Source: https://reinouttebrake.com/stories/ai-is-making-your-life-easier-why-is-wall-street-losing-faith - [Home](https://reinouttebrake.com/) - [AI](https://reinouttebrake.com/topic/ai) - AI Is Making Your Life Easier. Why Is Wall Street Losing Faith? # AI Is Making Your Life Easier. Why Is Wall Street Losing Faith? AI stocks fell as investors questioned spending, profits and data centre rules. How the November selloff could affect your job, pension and everyday life. 7 Nov 2026 11 min read By [Reinout te Brake](https://reinouttebrake.com/about) Updated 7 Nov 2026 ![Rows of server racks at a Macquarie Telecom data centre in Sydney](https://reinouttebrake.com/assets/editorial/servers-1280.webp) Server racks at a Macquarie Telecom data centre in Sydney. Illustrative archive photograph by Lgate74, via Wikimedia Commons (CC BY 3.0). [Wikimedia Commons: Dcentre racks](https://commons.wikimedia.org/wiki/File:Dcentre_racks.jpg) · [CC BY 3.0](https://creativecommons.org/licenses/by/3.0) · [Source & licence](https://reinouttebrake.com/data#image-credits) A chatbot can help you write a difficult email, understand a confusing letter or finish work sooner. After a brutal selloff on November 5 and a partial recovery on November 6, investors are asking whether the companies behind that convenience can earn enough to pay for it. Imagine asking AI to explain a letter you have been putting off opening. A few moments later, the language makes sense. You draft a reply. Something that felt overwhelming becomes manageable. Then you open the news. The companies powering this new convenience are losing value on the stock market. On Thursday, November 5, Nvidia fell 9.3%. Fellow chipmaker AMD lost 17.3%. Alphabet, Google’s parent company, dropped 10.7%. The Nasdaq Composite fell 5.5%, according to [Cboe’s account of the selloff](https://www.cboe.com/insights/posts/market-swims-in-a-sea-of-red). Nothing in those numbers tells you that your chatbot became less useful that afternoon. They tell you that investors became less confident about the money behind it. That gap between everyday usefulness and financial expectations is the story of this AI selloff. It also explains why events that seem remote from a kitchen table in the Netherlands could eventually reach your work, your investments and the services you use. ## The morning after a very expensive Thursday Friday brought some relief. Nvidia recovered almost 3%, while the Nasdaq rose 1.1%. But the major US indices still finished the week lower, [Reuters reported after the market closed](https://live.euronext.com/en/financial-news/wall-street-stocks-rally-after-heavy-ai-related-selloff). A rebound is meaningful. It is also smaller than a reversal of everything that happened before it. For someone following the headlines casually, this can look bewildering. One day AI is an unstoppable economic force. The next, investors are running for the exits. A day later, some are buying again. The important distinction is between a product and its price on the stock market. You judge an AI service by whether it helps. An investor must also judge how much profit the company will make, how long that will take and whether today’s share price already assumes an exceptionally successful future. A company can keep growing while its shares fall. If investors previously expected even faster growth, a successful business can still disappoint them. ## The bill behind the helpful answer Your question appears in a small box on a screen. The answer depends on something much larger: chips, servers, data centres, electricity and the people and financing needed to keep everything running. A useful answer creates value for you. The supplier still has to [turn that usefulness into revenue](https://reinouttebrake.com/stories/ai-is-growing-fast-who-will-pay-for-it), cover its costs and earn a return on its investment. Those are separate achievements. Imagine a small business using AI to prepare a proposal in an hour instead of an afternoon. The business gains time. Whether the AI provider captures enough of that benefit depends on what the customer pays, how expensive the service is to deliver and what competitors offer. This is why rising usage alone cannot settle the investment argument. The underlying businesses are not uniformly struggling. In its [quarterly results published on October 28](https://www.microsoft.com/en-us/investor/earnings/fy-2027-q1/press-release-webcast), Microsoft reported revenue of $92.3 billion, up 19% from a year earlier. Microsoft Cloud revenue increased 30% to $63.9 billion. That cloud figure covers more than AI. These are substantial revenues from an established business. They do not establish that every AI investment, or every company carrying an AI label, will deliver an attractive return. ## Why the doubts caught fire this week The timing matters. The anxiety did not begin with Thursday’s falling prices. In a [November 2 examination of the market](https://www.marketscreener.com/news/october-dive-for-ai-related-shares-tests-broader-us-stock-market-s-resilience-ce785fd8de8ff524), Reuters described disappointing results from Alphabet, Amazon and Intel, alongside concerns about financing enormous investment programmes and earning adequate returns. Then the [US elections added