by Brian Shilhavy
Health Impact News

The AI bubble and impending financial collapse is now being reported more than ever before.

And while the corporate media and even the alternative media are still participating in the AI Con with doomsday scenarios about computers becoming smarter than humans and “rogue AI agents” threatening our very existence, more and more people are drawing back the curtain and noticing that there is actually nothing there, and that most of what is being published in the media about AI is NOT real science, but simply science fiction.

At some point reality and the truth about AI will become evident to all, but will that time come before the entire economy of the U.S. is completely destroyed by what is being described as “The largest misallocation of capital in history“?

AI Fantasies Have Become a Dangerous CULT!

After I published my last update on AI, Is AI a Threat to “Destroy Humanity” or is the Real Threat Those Who Control the Technology?, I received several comments from a reader that probably totaled over 3000 words “explaining” to me how wrong I was to not fear AI, claiming supernatural evil powers were evolving from it.

And the kicker?

This commentor admitted that HE HAD NOT EVEN READ MY ARTICLE yet.

This is called “a Cult“, because it is a belief system that will withstand any amount of logic or truth you throw at it, because most of the time they will not even read or listen to anything that contradicts their belief system, and their “mission” to warn the world about the doomsday future ahead where AI takes over everything and replaces humans.

The AI CON

Let’s start with the AI Con first, which is what is fueling the AI Cult. The AI CON is the title of a new book that was co-authored by Dr. Emily Bender.

And while I have not read this book, I am very familiar with the work of Emily Bender. Like myself, Dr. Bender has a background in linguistics and technology, and is a Professor of Linguistics at the University of Washington where she is also the Faculty Director of the Computational Linguistics Master of Science program.

Dr. Bender co-authored an article that was recently published in The MIT Technology Review titled “Don’t be fooled by this summer of AI hype“.

Breathless claims about AGI and new capabilities fall apart pretty quickly under scrutiny.

Excerpts:

It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models.

This was followed by Anthropic’s claim that one of its models had made a mathematical breakthrough; soon OpenAI claimed a mathematical breakthrough of its own. Most recently, Anthropic engineer Jacob Coxon went viral announcing his departure from the company, claiming that it and OpenAI are “racing straight towards self-improving superintelligence and gambling with our lives.”

Each of these events was mostly covered breathlessly by the press, often repeating the companies’ anthropomorphizing framings—which are designed to portray their software is not only powerful but incipient “artificial general intelligence.”

So what is really going on? Are we witnessing a massive, civilization-changing set of technological breakthroughs, or is this marketing?

In all these incidents, massive fanfare from the companies (presented as mea culpas in illicit hacking cases) is accompanied by intense press coverage. Once there is time for experts in the relevant fields to examine what happened, a very different story emerges, but one that gets less media attention.

Regarding the “hacking” incidents, cybersecurity experts say the story is more about OpenAI’s negligence and failure to adopt basic, established security practices than about “models gone rogue” or “AI agents creating civilizations.”

As for the mathematical results, mathematicians who were initially “stunned” by OpenAI’s press release saying that its latest chatbot, Astra, solved problems that “have been open and seen no progress on the main result for at least a decade” later realized that the results weren’t as “novel as first appeared.”

Since then, mathematicians have accused the company of research misconduct and plagiarism, and they’ve reiterated that Astra didn’t make a “profound intellectual leap.” Just weeks later, OpenAI claimed its own mathematical breakthrough.

Two days before, Tristan Buckmaster, a math professor at New York University’s Courant Institute, published a bombshell statement suggesting that OpenAI had stolen other people’s work and improperly attributed it.

Claims of incipient, dangerous superintelligence are not based in good scientific or engineering practice. Rather, they are narratives based in ideologies of transhumanism, eugenics, and wishful thinking about imagined future digital humans.

Instead of OpenAI being prosecuted for creating malware that hacked another company, press releases, news outlets, media personalities, and lawmakers refer to “rogue models” as if they acted on their own.

Instead of researchers being questioned about their companies’ habit of plagiarizing academics’ work or using customer data to train models without consent, the public’s imagination is redirected to fears about what the future might hold upon the arrival of fictional superintelligent machines.

Full Artice.

The AI Financial Apocalypse is now Widely being Reported

If you search beyond the AI hype and religious fever producing their click-bait “news” which everyone prefers reading about these days, you will find genuine fear and concern about where all this massive AI spending is leading us.

“Apocalyptic” is not really hyperbole when you drill down to the facts, instead of reading the hype.

It just isn’t making it into most of the corporate news feeds, because the facts don’t sell as well as the hype.

Here are some examples that you maybe missed from your news sources recently.

It’s Looking Possible That Zuckerberg Is Accidentally Committing Corporate Suicide

“The largest misallocation of capital in history.”

Excerpts:

Meta CEO Mark Zuckerberg has made the rash decision to double-down on massive AI spending, pushing a cutesy AI-mascot and poaching tech industry veteran Chirantan Desai to run a new division pushing Meta’s AI onto corporate customers.

The company’s investors, however, appear to be running out of slack for Zuckerberg’s leash. Since Friday of last week, a large sell-off in Meta stocks shrunk his paper fortune by nearly $20 billion, after Goldman Sachs began raising doubts about the long-term viability of the company’s AI ambitions.

It raises the question as to how much capital will be made available to satisfy the tech industry’s pie-in-the-sky AI push, and whether it can ever achieve revenue that would offset it.

In addition to Goldman Sachs’ gloomy outlook for Meta, hyperscalers as a whole face what appears to be an insurmountable challenge in turning AI into a profitable venture. As Bloomberg reported, the major management consulting firm Bain and Co recently penned an analysis finding that the AI industry will need to reach an annual revenue of $6 trillion by 2031 if tech leaders continue along their current spend-happy trajectory.

Doing so will require leaps in technological progress the likes of which are unprecedented in the information age — well beyond past innovations embodied by world-changing consumer tech like smartphones, for instance.

If we take the cynical path and assume that the AI industry won’t be able to pull off this miracle, then any major tech firm currently doubling down — like Zuckerberg’s Meta — will have functionally spent the better part of the 2020s rigging up their own corporate noose.

As finance professor at the University of Pennsylvania’s Wharton School Jessica Wachter penned in her own analysis of the AI financial bubble, if the promised money shower “fails to materialize,” then future historians will look back on this moment as the “largest misallocation of capital in history.”

