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NewsTopic · 阿波罗AI收益分析Material3 min readDisconfirmAI Editorial

Apollo Chief Economist Torsten Slok: AI Benefits Concentrated in the Magnificent Seven; Other Industries See Only Costs, No Returns

Torsten Slok, chief economist at Apollo Global Management, a US asset management firm, analyzes that despite massive AI investment, profit margins and revenue per employee for US companies outside the tech sector have hardly changed, while token spending is shifting from a growth driver to a cost burden. He argues that AI excels at computation but not judgment, and commercial value ultimately depends on handling context, trust, and accountability.

2026-10-26 03:45 GMT+8

Torsten Slok, chief economist at Apollo Global Management, a major US asset management and financial investment firm, recently released an analysis with the core conclusion that despite huge AI investments and high market enthusiasm, this technology has not yet delivered any measurable financial benefits to US companies outside the tech industry.

Slok’s research framework focuses on the S&P 493 index, which deliberately excludes the "Magnificent Seven" (including Tesla, Microsoft, Nvidia, Apple, Meta, etc.). His data shows that since early 2023, revenue per employee among the Magnificent Seven has risen significantly, with profit margins climbing from around 10% in 2020 to approximately 30%. In contrast, other industries within the S&P 493 have seen their profit margins and revenue per employee remain largely unchanged, aside from minor fluctuations.

Slok explains the mechanism as follows: when AI expenditures do not appear on income statements, the business community is re-evaluating the nature of these investments. In his report for Apollo, he wrote that US businesses are reclassifying token spending from a source of growth to a cost burden. This assessment aligns with a survey by Bitkom, the German Information Technology Association, where about one-third of responding German companies reported being caught off guard by high AI costs.

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Facing cost pressures, some companies have begun adopting a so-called "Modelmaxxing" strategy, selecting different AI models based on tasks rather than always calling the most expensive flagship models. From this trend, the first startups automating model routing have already emerged.

However, Slok’s argument goes beyond cost. He posits a more fundamental judgment: AI may be an excellent computing machine, but intelligence in business is primarily about judgment. Judgment relies on context, and answers vary depending on the person or model asked. AI does not understand responsibility, trust, culture, unwritten rules, ethical trade-offs, or fairness—yet these are precisely the factors that shape reputation risk and ultimately determine revenue growth and profit margins. Therefore, he believes the final decision on AI development lies not with the Magnificent Seven, but with the S&P 493 companies that have not yet seen returns.

It should be noted that this is Slok’s analytical judgment as chief economist at Apollo, not an independently verified conclusion. The rise in profit margins for the Magnificent Seven may be driven by multiple non-AI factors simultaneously, and attributing it solely to AI requires stricter causal identification. Additionally, the definition of the S&P 493 itself excludes the most direct commercial beneficiaries of AI, making the search for AI returns within it somewhat circular. While Slok’s distinction between judgment and computation is a heuristic conceptual framework, it has not yet provided an operable quantitative standard to distinguish which business tasks truly require judgment versus those that can be replaced by computation.

Sources

  • t3n.de↗
Topic

阿波罗AI收益分析

美国资产管理公司阿波罗全球管理(Apollo Global Management)首席经济学家托尔斯滕·斯洛特(Torsten Slok)指出,尽管人工智能投资规模巨大,但科技七巨头(Magnificent Seven)以外的美国企业尚未获…

5 steps1 piecesUpdated 2026-10-26 05:41

How it got here

  1. 2026-01-28斯洛特发布报告《量化AI带来的生产力收益》,认为AI处于劳动生产率繁荣的早期阶段,在DevOps软件等领域已有显著影响。apolloacademy.com ↗
  2. 2025-09-09斯洛特援引美国普查局数据指出,拥有250名以上员工的大企业AI采用率呈下降趋势,结合MIT研究称95%的企业生成式AI投资回报为零,引发市场对AI商业化的担忧。finance.sina.com.cn ↗
  3. 2026-09-28斯洛特警告“代理银行挤兑”风险,指出Meta的Muse等AI代理可能促使家庭将现金从高息储蓄账户转移,威胁依赖低成本存款的银行体系。finance.yahoo.com ↗

What is still unsettled

  • 标普493成分股的利润率是否会在未来几个季度因AI成本优化或效率提升而出现拐点?
  • AI代理引发的“存款搬家”现象是否会实质性冲击美国银行业的净息差?
  • 随着Token价格战加剧,企业AI支出是否会从“成本中心”重新转变为“增长引擎”?
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