Manish Kabra, an analyst at Societe Generale SA, said Friday that it is too early to buy shares of the largest U.S. spenders on artificial intelligence [1].
This caution comes as investors navigate a volatile rotation into AI-related stocks. If the spending does not translate into immediate productivity or revenue gains, the current market enthusiasm could lead to significant corrections for high-valuation companies.
Kabra said the recent movement of capital into stocks of companies spending heavily on AI is unlikely to be sustained [1]. The analyst's perspective suggests that the market may be overestimating the short-term returns of these massive infrastructure investments.
While many investors have chased the growth potential of generative AI, the actual financial impact of these expenditures remains a point of contention among market strategists. The rotation into these stocks often reflects a bet on future capabilities rather than current earnings [1].
Societe Generale's analysis highlights a disconnect between the capital being deployed by the largest tech firms and the timing of the expected payouts. This gap creates a risk for those entering the market at current price levels [1].
Investors are now weighing whether the aggressive spending cycles of the largest U.S. firms are creating a sustainable foundation for growth, or a speculative bubble. Kabra said the timing for entry is not yet optimal for those seeking stable returns [1].
“It is too early to buy shares of the biggest U.S. spenders on artificial intelligence.”
This warning reflects a growing skepticism regarding the 'AI ROI' (return on investment) gap. While companies are spending billions on chips and data centers, the market is beginning to question when these costs will result in tangible profit. A shift in sentiment from the 'spending phase' to the 'monetization phase' often leads to high volatility for the companies leading the expenditure.