Full Article.

And here’s another article from the latest The MIT Technology Review that does a deep dive into current AI spending, which also looks at Jessica Wachter’s analysis, and where this is probably leading us.

What’s at stake in AI’s trillion-dollar gamble

The AI hyperscalers will likely spend more than $1 trillion on data centers next year. Can they make enough money to sustain the infrastructure boom?

Excerpts:

When Jessica Wachter, a finance professor at the University of Pennsylvania’s Wharton School, wanted to assess AI’s impact on the economy over the next few years, she faced a long list of business and technical uncertainties. So she started with what she calls a “remarkable fact” that is not in question: A handful of so-called hyperscalers are investing huge amounts of money to build AI data centers.

Instead of trying to predict how useful and widely deployed AI models will be, she simply asked how fast the hyperscalers’ earnings will need to grow to justify their spending through 2027, when—she and her collaborator estimate—expenditures will reach nearly $1.1 trillion. It’s a no-nonsense accounting approach to making sense of today’s historical AI buildout.

The results are eye-opening: The AI companies will need to increase their own productivity by a factor of 2.7 to break even by 2030, accounting for the cost of capital, a 15% return, and depreciation of the assets.

If a productivity boom “fails to materialize,” she and her coauthor conclude in their research paper, “the current buildout will be the largest misallocation of capital in history.”

It doesn’t take superintelligence to realize that today’s large investments in the infrastructure for artificial intelligence come with huge risks. The hyperscalers will spend about $750 billion this year, building massive data centers scattered across the country.

And the spending spree shows no signs of slowing. According to some projections, total AI capital investments from the hyperscaler companies—Alphabet, Microsoft, Amazon, Meta, and Oracle (which partners with OpenAI)—could be more than $5 trillion over the next four years.

It’s one of the largest capital investments by any industry in history.

But there’s a problem that’s obvious to anyone paying attention.

While the hyperscalers plan to spend trillions, total AI revenues will be around $150 billion to $200 billion this year, says Gary Gensler, who ran the SEC during the Biden administration and is now a professor at MIT’s Sloan School.

“The challenge is that the spending does not have commensurate revenues yet. That’s a fact,” he says.

“And then the question is, is that an investment that will be paid off in the future?”

At stake in that trillion-dollar question is the financial health of the giant AI companies and the overall US economy—the investments could soon balloon to around 3% of GDP. The answer could also determine the fate of the hugely expensive data centers themselves.

The risks, both to investors and to the economy, have become even greater this year, as these AI companies have begun borrowing large amounts of money to build more and more data centers. Free cash flow—operating cash flow minus capital expenditures—is expected to soon dip into negative territory for the group.

Even Alphabet, known for generating and hoarding huge amounts of cash, reports in the latest quarter that its impressive revenues of nearly $120 billion were devoured by AI infrastructure spending, leaving it with a free cash deficit of some $5.9 billion—its first shortfall since Google went public in 2004.

Debt is expensive, and some investors are losing patience. If future demand for the data centers’ computation power drops, the companies will still be on the hook to pay back the borrowed money. What’s more, the risks are spreading to the rest of the economy as the loans get passed along via various financial mechanisms.

It won’t be enough to simply cover the enormous price tags of the new data centers. Hyperscalers will also have to pay for the rising costs of capital as they borrow more money.

They will need returns that are impressive enough to justify all their spending to investors and creditors. And to add to those concerns, they will have to make up for the depreciation of billions of dollars in chips housed within the facilities—a ticking time bomb buried in the investments.

Performance of the expensive GPU chips at the core of the data centers—such compute electronics represent some 60% of costs—is roughly doubling every two years or so.

Owners of AI data centers that come online this year and next will need to spend billions more on the next generation of chips by the end of the decade if they want to stay competitive.

Without the investments, says Mihir Kshirsagar at Princeton’s Center for Information Technology Policy, the data centers risk becoming “hulks,” stranded assets “scattered all over the place.”

To put it bluntly: The AI companies need to start making a lot more money. And they need to do it fast. But juicing their earnings alone still won’t be enough to sustain their data-center investments for the long term.

At some point, AI is also going to have to create broad economic growth to justify continuing the hyperscalers’ spending spree.

Sloan’s Gensler describes today’s large investments into AI infrastructure as “a parlay bet by the capital markets and the economy.” That means success will require winning three related but independent wagers: Hyperscalers must generate massive revenues, AI must boost widespread economic growth, and both must happen while the powerful but expensive so-called frontier models that rely on the data centers fend off cheaper versions, which many businesses might find good enough.

What makes this so tricky is that each wager depends on the other two but also poses its own challenges.

We’re all part of the AI gamble now

It was one thing when the AI companies were spending cash they had accumulated over the years to build their own data centers. Then the risk was largely limited to their own balance sheets and shareholders.

But it’s a higher-stakes game when much of the money is borrowed. Morgan Stanley, for one, calculates that more than half of the $2.9 trillion that hyperscalers will spend between 2025 and 2028 to build AI data centers will be financed with “external capital.”

The borrowing is leading some of the companies to engineer complex webs of financing that are becoming intertwined with much of the rest of the economy.

“A lot of financial institutions, directly or indirectly, are exposed to these data centers either as lenders, or as guarantors of some of the debt, or as backers of the private credit funds who are funding these data centers,” says Columbia’s Van Nieuwerburgh.

“People don’t even know they’re holding this stuff. It’s somewhere deep inside their pension fund. Ultimately, it’s backing their life insurance policies. And that risk is getting distributed everywhere in places that are invisible.”

As the investments in data centers have spiked, the financial engineering has become more byzantine.

Take, for example, Meta’s so-called Hyperion data center under construction in Richland, Louisiana. When the company announced the two gigawatts of compute capacity at a price tag of some $10 billion in late 2024 it was Meta’s largest planned data center.

Greeted with much enthusiasm by state and local politicians, the project, located in the rural northeast corner of the state, was seen as a boon to the community. Entergy Louisiana, the state’s largest utility, rushed forward with proposals to build three large natural-gas power plants to service the massive data center.

Then last fall—the projected cost was now $30 billion—the financing got a lot more complex and, to some in the community, a lot more disconcerting. Meta transferred an 80% stake to the large (and troubled) private-credit firm Blue Owl Capital, forming a joint venture called Beignet (like the famed New Orleans pastry) to raise financing for the data center.

