Got any memes?

Join us and show us what you got. Free to chat.

https://discord.gg/PTv6ZNyTDY

Do yourself a favor. Open tradingview and check TSLA's weekly chart.

How's my prediction looking?

A brighter financial future starts here.

https://discord.gg/PTv6ZNyTDY

AI Whistleblowers Are Sounding the Alarm: Is the AI Bull Run in Trouble?

The AI trade has been one of the most powerful forces in the stock market for years.

Nvidia, Broadcom, AMD, Micron, the hyperscalers, data-center companies, power companies and dozens of smaller AI infrastructure names have benefited from what has essentially become a global arms race.

But suddenly, the conversation has changed.

Instead of investors asking:

“How fast can AI grow?”

People are starting to ask:

“What happens if AI is growing too fast?”

That distinction matters.

What Happened?

The latest wave of concern intensified after Jacob Coxon, a researcher who worked at both OpenAI and Anthropic, resigned from Anthropic and publicly warned about the direction of advanced AI development.

Coxon wasn't simply an outside critic of AI. He had spent roughly three years working directly on training increasingly powerful models.

He said his decision wasn't triggered by one secret breakthrough or a single terrifying incident. Instead, he became increasingly concerned about how quickly AI capabilities were advancing and whether the companies building these systems actually had them under control.

That distinction is important.

This isn't someone saying:

“I discovered one evil AI.”

The concern is broader.

AI systems are becoming more capable, more autonomous and increasingly able to perform tasks that previously required humans. The people building them don't necessarily know where the capability curve eventually ends.

Coxon's warning also didn't happen in isolation.

Anthropic CEO Dario Amodei subsequently called for slowing the pace of frontier AI development to provide more time to address potential risks. Other prominent AI leaders have also expressed support for stronger safeguards or a slower pace of development.

OpenAI, meanwhile, recently announced a framework for regularly disclosing unexpected or unauthorized behavior by its models. The company acknowledged that increasingly autonomous AI systems create alignment and monitoring challenges that have not been completely solved.

So we now have something investors cannot completely ignore:

Some of the people closest to frontier AI are publicly saying that development may be moving faster than our ability to control it.

Why Did AI Stocks React?

Because Wall Street immediately takes this discussion one step further.

The market isn't primarily trying to determine whether AI will become dangerous.

The market is asking:

Will governments or AI companies slow down?

That's the financial question.

If AI development slows significantly, perhaps companies don't need quite as many GPUs.

Maybe data-center construction slows.

Maybe memory demand slows.

Maybe power demand estimates come down.

Maybe hyperscalers reduce capital expenditures.

And suddenly the enormous earnings expectations embedded throughout the AI ecosystem have to be revised.

That's why semiconductor stocks were hit particularly hard when the safety debate intensified. Nvidia, AMD and other AI-related names sold off as investors considered the possibility that calls for slowing AI development could eventually affect infrastructure spending.

But here's where we have to separate headline risk from fundamental risk.

They are not necessarily the same thing.

The AI Bull Case Is Still Very Much Alive

Despite all the scary headlines, there's something extremely important happening underneath the surface.

The companies actually spending the money haven't meaningfully stopped spending.

One recent industry tally estimated that seven major AI builders spent roughly $657 billion in capital expenditures over their previous four reported quarters, including approximately $214 billion in the most recent quarter. More importantly, every company in that tracker either maintained or increased its guidance during the latest earnings cycle. None reduced it.

That's what I'm watching.

Not Twitter.

Not scary headlines.

Not people arguing about whether AI destroys humanity in ten years.

Follow the money.

As long as Microsoft, Meta, Alphabet, Amazon and the rest of the ecosystem continue spending enormous amounts of money building AI infrastructure, the underlying AI investment cycle remains alive.

The bull market eventually gets into serious trouble if that changes.

AI Safety Doesn't Necessarily Mean Less AI

There's another possibility the market may be overlooking.

More AI regulation could actually require more infrastructure, not less.

Imagine governments requiring AI companies to perform substantially more safety testing.

