation process than initially anticipated.
Sløk’s balanced perspective serves as a reminder for investors to approach the rapidly evolving landscape of AI investments with caution, weighing both the promising opportunities and the inherent risks involved.