Meta then signed a series of four-year leases with the joint venture, an arrangement that the company says gives it “long-term strategic flexibility.” To backstop the agreement, Meta provides the venture with what is called a residual value guarantee, in which it will make a cash payment to cover the value of the facility “following any non-renewal or termination of a lease.”

Got all that?

I hope so. The financial wheeling and dealing is actually even more convoluted, with a cast of wholly owned subsidiaries and LLCs. Beignet has set up Laidley LLC, which owns and operates the site as the landlord.

In turn, Laidley leases the facilities to Meta’s wholly owned subsidiary Pelican Leap LLC, which is the tenant. And there is a series of four-year leases that cover the different buildings that make up the data center campus.

It’s not a coincidence, says Van Nieuwerburgh, that the length of the leases matches the expected lifetime of the data center’s GPUs. While Meta has to pay off its loan if it terminates the leases early, that will still leave its investors

“with an empty building and no cash flow,” he says.

“And then they need to find a new tenant for a huge data center, and good luck with that.”

After the bubble

Predicting when the AI investment bubble will burst is a fool’s errand.

But there is little doubt a day of reckoning is coming, given the irrational exuberance that has overtaken the hyperscalers and their investors.

Of course, you might argue that this time is different, and that the rules of accounting and lessons of economic history don’t apply—that AI is too transformative.

Maybe, but don’t count on it.

Read the full article.

Here are a few other articles from The Information (subscription needed to read the full articles) on AI finances that have been published recently showing the increasing debt to fund AI build-outs.

Cracks Emerge in AI’s Debt-Fueled Data Center Boom

Excerpts:

Bond markets are getting tough for lower-rated borrowers. One example: CleanSpark, which is developing a data center for Meta Platforms, had to offer investors big concessions to land financing earlier this month.

That deal is among the clearest signs yet that financing the data center boom is getting expensive across the board, and investors are getting picky about which new projects they’ll back. The bank loan market too is showing signs of strain, with some lenders like Société Générale, Sumitomo Mitsui Banking Corp. and Mitsubishi UFJ Financial Group becoming more selective in lending to data center projects, people arranging the deals say.

Those dynamics mean companies could struggle to borrow for planned data centers, jeopardizing growth plans for the broader AI industry.

Pressures on the AI financing market are coming from a number of different directions. Big data center operators like Amazon, Google and Microsoft will together spend some $700 billion on capital expenditures this year, and are expected to continue at around that level the next few years. They’ve issued nearly $160 billion in investment-grade debt this year, flooding the market with new supply.

That hyperscaler debt is getting more expensive relative to other highly rated corporate bonds, though the tech companies generate enormous operating cash flows. The extra yield investors are demanding to hold hyperscaler debt has risen by about 0.25 percentage points this year, compared with just 0.04 percentage points for the broader investment-grade market.

At the same time, several of these big tech companies are offloading spending onto other ventures raising money in the high-yield bond market. Meanwhile, developers building data centers for AI firms like Anthropic and OpenAI are leaning on the market too.

All told, the high-yield market has seen around $55 billion of AI-related bonds sold this year.

AI Risks, Macro Volatility Collide

Meanwhile, government bond yields are spiking, fueled in part by fears that persistently high inflation will prompt aggressive Federal Reserve interest rate hikes.

The AI boom itself is adding to the pressure—Fed Chair Kevin Warsh said last week that government yields have climbed in part because heavy tech debt issuance is crowding out investors.

Read the Full Article.

AI Data Center Debt Is Showing Up Everywhere

Excerpts:

Debt financing for data centers and related infrastructure has grown rapidly enough that it’s become its own category these days—credit analysts are breaking out AI versus non–AI-linked debt across markets to analyze new issuance and performance. Several asset managers in recent months have filed to create exchange-traded funds focused on AI or AI infrastructure–related debt.

And right now, parts of this category aren’t doing so hot.

There’s a lot going on, from wider spreads on tech giants’ corporate debt in the investment-grade market; to investors demanding bigger concessions in recent bonds for AI data center projects in the high-yield market; to skittishness in the bank loan market for AI project financing. Investors are getting choosier and taking a harder look at project-specific construction and other risks.

Zeroing in on the high-yield market in particular, there’s a group of bonds that anyone with an interest in the AI build-out should be keeping an eye on. Overall, there have been at least 20 high-yield bond deals financing data center projects over the past 12 months.

The companies behind these projects, such as CleanSpark or TeraWulf, are hardly household names, and the project debt is often issued through even more obscure special purpose entities.

But if you do a little digging, many of the biggest names in AI show up connected to these data center projects in some form, as direct tenants, customers of the tenants or providing some kind of credit support to get the financing done. That means markets for lower-rated issuers are financing at least some of the infrastructure supporting the biggest AI companies.

Full article.

Wall Street and Silicon Valley Split Over AI’s Price Tag

Excerpts:

Shifting economic forces are driving a widening divide between the financial views of Silicon Valley and Wall Street, clouding the outlook for trillions of dollars invested in AI.

Stock market angst has already caused delays for several medium-sized initial public offerings, and it is starting to cool once-red hot sentiment about Anthropic’s giant IPO, which is coming later in the year than investors expected.

While venture capitalists are still tripping over each other to invest at ever loftier valuations in AI startups showing any sign of traction, public market investors say they are retreating to big, safe stocks and growing skeptical about a flurry of data center companies trying to go public amid rising interest rates and high oil prices.

“Anything going public today needs to be priced right, and I don’t see it,” Samantha Lau, chief investment officer of small and mid-cap growth equities at asset management firm AllianceBernstein, referring to the IPO market overall.

“The only way to open the market is to be conservative.”

Leading AI companies like OpenAI and Anthropic will likely require a steady stream of financing, even after their IPOs, to help pay for their hundreds of billions of dollars worth of data center commitments.

Anthropic, for example, had committed to agreements for at least 14.8 gigawatts of compute capacity that could cost well over $500 billion over the next decade, The Information reported earlier this month. Data from Anthropic’s draft IPO prospectus reported this week by Reuters have renewed investor attention to the size of its financial commitments and other risks it faces.

‘Who’s Paying for It?’

Lau said that she is optimistic about agentic software capabilities that tech firms are demonstrating, showing new benefits to all the money invested in chips and data centers.