More simulations.

More monitoring.

More cybersecurity.

More redundancy.

More controlled training environments.

More auditing.

All of those things require compute.

AI safety isn't necessarily anti-AI.

It could become another layer of the AI economy.

We've already seen an interesting version of this happening in cybersecurity. As fears surrounding autonomous AI systems have increased, cybersecurity companies have benefited from expectations that corporations will need significantly stronger defenses against AI-powered threats.

The AI trade could therefore begin splitting into different categories.

The first phase was:

Build AI.

The next phase could increasingly become:

Build AI + secure AI + monitor AI + control AI.

That's potentially an enormous industry by itself.

But There Is a Bigger Problem

This is where I become more cautious.

The whistleblower situation isn't necessarily the biggest risk to AI stocks.

Valuation and capital spending are.

AI spending has become so enormous that investors increasingly need proof that hundreds of billions of dollars of infrastructure investment will generate adequate returns.

And some cracks are starting to appear in the financial structure surrounding the AI buildout.

There are growing concerns about increasingly complicated financing arrangements supporting data centers and AI infrastructure. Big Tech companies have been using guarantees and other structures to support enormous AI projects, while credit markets are beginning to scrutinize how sustainable some of these investments will be.

Goldman Sachs has also warned that the extraordinary contribution AI capital spending has made to S&P 500 earnings growth may become harder to sustain going into 2027.

That's much more important to me than one scary interview.

The AI bull market has reached a stage where simply announcing another $20 billion data center isn't enough.

Eventually investors ask:

Where is the return?

And that's healthy.

Could AI Stocks Correct?

Absolutely.

In fact, after the enormous runs we've seen in many AI-related stocks, a correction shouldn't surprise anybody.

A stock can have an incredible long-term future and still drop 20%, 30% or even 40%.

Those two statements aren't contradictory.

We've seen this repeatedly throughout technological revolutions.

Great companies get ahead of themselves.

Expectations become ridiculous.

Stocks correct.

Weak companies disappear.

Strong companies keep growing.

Then the next leg begins.

The biggest mistake investors can make is assuming:

AI changes the world = every AI stock goes up forever.

No.

There will be massive winners.

There will also be companies spending billions of dollars that never earn an acceptable return.

There will be AI infrastructure companies taking on too much debt.

There will be speculative AI companies trading at valuations they can never justify.

And there will probably be companies nobody is talking about today that become enormous winners five years from now.

That's what happens during technological revolutions.

What Would Actually Make Me Worried?

I'm watching several things.

First: hyperscaler capex.

If Microsoft, Meta, Amazon, Alphabet and other major AI builders begin materially reducing AI capital expenditures, pay attention.

That would be fundamentally different from a few days of semiconductor stocks selling off.

Second: GPU demand.

As long as high-end compute remains scarce and heavily utilized, it's difficult to argue that AI infrastructure demand has collapsed. Recent reports indicate GPU rental demand remains strong, including demand for older Nvidia hardware.

Third: government regulation.

There's a massive difference between:

“We need AI safety standards.”

and

“You cannot train models above X capability.”

The first creates compliance costs.

The second could materially change the growth trajectory.

That's why investors should watch actual legislation and regulation rather than reacting to every headline.

Fourth: monetization.

This may ultimately be the biggest one.

Companies need to demonstrate that AI isn't merely an enormous capital expenditure competition.

AI needs to generate productivity.

Revenue.

Margins.

Cash flow.

If AI revenue continues accelerating, spending will continue.

If AI spending grows exponentially while monetization stalls, Wall Street eventually stops rewarding the companies writing the checks.

Correction or Bull Train?

My base case is that this controversy creates volatility and possibly further corrections, but by itself it doesn't end the AI bull cycle.

Why?

Because the money hasn't stopped.

Demand hasn't disappeared.

The infrastructure is still being built.

Corporations are still integrating AI.

Governments are investing in AI.

Data centers are still being constructed.

Compute demand remains enormous.

And perhaps most importantly, nobody wants to lose the AI race.