uncertainty](https://reinouttebrake.com/stories/democrats-won-congress-what-changes-for-gaming-tech-ai-and-live-entertainment). Democratic victories increased investor concern that new data centres could face tighter restrictions. Cboe’s market commentary highlighted successful gubernatorial candidates who had campaigned on slowing construction. Reuters subsequently linked the market turbulence to fears of tighter regulation. The distinction matters: investors were pricing the possibility of disruption. The election results did not themselves create a nationwide ban on data centres. For suppliers, a delay can still matter. A later construction date can mean a later order for equipment and a later stream of revenue. Expensive financing makes waiting harder. Thursday brought several concerns into the same trading session: [the cost of expansion](https://reinouttebrake.com/stories/americas-10-trillion-ai-buildout-faces-a-delivery-problem), doubts about future returns and political uncertainty about how quickly the industry could build. It would be too simple to blame the entire selloff on one election result. It would be equally misleading to treat the election as irrelevant. ## We have watched a useful technology lose investors money before The internet offers the clearest warning against confusing a technological revolution with a guaranteed investment return. During the dotcom boom, investors correctly recognised that the internet would change business. Many paid prices that the underlying companies could not justify. In its [history of the dotcom crash](https://www.goldmansachs.com/our-firm/history/moments/2000-dot-com-bubble), Goldman Sachs records a Nasdaq decline of about 77% from its 2000 peak. The index did not reach a new all-time high until 2015. The internet kept developing during those years. The loss of investor confidence did not erase its usefulness. For a household, however, fifteen years can span a child’s school years or a substantial part of a working life. Being right about a technology’s eventual importance offers little comfort if the money you need is tied up in an investment bought at the wrong price. That is the historical comparison worth keeping. It does not predict another 77% fall. There are important differences today. The [IMF’s October 2026 financial stability briefing](https://www.imf.org/en/news/articles/2026/10/13/tr-101326-press-briefing-transcript-global-financial-stability-report-annual-meetings-2026) notes that earnings have continued to beat expectations, supporting valuations in a way that distinguishes the current episode from the dotcom period. Some central players in AI already run large, profitable businesses. That provides financial strength. It cannot make their shares immune to disappointment. ## The factory that needed more than a new motor An older comparison helps explain why benefits might arrive slowly even when the technology works. Stanford economist Erik Brynjolfsson has used factory electrification to illustrate the problem. Replacing a steam engine with an electric motor did not automatically produce the full potential gain. Factories also had to change how machines were arranged and how work flowed. In an [April 2025 discussion hosted by OpenAI](https://forum.openai.com/public/blogs/making-ai-work-for-everyone-2025), he described the need for investment in skills, business processes and organisation. OpenAI is an industry participant with a commercial interest in AI; the historical argument is Brynjolfsson’s. In a [Stanford interview published in September 2026](https://www.gsb.stanford.edu/insights/almost-every-job-has-tasks-ai-can-change), he put the timing problem plainly: “it can take years of intangible investment before measured gains materialize.” That distinction is easy to recognise at work. Giving everyone access to a chatbot is one decision. Making information reliable, deciding who checks the output and changing responsibilities takes more effort. Brynjolfsson and his collaborators describe this delay as a productivity J-curve: early investment can precede visible gains. It offers a reason to be patient about economic benefits. It does not tell an investor how long a particular company can afford to wait. ## The experts disagree about the size of the prize There is no single expert forecast that settles AI’s future. In an [August 17, 2026 ECB blog](https://www.ecb.europa.eu/press/blog/date/2026/html/ecb.blog20260817~754a8a4418.nl.html), five researchers, including Malin Andersson and Johannes Breckenfelder, argued that: “a correction of current stock market valuations is likely.” Their argument draws on earlier technology booms, including railways, electricity and the internet. They also explicitly leave room for higher valuations over time if AI proves sufficiently transformative. Their analysis is not a prediction of the date or depth of a crash, nor a formal ECB policy position. MIT economist Daron Acemoglu offers a more cautious assessment of the economic gains themselves. His [research published in Economic Policy in 2025](https://dspace.mit.edu/entities/publication/0fcf7575-a092-4728-a0c5-077beda38427) describes the effects as: “non-trivial but modest” An initial estimate puts the additional gain in total factor productivity at no more than 0.66% over