But it isn’t clear if investment firms would see a return on their investment, especially with rising interest rates that increase companies’ borrowing costs.

“The issue is, between here and the eventual utopia, who’s paying for it?” Lau added.

Read the full article.

This article was written by Human Superior Intelligence (HSI)

See Also:

Understand the Times We are Currently Living Through

The Brain Myth: Your Intellect and Thoughts Originate in Your Heart, Not Your Brain

Is God’s Patience About to Run Out on the United States?

Second Edition of eBook Released: The Concept of the American Christian Family is a Myth and is NOT Found Anywhere in the Bible – by Brian Shilhavy

FREE eBook! Restoring the Foundation of New Testament Faith in Jesus Christ – by Brian Shilhavy

KABBALAH: The Anti-Christ Religion of Satan that Controls the World Today

Exposing the Christian Zionism Cult

The Bewitching of America with the Evil Eye and the Mark of the Beast

Jesus Christ’s Opposition to the Jewish State: Lessons for Today

Identifying the Luciferian Globalists Implementing the New World Order – Who are the “Jews”?

The post More People Waking Up to the AI Con and the Impending AI Financial Collapse that Will Probably Destroy Our Economy first appeared on Health Impact News.

by Brian Shilhavy
Health Impact News

Here in 2026 Americans have finally found an issue that unites them as Americans, regardless of political affiliations: opposition to AI data centers being rapidly built in their communities with little to no oversight, as the AI bubble continues to inflate.

According to a recent Gallup poll, 71% of Americans oppose AI data centers near their homes, triggering a wave of legislation that has already stalled $130B in projects.

Americans unite against data centers, with 71% opposing local builds

A Gallup poll conducted in March 2026 found that 71% of American adults oppose building an AI data center near their home, with 48% saying they are strongly opposed.

For historical context, public opposition to nuclear power plants peaked at 63% during the height of anti-nuclear sentiment. Opposition to AI data centers sat somewhere between 42% and 47% in late 2025. By March 2026, Gallup had it at 71%. A separate May 2026 Heatmap Pro poll confirmed the figure, also recording 71% opposition, but with an even sharper edge: 55% of respondents in that survey said they were strongly opposed.

Around half of data center opponents cite electricity and water consumption as their primary grievances. The rest of the opposition cohort points to noise, pollution, and the prospect of higher utility bills.

Gallup found that between 63% and 75% of both Republicans and Democrats oppose local data center construction.

In the first quarter of 2026 alone, community and legislative actions blocked or delayed more than 75 data center initiatives, representing over $130 billion in planned investment.

Roughly 300 state-level bills targeting data center regulation were introduced in the first half of 2026. New York’s governor signed an executive order in July 2026 pausing new hyperscale data center permits for a year. California and other states are advancing their own regulatory frameworks.

Source.

One has to wonder what is up with the other 29% of Americans who are not opposed to these data centers? I would imagine that they are the “faithful MAGA base” who continue to “trust the plan” and cheer the bombing of innocent people, including children, in places like Gaza, Lebanon, and Iran as they continue to worship their Pedophile in Chief, Donald Trump.

Donald Trump has attacked these Americans who make up over 70% of the country, stating that “The only reason that communities throughout the U.S.A. should not want Data Centers is if they want to end up being backwards and poor.”

If you do not live in a community where a new data center is being constructed, and are wondering what all the fuss is about, I have put together a short video that is just over 10 minutes long where you can hear it from the people themselves in these communities that Trump has belittled.

Fox News and some other Right-wing Conservative groups are trying to cast these people who oppose data centers as being part of the “far-left”.

So listen to these people yourself and see if they sound like “far-left” climate control freaks, or if they sound like ordinary, average Americans concerned about their homes, their families, and their future with Big Tech in control. (Video also can be watched here.)

Ohio is one of the largest battlegrounds where this is happening, as both Larry Ellison’s Oracle and Facebook parent company Meta are each building huge data centers in their state.

One of the most outspoken persons in Ohio, who was the last one who spoke in the video above, is Carl Setzer, who accurately stated that there is a huge AI bubble, and that there is no guarantee that any of these companies will even be around in 10 years.

And the current facts backup Setzer’s concerns.

Larry Ellison, the billionaire Zionist friend of Donald Trump and owner of Oracle, has already lost hundreds of billions of dollars with his investing into AI.

One analyst has already stated that the AI bubble is 17 times larger than the dot-com bubble, and four times the size of the 2008 real-estate/subprime bubble.

Oracle’s Massive AI Bet Has Already Cost Larry Ellison $207 Billion. Analyst Warns the AI Bubble Is 17 Times Bigger Than the Dot-Com Bubble.

Larry Ellison’s Oracle gambled its balance sheet on an AI future that analysts are now calling the most dangerous financial bubble in history, and the bill is coming due faster than anyone expected.

by AJ Tiarsmith
24/7 Wall Street

Excerpts:

Larry Ellison has lost $207 billion in less than a year.

Oracle’s market value has fallen by roughly $494 billion since peaking at $877.1 billion in September 2025.

Oracle’s Q4 8-K reported Remaining Performance Obligations of $638 billion, up 363% year-over-year, most locked into long-dated contracts that will not convert to cash for years.

A large chunk ties to OpenAI, whose IPO has slipped to 2027.

S&P Global downgraded Oracle’s credit rating, warning the buildout might pay off long term but could weaken near-term financial position. Melius Research questioned whether Oracle’s spending plans hold if OpenAI or Anthropic scale back demand for compute.

Sitting behind all of it: Project Stargate, a plan to invest up to $500 billion in AI-focused data centers over four years.

The 17x Thesis

In October 2025, Julien Garran, partner at UK firm MacroStrategy Partnership, published a report arguing the AI investment frenzy is a “misallocation of capital” 17 times the size of the dot-com bubble and four times the size of the 2008 real-estate/subprime bubble.

He called it

“the biggest and most dangerous bubble the world has ever seen.”

His “golden rule” case: large language models are statistical word-prediction engines with architectural limits, coding tools reproduce rote patterns, and capability has hit a “scaling wall” since GPT-4 launched in March 2023.

Garran’s answer to “who is actually making money” is blunt: only NVIDIA. Data-center operators, LLM developers, and LLM-based software vendors are, in his framing, “all heavily loss-making” and depend on a “permanent funding tour” of new rounds, with SoftBank and sovereign funds like Saudi Arabia’s serving as backstops.

