The buzz around Artificial Intelligence is impossible to ignore, with billions being invested. But a sobering new analysis from investment giant Apollo Global Management suggests the promised financial payoff has yet to arrive for most companies.
The 'Zero Payoff' Claim
In a
widely circulated note, Apollo's Chief Economist Torsten Slok made a stark claim: AI has so far delivered 'zero financial payoff' to companies outside of a handful of tech giants. The analysis argues that despite massive hype and investment, there is no broad evidence of improved revenue or profit margins for the vast majority of corporate America. This conclusion stems from a deep dive into the performance of the S&P 500, but with a crucial twist. Instead of looking at the index as a whole, Apollo separated the top tech titans from everyone else.
Understanding the 'S&P 493'
The key to Apollo's assessment is the 'S&P 493'. This term refers to the S&P 500 index with the 'Magnificent Seven' companies removed: Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla. These seven companies have been responsible for a disproportionate amount of the S&P 500's overall gains in recent years, largely fuelled by the AI boom. By isolating the other 493 companies, Apollo aimed to see if the productivity gains and profits promised by AI are trickling down to the wider economy. The data suggests a major disconnect.
A Tale of Two Markets
The performance gap is significant. According to Apollo's charts, the revenue per employee for the Magnificent Seven has surged from about $550,000 in 2022 to nearly $800,000 in 2026. For the S&P 493, that same metric has remained flat at around $550,000 since 2019. The story is similar for profit margins. The Magnificent Seven's margins are approaching 30%, while the rest of the index has been stuck around 10% since before the pandemic. This suggests the economic benefits of the AI boom have, so far, been highly concentrated among the technology providers and largest players, not the companies actually using the new tools.
From Growth Driver to Cost Centre
Slok argues that many mainstream companies are beginning to view their spending on AI not as a guaranteed source of growth, but as a cost centre that is weighing on their margins. This is because turning AI's potential into concrete revenue and profit is proving harder than it sounds. While AI can boost individual employee efficiency, that doesn't automatically translate to bottomline financial results unless the saved time is used to cut costs or increase sales. Furthermore, Apollo's research indicates that most businesses do not need the most advanced, expensive 'frontier' AI models and are unwilling to pay for them, a sentiment echoed by some industry leaders.
What This Means for Investors
Apollo's analysis serves as a reality check on the AI revolution. It highlights that the ultimate success of AI won't be decided by the performance of a few tech giants, but by its adoption and profitability across the broader S&P 493. For now, the promised economywide productivity boom has not appeared in the data. Investors are now scrutinizing AIrelated spending more closely, questioning whether the massive capital expenditures will eventually be justified by revenue. The gap between the AI haves and have nots is a critical trend to watch, as it will determine whether the technology lives up to its transformative potential for the entire economy.