The United States doesn't want to lose to China.

Google doesn't want to lose to OpenAI.

OpenAI doesn't want to lose to Anthropic.

Meta doesn't want to lose to Google.

Amazon doesn't want to lose cloud workloads.

Microsoft doesn't want to lose enterprise AI.

That competitive pressure is incredibly powerful.

Even executives who genuinely believe AI presents serious risks face the classic prisoner's dilemma:

“If we slow down and everyone else keeps going, we lose.”

That's one reason stopping this train is much harder than simply saying it should slow down.

The Real Risk

The biggest near-term risk isn't that AI suddenly disappears.

It's that expectations got too far ahead of reality.

That's where corrections come from.

If Nvidia grows 50% but investors priced in 80%, the stock can fall.

If an AI data-center company doubles revenue but investors expected it to triple, the stock can fall.

If hyperscalers spend $500 billion instead of the $600 billion investors expected, semiconductor stocks can fall.

Great industry.

Great technology.

Bad expectations.

Those three things can exist simultaneously.

That's why I'm not treating every AI dip as automatically bullish anymore.

We're entering the stage where investors need to distinguish between companies that benefit from AI and companies whose stock prices merely benefited from the words “artificial intelligence.”

That distinction will become increasingly important.

The Bigger Picture

AI whistleblowers and safety researchers deserve to be taken seriously.

We shouldn't dismiss people simply because their warnings are inconvenient for our portfolios.

But as investors, we also shouldn't automatically translate:

“AI could become dangerous”

into:

“Sell every AI stock.”

Those are completely different conclusions.

Ironically, the fact that researchers are becoming frightened by how rapidly AI is advancing could be interpreted two completely different ways.

The bearish interpretation:

AI becomes so dangerous that governments restrict development, slowing the entire infrastructure boom.

The bullish interpretation:

AI capabilities are advancing much faster than expected, making the technology even more economically valuable and intensifying the race to build the infrastructure required to deploy it.

Right now, the market is trying to figure out which one wins.

My approach is simple.

Watch the spending.

Watch the earnings.

Watch GPU demand.

Watch actual regulation.

And watch whether AI companies can turn this historic infrastructure investment into historic cash flow.

If those remain intact, the AI bull story remains intact even if the road gets extremely volatile.

If those begin breaking, then we have a much bigger problem than a whistleblower headline.

Bottom Line

Could AI stocks correct?

Absolutely.

After the massive moves we've seen, another meaningful correction would not surprise me at all.

Does the current whistleblower/safety situation alone mean the AI bull market is over?

The evidence doesn't establish that.

For now, the underlying buildout continues, capital spending remains enormous, and competition between the world's largest technology companies remains intense.

But we're entering a different phase of the AI trade.

The easy phase was buying anything connected to AI.

The next phase will likely reward companies that can actually convert AI demand into sustainable revenue, margins and free cash flow.

The bull train may keep moving.

Just don't expect the ride to stay smooth.

FOMC RESULTS: THE FED IS HIKING AGAIN

The September FOMC is officially in the books, and this was a pretty clear message from the Federal Reserve:

Inflation is still too high, the economy is still holding up, and the Fed is willing to keep rates higher to get inflation under control.

The Fed voted unanimously, 12–0, to raise rates by 25 basis points, bringing the federal funds target range to 3.75%–4.00%. This is the first Fed rate hike since 2023. ([Federal Reserve][1])

WHY DID THE FED RAISE RATES?

Simple: inflation.

Fed Chair Kevin Warsh said inflation remains too high and that the summer data hasn't shown enough improvement in the underlying trend. The Fed still wants inflation back near its 2% target. ([Reuters][2])

The Fed's updated projections show:

2026 PCE inflation: 3.7%

2026 Core PCE: 3.4%

Both were revised slightly higher from the June projections. ([Federal Reserve][3])

So despite all the talk about eventually lowering rates, the Fed is currently moving in the opposite direction.

ANOTHER HIKE COULD BE COMING

This is probably the biggest takeaway from today's meeting.