ten years; a further adjustment lowers it below 0.53%. This measures economy-wide productive efficiency, rather than the growth of an individual company. It is a model based on evidence and assumptions, not a ceiling on future inventions. These views suggest different explanations for the uncertainty. The benefits may take time to emerge. They may be smaller than enthusiasts expect. Or they may be substantial while the companies providing AI capture less of the value than their investors anticipated. Thursday’s share prices cannot tell us which explanation will dominate. ## The investment you may already own You do not need to trade Nvidia shares for this to matter. Investment funds can hold the technology companies powering the AI boom. Pension funds and insurers can hold them too. A portfolio described as global may therefore carry meaningful exposure to the same small group of large US companies. In a [December 2025 analysis of Dutch financial institutions](https://www.dnb.nl/en/general-news/news-2025/dutch-financial-institutions-invest-heavily-in-volatile-tech-stocks/), De Nederlandsche Bank reported more than €200 billion in technology shares held by pension funds, insurers and investment funds. That historical snapshot illustrates the exposure; it is not a current portfolio valuation. That does not mean a bad week on Wall Street automatically reduces your pension payment. The effect depends on what your fund owns, how it manages risk and how its pension arrangements work. It does mean that “I don’t invest in AI” is worth checking against the investments held on your behalf. The same research warns that US market stress can reach European confidence, financing conditions and hiring. A distant share price can become a more familiar question: will an employer expand, postpone a project or fill a vacancy? Those are possible transmission routes, not evidence that every household will suffer them. ## Your job and the chatbot are on different clocks An AI stock market correction would not, by itself, remove the incentive for an employer to use a tool that saves time. The [International Labour Organization’s 2025 study with NASK](https://www.ilo.org/resource/news/one-four-jobs-risk-being-transformed-genai-new-ilo%E2%80%93nask-global-index-shows) found that one in four jobs worldwide was potentially exposed to generative AI. It considered transformation more likely than complete replacement. Exposure is not a forecast that one in four workers will lose their jobs. For an employee, the more immediate issue may be how the work changes. If drafting becomes faster, what happens to the time saved? Does it allow more careful work, more output or a different distribution of responsibilities? These are decisions about [how organisations use AI](https://reinouttebrake.com/ai-for-business). A falling share price does not answer them. A person can therefore benefit from AI at work while worrying about its effect on employment, and benefit as a customer while losing money as an investor. Those experiences can coexist. ## The electricity behind the screen There is another connection between the digital service and ordinary life. In its [2025 Energy and AI report](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai), the International Energy Agency projected that worldwide data centre electricity consumption would more than double between 2024 and 2030, reaching around 945 terawatt-hours in its base case. The report’s [executive summary](https://www.iea.org/reports/energy-and-ai/executive-summary) identifies AI as the largest driver of that growth, alongside other digital services. A projection is not a measured future outcome. But the physical requirement helps explain why data centres have become a political issue. A convenient answer on a phone depends on infrastructure that must be built, connected and supplied. This does not establish that a Dutch household’s next energy bill will rise because of AI. Local prices, network rules and investment decisions matter. It does establish why questions about the location of data centres, their electricity supply and who pays for expansion belong in the public debate. ## Could the tool get cheaper while its supplier becomes less valuable? Yes. That is one plausible outcome. In its [April 2025 financial stability analysis of DeepSeek](https://www.imf.org/-/media/Files/Publications/GFSR/2025/April/English/text.ashx), the IMF explained how lower-cost AI could undermine earnings expectations for infrastructure suppliers while reducing costs and widening adoption. For a user, cheaper access could be welcome. For a company whose valuation depends on expensive infrastructure remaining in high demand, the same development can be uncomfortable. The reverse pressure is possible too. A provider struggling to fund its service could try higher prices or stricter usage limits. That is a business scenario, not an announced consequence of this week’s selloff. This is why the question “Is AI sustainable?” needs two answers. Can useful services be delivered at a cost customers will support? And can today’s suppliers earn the profits assumed in their share prices? A positive answer to the first does not guarantee a positive answer to the second. ## The next few years will test who actually gets paid A