AI 在科技圈外尚无回报迹象
论证要点
- 科技七巨头的员工人均收入和利润率在上升，而标普 493 企业则持平，显示 AI 收益高度集中于科技行业。
- 没有迹象表明 AI 提升了整体生产率增长，主流企业因看不到底线影响而开始将 token 支出视为成本中心而非增长来源。
- 风投支持的公司增加 token 支出，但主流企业不需要最新模型也不愿付费，AI 应用仍局限于经济的一小部分。
- 未来问题是：即使模型商品化，主流企业能否将廉价智能转化为更高的收入增长和利润率？这可能比听起来更难。
- AI 或许是强大的计算器，但商业中的智能主要是判断力，而判断依赖语境，且答案因人或模型而异。
- AI 不理解问责、信任、文化、潜规则、伦理权衡或公平，这些塑造声誉风险并最终驱动收入增长和利润率。
对实践的启示
对 AI 应用从业者而言，需关注非科技企业的实际落地障碍：AI 无法替代判断力、问责和文化等软性要素。若无法证明对收入和利润的直接贡献，主流企业将持续把 AI 支出视为成本，而非增长引擎。
原文摘引
Revenue per worker is rising for the Mag 7 but is flat for the S&P 493
AI may be a great calculator, but in business, intelligence is mostly judgment.
The bottom line is that the AI story will be decided in the S&P 493, not the Mag 7
▸ 展开原文全文（7 段，抓取自 Hacker News 首页）
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No Signs of AI Payoff Outside the Tech Sector
Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech. Revenue per worker is rising for the Mag 7 but is flat for the S&P 493, see the first chart below. Profit margins are rising for the Mag 7 but are flat for the S&P 493, see the second chart below. And there are still no signs of AI boosting productivity growth, see the third chart below. With no impact on the bottom line, mainstream corporate America is pulling back and starting to view token spending not as a source of growth but as a cost center that weighs on margins.
VC-backed companies are spending more and more on tokens, but mainstream corporate America does not need the latest model and is unwilling to pay for it. As long as agentic AI and token spending are confined to a small part of the economy, the macroeconomic effects of AI will be very limited, see the fourth and fifth charts below.
The question looking ahead is whether, even as models become commoditized, mainstream corporate America can turn increasingly cheap intelligence into higher revenue growth and higher profit margins. That may be harder than it sounds. AI may be a great calculator, but in business, intelligence is mostly judgment. Judgment depends on context, and the answer varies with which human or which model you ask. Perhaps most importantly, AI does not understand accountability, trust, culture, unwritten rules, ethical trade-offs or fairness, all of which shape reputational risk and ultimately drive revenue growth and profit margins.
The bottom line is that the AI story will be decided in the S&P 493, not the Mag 7, and so far, there is no evidence that revenue growth or margins are improving outside the tech sector.