50% Of AI Data Centers Have Quietly Been Cancelled Or "Delayed"

Thanks to Monarch for partnering with me! Start your free trial and get 50% off your first year of total money clarity using my link https://monarchmoney.yt.link/HpRF1PA or code hmw50. ---- Ed Zitron's Research Blog: https://www.wheresyoured.at/ Interviews on YT: https://youtu.be/nxUEOdC4VzU?si=rNRMW_VlZljJZqf3 ---- Sign up for our FREE newsletter! - https://www.compoundeddaily.com/ Books we recommend - https://www.howmoneyworkslibrary.com/ Listen on Spotify - https://open.spotify.com/show/5gi1JobDJC3QqaF4aKfenR?si=f3IsgWIlSKObF8BT1Fitig ----- My Other Channel: @HowHistoryWorks @HowMoneyWorksUncut Edited By: Svibe Multimedia Studio Music Courtesy of: Epidemic Sound Select Footage Courtesy of: Getty Images 📩 Business Inquiries ➡️ [email protected] Sign up for our newsletter https://compoundeddaily.com 👈 All materials in these videos are for educational purposes only and fall within the guidelines of fair use. No copyright infringement intended. This video does not provide investment or financial advice of any kind. ai nvidia money - Sources - https://www.wsj.com/tech/ai/tech-ai-spending-company-valuations-7b92104b https://www.statista.com/chart/35046/capital-expenditure-of-meta-alphabet-amazon-and-microsoft/?srsltid=AfmBOorWVVtDqk_mQJvCr5-CW5-fQ-Vg1laa4rDxT125aBkQJKz3eCHw https://www.census.gov/construction/c30/pdf/privsa.pdf https://www.nytimes.com/2026/04/02/technology/openai-buys-tbpn.html https://www.bloomberg.com/news/articles/2026-02-06/how-much-is-big-tech-spending-on-ai-computing-a-staggering-650-billion-in-2026 https://futurism.com/science-energy/data-centers-construction-supply https://www.macrotrends.net/stocks/charts/NVDA/nvidia/inventory https://finance.yahoo.com/news/nvidia-ceo-jensen-huangs-joke-014019355.html https://www.goldmansachs.com/insights/articles/ai-to-drive-165-increase-in-data-center-power-demand-by-2030 https://www.bloomberg.com/news/articles/2026-03-06/oracle-and-openai-end-plans-to-expand-flagship-data-center https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai https://www.cnbc.com/2025/10/01/microsoft-wants-to-mainly-use-its-own-ai-chips-in-the-future.html https://www.bloomberg.com/news/features/2026-04-01/us-ai-data-center-expansion-relies-on-chinese-electrical-equipment-imports https://finance.yahoo.com/quote/NVDA/balance-sheet https://www.reuters.com/world/china/big-techs-635-billion-ai-spending-faces-energy-shock-test-sp-global-says-2026-03-31/ https://www.businessinsider.com/greg-jensen-michael-burry-nvidia-chips-ai-depreciation-big-short-2025-11 https://www.reuters.com/business/media-telecom/nvidia-rebuts-critics-memo-analysts-amid-pushback-campaign-2025-11-27/ ------- In 2025 the world's largest companies reportedly spent around 400 billion dollars on capital expenditures to support the development of artificial intelligence. Adjusted for inflation that would be 9 Manhattan Projects or 2 Apollo Programs, all within the space of just one year, and just on the infrastructure alone. Put another way, last year more money was set aside for constructing and fitting out data centers than was spent on building single family residential homes over the same time, and this number doesn’t even include non-public companies like Anthropic or Open AI (which are harder to get reliable financial data on), This number also doesn’t include any of the other costs outside of just building and fitting out the facilities themselves, like staffing, energy, security, and uhhh… “strategic acquisitions” like… podcasts… [this is open news now everybody is making fun of it] These numbers are also only for 2025 and of course, recent announcements suggest that spending this year will once again break new records… Now the (borderline comical) numbers being thrown around in the AI industry may not be that surprising to any of you anymore, but it has also been almost 4 years since this technology really came onto the scene with the first public release of ChatGPT… In that time, not a single one of these companies has figured out how to turn a profit with this technology, even when using generous financial projections and accounting tricks… The exception to this, of course, has always been… Nvidia, (alongside the other hardware suppliers and chip manufacturers upstream of them). The classic analogy (that you are probably sick of hearing by now) is that all of this may very well be an unsustainable gold rush, but the hardware companies are the ones making reliable profits by selling the pickaxes and the shovels… however… by following the numbers it has raised some… questions about where these shovels are actually ending up.