The vast majority of S&P 500 companies are talking about AI this earnings season, at least in broad strokes.
But precious few are disclosing hard numbers on how AI makes them more profitable, according to a review of Q4 earnings calls conducted by Goldman Sachs analysts.
In a note published late Tuesday, analysts with the bank found that just 1% of the members of the S&P 500 have “quantified the impact of AI on earnings.” That’s despite 70% of the blue-chip index’s members “broadly discussing AI” on earnings calls.
They wrote:
“In earnings calls, many companies have grouped AI with broader automation and productivity initiatives, making it difficult to disentangle the impact of AI specifically. 10% of S&P 500 companies quantified the productivity boost from an AI on a specific use case during their 4Q earnings calls, particularly among developers. Our economists recently highlighted softness in tech employment in recent months.”
Only two new companies quantified an AI productivity impact on their current earnings, Goldman found. One was financial analytics and ratings powerhouse S&P Global. The other was water treatment and commercial cleaning products manufacturer Ecolab.
The gap between the share of executives yapping about AI and the dearth of detail on the technology’s bottom-line impact may be part of the reason investors have gotten slightly jittery about AI during the recent flurry of earnings reports, with volatility on baskets of AI-related stocks picking up over the last month.
Investors know that tech giants are boosting the amount they plan to spend on AI investments in the coming year to over $600 billion. They also know that customers who will buy AI services from Amazon , Google, and Microsoft — to name a few — will have to see real benefits from using it.
If they don’t, the customers won’t keep paying. And there goes the hyperscalers’ ROI.
Anyway, we’re still waiting to see those benefits.