50% Of AI Data Centers Have Quietly Been Cancelled Or Delayed Fire Weather Watch [43QU6ebjjJp]

Tag: #Fire Weather Watch, #vfb stuttgart vs leverkusen, #mattia bellucci, #scarlett johansson

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 or code hmw50.

----

Ed Zitron's Research Blog:

Interviews on YT:

----

Sign up for our FREE newsletter! -

Books we recommend -

Listen on Spotify -

-----

My Other Channel: @HowHistoryWorks @HowMoneyWorksUncut

Edited By: Svibe Multimedia Studio

Music Courtesy of: Epidemic Sound

Select Footage Courtesy of: Getty Images

Business Inquiries

Sign up for our newsletter

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 -

-------

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 aadhav arjuna 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 oklahoma softball 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 doesnt even include non-public companies like Anthropic or Open AI (which are harder to get reliable financial data on),

This number also doesnt 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

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 italian open 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.