Reel by Business Insider

Business Insider@businessinsider
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We may already be facing AI's biggest risk. But the stock market isn't buying it. Warnings about AI becoming an existential threat have quickly moved from a fringe concern to an international talking point, with major tech figures calling for a slowdown. Executive editor Joe Ciolli draws a parallel to the aftermath of the 2008 financial crisis, when investors, financial institutions, and regulators changed their behavior after seeing how badly things could go. Read more about how the market is responding to the AI debate at the link in our bio. #AI #stockmarket #investing #technology #markets #firsttrade

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@brickdon.official AI may end civilization, but the stock market is calm. Finally, a market that understands my governing style.

@mr.irdi Everybody knows that; everybody knew that ages ago, and now we report it for some views. It's going to happen, not between us, but between them and us.

@andro_bp Remember Y2K… 🤦🏾‍♂️🤦🏾‍♂️

@marcokazaki The current AI investment frenzy mirrors a real estate bubble, driven by a product-out structure where supply precedes real demand. US hyperscalers continue their chicken race, stockpiling data centers and GPUs based on the scaling law belief that more investment yields infinite performance. However, if Chinese firms dump high-performance models practically for free under state backing, US paid API businesses will face price collapses, ruining expected ROI. Unlike real estate, AI infrastructure is a short-lived commodity that becomes obsolete in years; without corporate demand, massive CapEx will dissolve into depreciation. This endless race will inevitably face a forced stop due to data/power limits, shareholder backlash, or national security splits. Survival hinges not on model intelligence, but on a platform strategy—using AI as a loss leader to lock users into existing cloud ecosystems and business workflows. In the AI ​​business, the computational costs (inference costs) of the servers directly increase with each increase in users and usage, making it difficult to achieve the "zero marginal cost" (a state where additional usage costs are virtually zero) that is common in traditional IT.

@thegreen.ceo They wouldn't automatically do that unless hacked to do that. That's the only problem

@selfzatur 🫧

@dylanflowang they said they will slow down carbon emissions as well, guess what?

· 6 likes

@sharm_asurbhi07 🙌🙌❤️❤️

· 1 likes

@sharm_asurbhi07 😍😍😮😮

· 1 likes

@sharm_asurbhi07 ❤️❤️🙌🙌

· 1 likes

@lilmisscutie.770 😍😍😍

@lilmisscutie.770 😮😮😮

@lilmisscutie.770 😂😂😂

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