Report · businessinsider.com
Apollo says AI has delivered 'zero financial payoff' outside the tech industry

businessinsider.com
Source published October 25, 2026
Summary: 1 min read
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Summary
Apollo Global Management said its analysis finds that AI has delivered no financial payoff to corporate America outside the technology sector, even as major tech companies report gains during the AI boom. Torsten Slok, Apollo’s partner and chief economist, said mainstream companies are increasingly treating spending on AI tokens as a cost that pressures margins rather than a source of growth. Apollo compared revenue per employee, profit margins, and productivity growth. Since 2022, revenue per employee at tech companies has risen from about $550,000 to nearly $800,000, while the figure for other S&P 500 companies has remained near $550,000 for roughly seven years. Tech-sector profit margins have also climbed since 2022, while margins outside tech have stagnated at around 10%. The analysis said AI has not yet produced the broad acceleration in economy-wide productivity growth anticipated by some advocates. Slok said the central question is whether non-tech companies can convert increasingly inexpensive AI capabilities into faster revenue growth and higher profit margins as AI models become commoditized, adding that doing so may be difficult.
Key Takeaways
- Apollo Global Management said AI’s financial gains are concentrated in technology companies, including members of the Magnificent Seven such as Nvidia and Meta.
- Since 2022, tech-company revenue per employee has increased from about $550,000 to nearly $800,000, while non-tech S&P 500 companies have remained near $550,000.
- Profit margins outside the technology sector have stagnated at about 10%, according to Apollo’s analysis.
- Apollo said AI has not yet dramatically increased productivity growth across the broader economy.
What the discussion said
The thread mostly treats the headline as a warning against confusing technical availability with durable business value. Several commenters expect AI to remove clerical friction: searching corporate correspondence in ordinary language, pulling facts from scattered systems, and automating repetitive computer work. But they doubt that recovered time automatically becomes higher-value work. In many organizations, they argue, it will simply generate a larger backlog of low-value administration, while neglected tasks were neglected precisely because they were not worth paying for. The sharpest economic argument is that off-the-shelf intelligence cannot create a lasting competitive edge when every rival can buy the same tokens. Efficiency may initially lift margins, but broad adoption should expand supply and push prices down, leaving model builders or scarce complementary resources to capture the gains. Others counter that lower operating costs still improve margins unless competition immediately passes every saving to customers. Commenters also stress AI's uneven reach: language models may help desk-bound work well before they clean, stock, harvest, or deliver hands-on care. A further concern is dependency: AI assistance could make workers more productive while eroding the unaided skills needed to judge or operate without it. Overall, readers see real automation potential but little evidence that it has yet justified costly deployment outside tech.
Where opinion split
The core dispute is whether broadly available AI tools can raise profits for ordinary firms. Skeptics argue that identical tools are competitively neutral, create more low-value busywork, and eventually force savings into lower prices; optimists reply that reducing operational costs raises margins unless price competition fully and immediately absorbs the gain.
Coverage & discussions
Hacker News · businessinsider.com
Community discussions
Community Sentiment
Positives
- Plain-language access to emails, reports, and business systems could eliminate substantial knowledge-work drudgery without requiring AI to replace whole jobs.
- Cheaper inference and routing routine work to capable-enough models could make AI a practical substitute for a meaningful share of repetitive computer-based labor.
- AI may create genuine consumer value and expand output, even if the earliest profits concentrate with model providers rather than adopters.
Concerns
- Saving time on routine office work may just enlarge the pile of low-priority administration, leaving the genuinely valuable part of work unchanged or drowned in noise.
- AI remains poorly matched to the many jobs built around physical action, from cleaning and shelf stocking to harvesting and hands-on healthcare.
- Buying the same AI service as every competitor offers no durable advantage; widespread productivity gains can become lower prices instead of fatter margins.
- Heavy reliance on AI could weaken learning and independent judgment, producing workers who function better with the tool but worse when it is unavailable.
- Expensive token spending without demonstrated return makes current non-tech adoption look more like a cost center than a proven profit engine.
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