The median Fed projection for the federal funds rate at the end of 2026 jumped from 3.8% in June to 4.1% now. Twelve policymakers projected a year-end midpoint of 4.125%. ([Federal Reserve][3])

In plain English:

The Fed's projections are consistent with another 25-basis-point hike this year.

That's not a guarantee. The Fed will still react to incoming inflation, employment and economic data.

But today's message was definitely not dovish.

THE ECONOMY IS MAKING THE FED'S JOB HARDER

Here's the interesting part.

The Fed isn't raising rates because the economy is falling apart.

It's almost the opposite.

The Fed says economic activity continues to expand at a solid pace, domestic spending remains resilient, productivity growth is strong and capital investment is robust. ([Federal Reserve][1])

The unemployment projection for 2026 was actually lowered from 4.3% to 4.1%. ([Federal Reserve][3])

Warsh also pointed to massive capital spending, including investment from large technology companies and AI/data-center infrastructure, as one factor increasing demand for capital and helping push longer-term borrowing costs higher. ([Reuters][4])

That's important.

Strong economy + sticky inflation = the Fed has room to stay aggressive.

WHAT DOES THIS MEAN FOR STOCKS?

Higher rates generally create a tougher environment for equities.

Companies pay more to borrow. Consumers pay more to finance things. Bonds and Treasuries become more competitive with stocks. And higher yields can put pressure on expensive growth companies whose valuations depend heavily on future earnings.

That's why the market cared about more than today's 25-basis-point hike.

The bigger question is:

How long will rates stay this high, and how many more hikes are coming?

Stocks pulled back following the announcement as investors digested the possibility of additional tightening. ([Reuters][5])

That doesn't mean stocks automatically crash because the Fed raised rates.

The other side of this equation is that the economy remains surprisingly strong.

WHAT SHOULD WE WATCH NOW?

Forget trying to predict every word that comes out of the Fed.

Watch the data.

Inflation: If inflation starts falling convincingly, pressure on the Fed eases.

Jobs: A significant deterioration in employment could change the Fed's calculation.

Treasury yields: Rising yields can continue creating pressure on high-multiple growth stocks.

Economic growth: As long as the economy remains resilient, the Fed has more room to fight inflation.

Every CPI, PCE and employment report just became even more important.

BOTTOM LINE

This was a hawkish FOMC.

The Fed raised rates to 3.75%–4.00%, inflation remains well above its 2% goal, and policymakers' median projections moved toward another hike this year. ([Federal Reserve][1])

But don't confuse tighter monetary policy with a collapsing economy.

Right now we're dealing with a strange combination:

**Strong economy.

Sticky inflation.

Higher rates.

More volatility.**

For traders, that means opportunities, but also more reason to respect risk.

For long-term investors, one Fed meeting shouldn't suddenly change the thesis on a quality company.

Don't just trade the headline. Understand why the Fed is doing it.

[1]: https://www.federalreserve.gov/newsevents/pressreleases/monetary20260916a.htm?utm_source=chatgpt.com "Federal Reserve Board - Federal Reserve issues FOMC statement"

[2]: https://www.reuters.com/business/warsh-says-fed-focus-stay-inflation-underlying-trends-have-not-meaningfully-2026-09-16/?utm_source=chatgpt.com "Warsh says Fed focus to stay on inflation, underlying trends have not meaningfully improved"

[3]: https://www.federalreserve.gov/monetarypolicy/fomcprojtabl20260916.htm?utm_source=chatgpt.com "The Fed - September 16, 2026: FOMC Projections materials, accessible version"

[4]: https://www.reuters.com/markets/us/feds-warsh-lays-out-forces-driving-up-bond-yields-2026-09-16/?utm_source=chatgpt.com "Fed's Warsh lays out forces driving up bond yields"

[5]: https://www.reuters.com/business/view-markets-steady-after-fed-raises-rates-points-another-hike-this-year-2026-09-16/?utm_source=chatgpt.com "VIEW Stocks pull back after Fed raises rates, points to another hike this year"

Only few spots left for this month.