The Compute Gap: Why AI Spend Isn't Moving the Needle for the S&P 493
AI-generated image · US National Wire
Massive investments in artificial intelligence have failed to translate into bottom-line growth for non-tech corporations, according to analysis from Apollo Global Management.
For the last few years, the narrative surrounding artificial intelligence has been dominated by the scale of the investment. But as the dust settles on the initial hype, a stark reality is emerging: spending on compute does not automatically equal operational efficiency.
According to a note published by Torsten Slok, the chief economist at Apollo Global Management, as TechCrunch first reported, AI has delivered "zero financial payoff" to the vast majority of corporate America. To isolate the impact, Slok analyzed what he terms the "S&P 493"—which excludes the dominant tech titans Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla. His findings indicate that for these non-tech companies, revenue per worker and profit margins remain flat.
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**Solis's Take: Opinion**
As someone who tracks deployment over funding rounds, I find Slok's skepticism regarding the "S&P 493" grounded in a fundamental truth about the enterprise: intelligence is not the same as execution. We are seeing a disconnect where companies are buying the tools of the trade without having the operational framework to turn that "intelligence" into actual margin expansion.
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Slok argues that the challenge for these companies is the difficulty of converting "increasingly cheap intelligence" into actual profit margins or revenue growth. The bottleneck isn't the math; it's the human element. Slok notes that while AI functions as a "great calculator," business success is driven primarily by judgment.
According to the Apollo economist, AI lacks an understanding of the critical, intangible drivers that actually move the needle on a balance sheet, including:
* Accountability and trust * Corporate culture and unwritten rules * Ethical trade-offs and fairness
These factors, Slok suggests, are what shape reputational risk and ultimately drive revenue. Without these human-centric capabilities, the massive investments in AI are failing to produce the productivity gains promised by the hype. This sentiment is echoed by other recent studies cited by TechCrunch, which found that AI has yet to deliver significant productivity improvements for the broader corporate sector.