cautious reading of the evidence points towards a more demanding period for AI businesses, with greater attention to paying customers, delivery costs and returns on investment. That is an assessment, not a forecast of a continuous stock market decline. If adoption produces durable profits, growing earnings could support valuations. If returns disappoint, suppliers may reduce investment, consolidate or fail, even while customers continue using AI. If financing and investment weaken together, the effects could spread further. The [IMF’s October 2026 risk assessment](https://www.imf.org/en/blogs/articles/2026/10/12/global-financial-markets-face-rising-risks-from-ai-bond-yields-and-cyberattacks) highlights [growing borrowing and financial links between AI companies](https://reinouttebrake.com/stories/ai-financing-through-spvs-quietly-shifts-risk-and-debt). Those connections can transmit trouble: one company’s spending is another company’s expected revenue. The questions to watch are consequently practical. Are customers renewing and paying more? Are useful services becoming cheaper to deliver? Are investments producing cash, or depending on another round of financing? For an ordinary household, the corresponding questions are closer to home. How much of your savings depends on these companies? How is AI changing your work? How dependent are you becoming on a service whose future price and terms you do not control? The reassuring part of history is that a financial correction need not destroy a useful technology. The uncomfortable part is that the benefits and losses can land with different people. You may open that difficult letter tomorrow and still find AI helpful. The answer on your screen can be worth something to you even while the company behind it is worth less on the stock market. The coming years will show whether that everyday value can support the business built around it. Filed under [Artificial Intelligence](https://reinouttebrake.com/category/artificial-intelligence)[Business & Economy](https://reinouttebrake.com/category/business-economy) ## Tags - [AI investment](https://reinouttebrake.com/tag/ai-investment) - [AI productivity](https://reinouttebrake.com/tag/ai-productivity) - [AI stocks](https://reinouttebrake.com/tag/ai-stocks) - [Alphabet](https://reinouttebrake.com/tag/alphabet) - [Data centres](https://reinouttebrake.com/tag/data-centres) - [Dotcom bubble](https://reinouttebrake.com/tag/dotcom-bubble) - [Future of work](https://reinouttebrake.com/tag/future-of-work) - [Microsoft](https://reinouttebrake.com/tag/microsoft) - [Nvidia](https://reinouttebrake.com/tag/nvidia) - [Pensions](https://reinouttebrake.com/tag/pensions) Written by [Reinout te Brake](https://reinouttebrake.com/about) Gaming · AI · Tech · Entertainment · Dance Entrepreneur, consultant, investor and board member with 20+ years in tech and gaming, spanning business strategy, development, publishing, growth and investment. [Share on WhatsApp](https://wa.me/?text=AI%20Is%20Making%20Your%20Life%20Easier.%20Why%20Is%20Wall%20Street%20Losing%20Faith%3F%0Ahttps%3A%2F%2Freinouttebrake.com%2Fstories%2Fai-is-making-your-life-easier-why-is-wall-street-losing-faith)[Share on LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Freinouttebrake.com%2Fstories%2Fai-is-making-your-life-easier-why-is-wall-street-losing-faith)[Share by email](mailto:?subject=AI%20Is%20Making%20Your%20Life%20Easier.%20Why%20Is%20Wall%20Street%20Losing%20Faith%3F&body=https%3A%2F%2Freinouttebrake.com%2Fstories%2Fai-is-making-your-life-easier-why-is-wall-street-losing-faith) Cite this article Reinout te Brake. AI Is Making Your Life Easier. Why Is Wall Street Losing Faith? (7 Nov 2026). [https://reinouttebrake.com/stories/ai-is-making-your-life-easier-why-is-wall-street-losing-faith](https://reinouttebrake.com/stories/ai-is-making-your-life-easier-why-is-wall-street-losing-faith) [Article data (JSON)](https://reinouttebrake.com/data/articles/ai-is-making-your-life-easier-why-is-wall-street-losing-faith.json)[Full article text](https://reinouttebrake.com/stories/ai-is-making-your-life-easier-why-is-wall-street-losing-faith.txt)[Markdown](https://reinouttebrake.com/stories/ai-is-making-your-life-easier-why-is-wall-street-losing-faith.md) Next / Read ## Related reading Follow the subject further. ![Rows of server racks at a Macquarie Telecom data centre in Sydney](https://reinouttebrake.com/assets/editorial/servers-1280.webp) [Image: Lgate74](https://reinouttebrake.com/data#image-credits) Related analysis AI 3 Nov 2026 ### [AI Is Growing Fast. 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[Read analysis](https://reinouttebrake.com/stories/americas-10-trillion-ai-buildout-faces-a-delivery-problem) ![Rows of server racks at a Macquarie Telecom data centre in Sydney](https://reinouttebrake.com/assets/editorial/servers-1280.webp) [Image: Lgate74](https://reinouttebrake.com/data#image-credits) Related analysis AI 22 Nov 2025 ### [AI Infrastructure Financing: SPVs, Leases and Hidden Exposure](https://reinouttebrake.com/stories/ai-financing-through-spvs-quietly-shifts-risk-and-debt) How SPVs, leases and private credit finance AI infrastructure, using Meta’s Hyperion project to examine where debt and long-term risks sit. 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