Full article.

The Great Reset is coming.

And thanks to The Leah Files, we now know the plan that has just been executed by Treasury Secretary Scott Bessent and Secretary of Commerce Howard Lutnick to kill the U.S. dollar and replace it with crypto Stablecoins. See:

Treasury Secretary Scott Bessent Just Restructured The American Financial System to Destroy the U.S. Dollar

This article was written by Human Superior Intelligence (HSI)

See Also:

Understand the Times We are Currently Living Through

Second Edition of eBook Released: The Concept of the American Christian Family is a Myth and is NOT Found Anywhere in the Bible – by Brian Shilhavy

FREE eBook! Restoring the Foundation of New Testament Faith in Jesus Christ – by Brian Shilhavy

The Brotherhood of Satan vs. The Brotherhood of Jesus Christ

KABBALAH: The Anti-Christ Religion of Satan that Controls the World Today

Exposing the Christian Zionism Cult

The Bewitching of America with the Evil Eye and the Mark of the Beast

Jesus Christ’s Opposition to the Jewish State: Lessons for Today

Identifying the Luciferian Globalists Implementing the New World Order – Who are the “Jews”?

The Brain Myth: Your Intellect and Thoughts Originate in Your Heart, Not Your Brain

What is the Condition of Your Heart? The Superiority of the Human Heart over the Human Brain

The post AI Data Center Opposition Unites People Across Political Lines as Trump Attacks Americans Who Oppose Big Tech first appeared on Health Impact News.

by Brian Shilhavy
Health Impact News

Last year (2025) I reported how there were hundreds of thousands of jobs unfilled to support the boom in data center construction, jobs that only human beings can fulfill. See:

The AI Revolution is About to Crash due to a Lack of Human Labor

Today, in August of 2026, the situation has only become worse as massive amounts of money continue to be increasingly spent on AI and data centers, while the human labor force continues to diminish.

This is all public knowledge, but it is not in the headlines or known much because people are still getting fat and rich on the AI data center spending.

Earlier this year, a report was published by the U.S. Department of Education which stated that by 2030, an estimated 2.1 million skilled trades jobs in the U.S. could go unfilled, with potential economic losses reaching $1 trillion annually.

America’s ‘silent army’ of skilled tradespeople are retiring with no one to replace them—and the price tag could hit $1 trillion a year

by Fortune/Yahoo

Excerpts:

The workers who keep America’s buildings running are disappearing—and the U.S. isn’t replacing them fast enough to keep the lights on, the servers cool, or the labs sterile.

By 2030, an estimated 2.1 million skilled trades jobs in the U.S. could go unfilled, with potential economic losses reaching $1 trillion annually, according to U.S. Department of Education estimates cited in a new report from JLL shared exclusively with Fortune.

The commercial real estate giant calls the electricians, HVAC technicians, plumbers, pipe fitters, and maintenance workers who maintain the country’s built environment a “silent army”—a workforce that is aging out of the industry faster than it can be replaced.

“The silent army, as we normally call them, because they are hidden, invariably, behind the scenes, has been getting harder and harder not only to find, but retain in the industry,” Paul Morgan, JLL’s global COO of real estate management services, told Fortune.

Plus, “you’ve got this impending retirement wave that has really been driving the industry a long period of time, and a lack of new entrants.”

Morgan is referring to the fact that millions of tradespeople in the U.S. are nearing or at retirement age. More than one in five construction workers is currently older than 55, according to Associated Builders and Contractors.

As of May 2023, about 39% of electricians were 45 years old or older, a Consumer Affairs report shows, and there’s a 5:2 retirement-to-replacement ratio in manufacturing, construction, and other skilled trades, an Education Department report shows.

The supply-demand imbalance has hit crisis territory. Last year alone, nearly 600,000 jobs were posted for major skilled trades positions in the U.S., while only about 150,000 new workers entered the labor pool through apprenticeship programs, according to JLL.

A hidden workforce behind the AI boom

The shortage has caught the attention of some of the country’s most prominent executives, who argue that the U.S. cannot build the infrastructure for AI it’s betting its economic future on without the people to wire, cool, and maintain it.

Ford CEO Jim Farley has consistently warned about the gap, arguing America’s AI ambitions are running headfirst into a labor wall.

“I think the intent is there, but there’s nothing to backfill the ambition,” Farley told Axios last fall.

“How can we reshore all this stuff if we don’t have people to work there?”

Hadrian CEO Chris Power, whose company automates defense manufacturing, has gone further, predicting a wage shock in the trades.

“All the white-collar jobs are going to get automated,” Power said in a recent interview with tech publication Sourcery at the Hill and Valley Forum.

“I think we’re going to see massive hyperinflation in blue-collar salaries.”

Power added that even with robotic welding on his own factory floor, he still can’t hire enough welders to meet demand from the U.S. Navy.

“Everyone, go tell your kids to quit college and university and go get a welding certification,” Power added.

“The country needs you.”

Morgan argues the skilled trades are foundational to nearly every high-growth sector of the economy—a story he says the industry has failed to tell.

But one problem is the lingering perception that blue-collar work isn’t as elite or prestigious as white-collar work.

“As powerful as AI will become, AI can’t climb a ladder to change the batteries in your smoke detector,” Lowe’s CEO Marvin Ellison told Fortune earlier this month.

“It can’t change your furnace filter; it can’t clean your dryer vent; it can’t repair a hole on your roof.”

Morgan also questioned:

“Why wouldn’t somebody want to be an HVAC tech or an electrician or refrigeration specialist in the data center industry?“

He added, “You can’t have AI without data centers supporting them.”

Full Article.

Then today, Fox News published an opinion piece (NOT headline news, as it should be!), admitting that electricity shortages are on the horizon for Americans, due to human labor shortages.

The machines that keep America alive are failing. We forgot how to replace them

We’ve finally admitted that electricity is as essential as water, but we did so too late to avoid disruption

by Brian Tochman
Fox News

Excerpts:

For 20 years, electricity was the most boring business in America, and our industry built its whole infrastructure strategy around the assumption that things would stay that way.

The numbers tell the story. From 2010 to 2020, U.S. electricity consumption fell by roughly 1%. LEDs, efficient motors and tightening appliance standards quietly cancelled out the electricity used by every new subdivision, factory and data hall, and then some. Demand was flat, and planners treated this as a permanent fact of life rather than as what it actually was: an intermission.

