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Rohan Paul· @rohanpaul_ai · X·· 2026-04-30精选AI 评分71
AI 导读

《哈佛商业评论》文章指出,AI的首要经济影响并非自动化,而是制造了巨大的不确定性“迷雾”,导致“预见能力的崩溃”。这动摇了现代资本主义依赖未来“可读性”的根基,使得个人对教育投资、企业对长期雇佣与资本开支、金融市场对终值的评估均陷入犹豫。其结果是行为模式迅速转向短期视野:更倾向于模块化、可调整的投入,而非长期、不可逆的重大承诺。

推荐理由

HBR这篇文章点明了一个被忽视的效应,AI先动摇的不是就业而是经济决策的可见性。当远期现金流变得不可读,学位、招聘、投资都得重新算账,管理者和投资者的时间窗正在被动缩短。

正文 · 原文

Harvard Business Review just published a super interesting piece.

AI’s biggest shock may be that nobody can price the future cleanly anymore i.e. we all are staring at a "AI Fog"

i.e. the range of outcomes is now so wide that people cannot tell whether today’s prized skill, product, or business model will still pay off a few years from now.

AI’s first big economic effect is not automation itself, but the collapse of foresight.

The hidden cost of AI may be a collapse in conviction, as its erasing the visibility that modern finance depends on.

Modern capitalism runs on the assumption that tomorrow will rhyme with today closely enough to justify big, slow bets. On long bets like degrees, hiring plans, factories, software valuations, and infrastructure, and those bets work only when the future is readable.

All these depend on one quiet belief: the future is legible.

AI attacks that legibility before it fully rewires any one industry.

That hits workers first, because a medical degree, MBA, or coding career looks weaker when AI agents may absorb diagnosis, analysis, drafting, research, and junior software work.

That hits companies next, because stock prices depend on durable future cash flow, and terminal value breaks down when AI can erode moats in software, services, and even specialized manufacturing.

That changes behavior fast.

Students hesitate to buy expensive human capital when the job at the end may be redefined halfway through training, and companies hesitate to hire when junior work, software work, and coordination work are all moving targets.

Financial markets feel the same pressure, because once AI casts doubt on a company’s durability, the terminal value carrying much of its valuation starts to look less like math and more like faith.

So the immediate economic consequence of AI may be shorter horizons.

Less skyscraper, more tent.

Less irreversible commitment, more staged investment, modular teams, and organizations built to learn before they lock in.

It points to something subtler and probably more important: when institutions cannot see clearly, they stop making the kinds of commitments that built the old economy.

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hbr .org/2026/04/the-future-is-shrouded-in-an-ai-fog

来源:Rohan Paul · x.com