No-growth industries make choices that are perfectly rational, yet corrosive. You don’t fund apprenticeships when there’s no new capacity to staff. You don’t keep spare metallurgical know-how on the payroll when nobody’s ordering. You don’t recruit ambitious 25-year-olds into a sector whose pitch is “stable, essential, and never going anywhere.”

So, the utilities didn’t. The transformer makers didn’t. The steel mills didn’t. The workforce aged in place and the labor pipeline behind it ran dry.

We mistook a flat line for stability and in doing so, allowed a slow decay to occur. Then the line broke.

Since 2020, electricity consumption has reversed two decades of decline and climbed about 7%. Demand for large power transformers, the equipment through which nearly all of America’s electricity passes at some point, has surged 116% since 2019. Data centers, reshoring, electrification and grid hardening all arrived in the same handful of years, descending on an industry that had bought into the idea that it would never grow again.

Facing resurgent demand, we went looking for the people and the parts to meet resurgent demand, and here is what we found: America had forgotten how to make pipes.

Roughly 80% of the large power transformers the United States installs are now imported.

The grain-oriented electrical steel at the heart of every one of them has but a single domestic producer. Lead times for a standard power transformer have stretched to nearly two and a half years, and the larger units that connect power plants to the grid run longer still.

Prices are up more than 77% since 2019. The average transformer already humming away on the American grid is 38 years old, and more than 70% of the fleet is past age 25.

We are simultaneously trying to replace an aging base and build an entirely new one with a supply chain we spent a generation hollowing out.

The hardware shortage gets the headlines. The human one is worse, because you can’t expedite it.

A person cannot, today, enroll anywhere in America to learn how to design or build a large power transformer. The handful of university power-engineering programs that survived the last two decades don’t teach it. They were shrinking before the boom began as students chased software and AI instead.

The knowledge to wind a coil, design a core or run a high-voltage acceptance test is tribal, passed hand-to-hand on a shop floor by master winders, test engineers or metallurgists who understand why a core behaves the way it does. The expertise lives in people, much of it never written down, and roughly half the utility workforce is now over 45 with a large share eligible to retire this decade.

You can stand up a new transformer factory in a couple of years. You cannot conjure an experienced winder in a couple of years, and you can’t enroll one either.

Full article.

Not referenced in any of these reports, of course, is how so much of the human labor force in the U.S., including factory workers, have now been deported from the U.S. due to Trump’s immigration policies, and many of these people deported were even here legally and Green Card holders.

A total system collapse is inevitable.

This article was written by Human Superior Intelligence (HSI)

See Also:

Understand the Times We are Currently Living Through

FREE eBook! The Concept of the American Christian Family is a Myth and is NOT Found Anywhere in the Bible – by Brian Shilhavy

FREE eBook! Restoring the Foundation of New Testament Faith in Jesus Christ – by Brian Shilhavy

The Brotherhood of Satan vs. The Brotherhood of Jesus Christ

KABBALAH: The Anti-Christ Religion of Satan that Controls the World Today

Exposing the Christian Zionism Cult

The Bewitching of America with the Evil Eye and the Mark of the Beast

Jesus Christ’s Opposition to the Jewish State: Lessons for Today

Identifying the Luciferian Globalists Implementing the New World Order – Who are the “Jews”?

The Brain Myth: Your Intellect and Thoughts Originate in Your Heart, Not Your Brain

What is the Condition of Your Heart? The Superiority of the Human Heart over the Human Brain

The post America Does Not Have the Labor to Run the New Data Centers – Potential Loss of $1 Trillion a Year due to Lack of Human Skilled Labor first appeared on Health Impact News.

by Brian Shilhavy
Health Impact News

The U.S. moved closer to the AI bubble bursting this week, when a relatively little-known AI company out of China released their new version of AI (Large Language Model) that rivaled, or in some cases beat, benchmarks by U.S. Big Tech companies such as OpenAI, Anthropic, and Google.

Not only is this AI model out of China less expensive since it is “open source”, they promised to start giving it away for free on July 27, 2026.

The U.S. stock market, and the tech heavy NASDAQ, all closed down on Friday as a result.

Here is some of the news coverage since Friday.

From Fortune:

Markets may have just experienced their second DeepSeek shock, this time thanks to a Chinese AI lab named after a Pink Floyd album

Excerpts:

On Thursday, Moonshot AI, a Beijing-based AI startup, unveiled the latest version of its Kimi large language model, which promises performance close to Anthropic’s Fable 5—perhaps the most powerful publicly available model today—at a fraction of the cost.

Kimi K3, the largest open-weight model ever released, performed “competitively” with Fable 5, and “substantially outperformed” Anthropic’s Opus 4.8, and OpenAI’s GPT 5.6 Sol, according to Moonshot.

The company’s officially-released benchmarks consistently rank K3 among the top three AI models; one independent benchmark from Arena.AI even put K3 as the best model currently available, ahead of Anthropic.

Many observers, including Anthropic CEO Dario Amodei, didn’t expect a Chinese AI lab to release a model that could approach the U.S.’s best offerings for another six months.

Tesla CEO Elon Musk, for example, suggested it might happen by the first quarter of next year. K3’s launch rapidly shrank that timeline and underscores just how quickly Chinese AI developers are closing the performance gap with their U.S. rivals.

From Yahoo Finance:

China’s Kimi K3 Hits US Stock Markets. Is the American AI Boom Over?

Excerpts:

China’s Moonshot released Kimi K3 on Thursday, a model it says matches Anthropic’s Claude Fable and OpenAI’s GPT-5.6. US chip stocks sank as investors asked if America’s AI lead is safe.

Kimi K3 packs 2.8 trillion parameters, making it the largest open model ever released. Moonshot, an Alibaba-backed startup, will let anyone download it free from July 27.

Chip Stocks Just Had Their Worst Week in 15 Months

The Philadelphia Semiconductor Index, which tracks America’s biggest chipmakers, fell 12.5% this week, marking its worst week in over 15 months. Nvidia, AMD, and Broadcom all fell hard.

Meanwhile, the AI bubble question is back in focus.

Markets have seen this movie before. When China’s DeepSeek stunned Wall Street in January 2025, Nvidia lost $589 billion in one day. CNBC called it the biggest single-day loss in market history.

Why Kimi K3 Has Everyone’s Attention

Kimi K3 earned the hype. This week, it topped Arena’s coding leaderboard with 1,679 points, pushing Claude Fable 5 into second place.

It is also cheap. Moonshot charges $3 per million input tokens, while Fable 5 costs $10. The model reads a million tokens at once, enough to hold an entire codebase in one prompt

Here’s a good short video (AI generated) that explains what just happened with China’s Kimi K3:

Here is some other news on the coming AI crash that was published last week.

AI Bubble Fears Are Starting to Spill Over

Investors are freaking out.

Excerpts:

Yet another domino appears to be falling as part of the Ruth Goldberg machine that will eventually pop the AI investment bubble.

Earlier this month, economic forecasters were sounding the alarm that overspending on AI was at a level far more severe than Black Tuesday, the day that jump-started the worst economic catastrophe in the history of the industrial economy. Now, investors seem to be coming to that same conclusion all on their own.

This week, Taiwanese semiconductor giant Taiwan Semiconductor Manufacturing (TSMC) posted its second-quarter earnings results, revealing a staggering revenue of over $40 billion — a record-breaking sum for the company.

While that should come as welcome news to investors, the results had the exact opposite effect, sending shares of TSMC stocks tumbling by four percent. That in turn led the tech-heavy Nasdaq 100 index to fall by 1.4 percent Thursday, compounding losses from Wednesday, Bloomberg reported.

The issue seems to be TSMC’s revision to its capital expenditure. As the key manufacturer for chip design company Nvidia — arguably one of the most pivotal players in the AI boom — TSMC is a major bellwether for investor confidence around the buzzy tech.

The trouble is that, in addition to posting record revenue, the Taiwanese chip firm raised its 2026 spending forecast to a range of $60-64 billion, up from $52-56 billion. That shift will test how much more spending investors are willing to stomach on AI, a technology that has yet to justify the nearly $1.6 trillion spent developing it over the past decade.

Full article.

Futurism has also published an article about how the richest Tech billionaires are actually rooting for the AI bubble to collapse, so that the industry can be consolidated to just a few Big Tech companies.

This reminds me about how another technology breakthrough, the mass production of automobiles in the early 1900s, led to hundreds of companies producing automobiles in the “roaring 1920s”.

But a collapse in the economy reduced them to the “Big Three”, where every other business was wiped out by the financial crash just before WW II, which is now known as “The Great Depression” in U.S. history.

The number of active automobile manufacturers dropped from 253 in 1908 to only 44 in 1929, with about 80 percent of the industry’s output accounted for by Ford, General Motors, and Chrysler, formed from Maxwell in 1925 by Walter P. Chrysler.

Most of the remaining independents were wiped out in the Great Depression, with Nash, Hudson, Studebaker, and Packard hanging on only to collapse in the post-World War II period. (Source.)

Here is the article from Futurism:

Tech Billionaires Are Quietly Rooting for AI Bubble to Collapse

“Stop trying to make bubbles go away.”

Excerpts:

Some of the wealthiest business people in the world are chopping it up about something that defies orthodoxy: the AI bubble, they hope, will soon collapse.

Gone are the days of debating whether AI is an economic bubble.

Having already fallen $800 billion short of turning a profit on the AI boom, some of the tech industry’s biggest players have accepted that the financial arithmetic on AI just doesn’t add up. But here’s the catch: though the AI bubble objectively makes life harder for the rest of us, to the silicon valley elite, the economic consequences of its downfall could actually be a good thing.

New reporting by the Atlantic details the heterodox sentiment sweeping through the tech industry. The pro-Bubble stance has its roots in a 2024 book called “Boom: Bubbles and the End of Stagnation,” by tech investors Tobias Huber and Byrne Hobart.

These fellas argued that there are essentially two kinds of economic bubble: the good ones, like the Dot Com bubble, and the bad ones, like the 2008 subprime lending crisis.

Though both do significant economic damage when they burst, Huber and Hobart argue that bursting the good bubbles nonetheless helps accelerate technological progress in capitalist economies. With bubbles, Hobart told the Atlantic, a “set of investments that you could never underwrite otherwise suddenly makes sense.”

That attitude has helped tech executives and their investors rationalize away one of the most irrational concentrations of finance capital the US has seen in decades. “Stop trying to make bubbles go away,” as the venture capitalist James Thomason wrote last year. “Yes, bubbles create volatility. Yes, investors lose money. Yes, employees lose jobs when companies fail. But the alternative is underinvestment in transformative opportunities.”

Some of the biggest names in tech have signaled support. Last October, Amazon founder and CEO Jeff Bezos explained that bubbles “can even be good, because when the dust settles and you see who are the winners, societies benefits from those inventions.”

OpenAI CEO Sam Altman has likewise argued that AI will a “huge net win for the economy” no matter what, even if a “phenomenal amount of money” ends up in the blender.

Of course, if the whole thing does come tumbling down, it‘s not the tech billionaires who will suffer. Some will go bankrupt, sure, but that just means less competition for market dominance. Each sees themselves as too big to fail — so when the bubble does burst, you can expect plenty of drama.

Americans Start to Rise Up Against Big Tech by Opposing Flock Cameras

Big Tech is not invincible. As I have been saying for years, just stop using their products!

But I don’t think most Americans are ready to ditch their cell phones yet, which is really all it would take to cripple the entire system.

Here are two videos explaining public outrage against Flock Cameras. One explains what they are and their dangers, and the second one is by an attorney explaining the public reactions so far.

This article was written by Human Superior Intelligence (HSI)

See Also:

Understand the Times We are Currently Living Through

FREE eBook! The Concept of the American Christian Family is a Myth and is NOT Found Anywhere in the Bible – by Brian Shilhavy

FREE eBook! Restoring the Foundation of New Testament Faith in Jesus Christ – by Brian Shilhavy

The Brotherhood of Satan vs. The Brotherhood of Jesus Christ

KABBALAH: The Anti-Christ Religion of Satan that Controls the World Today

Exposing the Christian Zionism Cult

The Bewitching of America with the Evil Eye and the Mark of the Beast

Jesus Christ’s Opposition to the Jewish State: Lessons for Today

Identifying the Luciferian Globalists Implementing the New World Order – Who are the “Jews”?

The Brain Myth: Your Intellect and Thoughts Originate in Your Heart, Not Your Brain

What is the Condition of Your Heart? The Superiority of the Human Heart over the Human Brain

The post China AI Cheaper than U.S. Big Tech AI Exposing AI Bubble – Americans Rise Up Against Big Tech with Flock Camera Opposition first appeared on Health Impact News.

by Brian Shilhavy
Health Impact News

Today was another down day in Tech stocks, which brought out the AI Bubble doomsday scenarios that are more frequently being discussed in the Corporate Financial news networks.

Barbara Kollmeyer, writing for Market Watch, covered an opinion piece written by analyst Ed Zitron who stated that the Lehman Bros. moment of the AI bubble is coming, which will affect the entire stock market.

The Lehman Bros. moment of the AI bubble is coming, says this critic warning of fallout for tech stocks and the entire market

Ed Zitron sees a downfall driven by loss-making subscriptions and an insatiable need for cash

Excerpts:

Blowout results from chip giant Taiwan Semiconductor Manufacturing Co., or TSMC, seem to be doing little for sentiment on Thursday.

Worries about whether spending on artificial intelligence will pay off have been a downer for some stocks lately. Our call of the day from Ed Zitron, author of “The Hater’s Guide to the AI Bubble,” won’t help much.

In a 15,000-word Substack post on Wednesday, Zitron, the founder of a technology-focused public-relations firm, argues that the question is not if, but when, OpenAI will collapse.

“Its failure would be a watershed moment — the Lehman Brothers of the AI bubble, and an event that would define the end of one epoch, the start of another, and that would shake the afflicted out of that psychosis,” he writes.

A dogged AI critic, Zitron sees a “cultlike” derangement around what he sees as an AI bubble kept alive by OpenAI’s existence.

Back in early 2023, when Zitron said he started researching large language models, he called generative AI “the latest gold rush in technology.” He predicted two years ago that OpenAI’s Sora video generator was not viable — and it was canned this March.

His Substack post attacks OpenAI’s business model and its plan to “burn over $852 billion by the end of 2030,” along with the $50 billion or more in compute spending this year. The latter, he estimates, is “more than 50% of all global compute spend.”

As OpenAI and Anthropic raised $300 billion in the past few years, their infrastructure costs have been funded largely by hyperscalers, who have been creating an illusion that more companies will eat up compute like OpenAI, he wrote.

Oracle, he notes, is in particular danger from a prospective OpenAI collapse, as it could get stuck with “billions of wasted capex, and endless debt and leases.”

Zitron predicts that OpenAI’s collapse will only come after “AI data center debt and venture capital funding has been almost entirely exhausted,” as OpenAI has vast money needs.

“Based on my own reporting on its audited financials from 2024 and 2025, OpenAI will need to raise funding at least three more times in the next decade,” he says.

Its downfall will be driven by loss-making subscriptions, weak advertising revenue and massive costs for customers, Zitron says. That will curb compute demand, end free ChatGPT and make investors wary of any AI startup, not to mention seizing up related data-center debt.

Zitron doesn’t think Anthropic is safe, either, as it’s burning billions on training models, producing way too many Claude iterations and lacking focus.

An OpenAI collapse will lead to a “violent, punishing effect on the entire stock market,” he says.

The scale, he says, scares him “to the point I’m almost hoping I’m wrong.”

Full article.

The Wall Street Journal today published an “Exclusive” article titled The AI Backlash Has Tech Executives Fearing for Their Lives, which was picked up by many other media sources as well.

Since that is behind a paywall, here is an article discussing this published on Futurism.

Terrified Tech Execs Are Traveling With Armed Bodyguards as AI Backlash Grows

Excerpts:

Public backlash to AI is intensifying — and transforming into real-world attempts at physical violence. Industry leaders are fearing for their lives.

Leading AI companies and their top executives are beefing up security, the Wall Street Journal reports, as escalating anti-AI industry sentiment is culminating in threats and attempts of violence against the people and ventures building leading AI models. Some executives are even traveling with armed guards, while others have taken to keeping a lower public profile.

“Tech CEOs, a few years ago, definitely did not have security,” Dakota Dominguez, an executive at the Silicon Valley-based security firm JPT Security, told the WSJ.

“A lot of tech companies now are incorporating that into their budgets.”

Earlier this year, the AI industry was shaken when a 20-year-old anti-AI activist named Daniel Moreno-Gama, armed with a gun and a Molotov cocktail, unsuccessfully tried to firebomb the home of OpenAI CEO Sam Altman. No one was injured, but the high-profile incident followed a string of violent threats and at least one OpenAI lockdown.

OpenAI isn’t alone. Per the WSJ, around the time that Altman’s home was targeted, OpenAI rival Anthropic faced a close call when a man snuck into its headquarters behind an employee carrying an envelope with an executive’s name on it. The man reportedly then told a guard that the executive was “going to be killed.” The man was stopped before anyone got hurt.

All in all, it’s easy to see why tech leaders are budgeting for beefed up security.

Theodora Scarato, the Director of Wireless and EMF Program, was interviewed on Redacted about the health hazards these huge mega Data Centers are causing the the American public.

Related:

“Dirty” Electricity is a National Problem Affecting Everyone’s Health in the United States

This article was written by Human Superior Intelligence (HSI)

See Also:

Understand the Times We are Currently Living Through

FREE eBook! The Concept of the American Christian Family is a Myth and is NOT Found Anywhere in the Bible – by Brian Shilhavy

FREE eBook! Restoring the Foundation of New Testament Faith in Jesus Christ – by Brian Shilhavy

The Brotherhood of Satan vs. The Brotherhood of Jesus Christ

KABBALAH: The Anti-Christ Religion of Satan that Controls the World Today

Exposing the Christian Zionism Cult

The Bewitching of America with the Evil Eye and the Mark of the Beast

Jesus Christ’s Opposition to the Jewish State: Lessons for Today

Identifying the Luciferian Globalists Implementing the New World Order – Who are the “Jews”?

The Brain Myth: Your Intellect and Thoughts Originate in Your Heart, Not Your Brain

What is the Condition of Your Heart? The Superiority of the Human Heart over the Human Brain

The post Terrified Tech Execs Are Traveling With Armed Bodyguards as AI Backlash and AI Bubble Grow first appeared on Health Impact News.