InvestorGIG

( «Esse, non videri» ) Investor, aksje strateg, bygger en sterk portefølje i 📉📈Vær grådig når andre er redde i markede! Se fremover og tenk fremover..

[bee🐝 @0xbeehive]

THE DOT-COM PATTERN ІS PLAYING OUT PERFECTLY

You've probably seen this overlay more than once

S&P 500 behavior is literally mirroring the dot-com bubble of 2000

Looking at the chart right now - we just reached the local drop point

And yes - price has already started falling

If the trend holds, we're looking at a 10% drop first

Then one last bounce to print a new all-time high

After that - only down

FOLLOW + NOTIFS ON!

[MARMOT @Web3Marmot]

Everything is going exactly as I predicted.

The S&P 500 dump has begun.

But it's still 20% above its 200 EMA.

3 out of 3 previous cycles proved one thing:

Huge pump above 200 EMA always ends in a brutal crash.

2020 → 2022 → 2025

This time won't be different.

Remember, I warned about the BTC $82k bull trap and Saylor's sell-off before it happened.

My next call will be the biggest one this cycle.

Turn on notifications. Most people will follow me too late.

[Financelot @FinanceLancelot]

WATCH: @edzitron absolutely destroy the SpaceX, Anthropic and OpenAI IPOs in 5 minutes

He explains why they're all trying to cash out because the entire AI narrative is a lie.

[Milk Road AI @MilkRoadAI]

This man turned $225 million into $20 billion in two years, and up more than 1,000% since inception (Save this).

Jane Street, one of the most sophisticated quant firms on Wall Street, a firm that almost never allocates capital to outside managers has now invested in the fund and his stake in Anthropic alone accounts for roughly 20% of total assets.

Leopold's argument starts with one observation, AI compute clusters have grown at half an order of magnitude per year for over a decade, GPT-4 ran on a $500 million cluster consuming 10 megawatts.

By 2026, the leading cluster needs 1 gigawatt, the entire output of the Hoover Dam.

By 2028, 10 gigawatts, more power than most US states consume in total and by 2030, a trillion-dollar cluster consuming over 20% of all US electricity production.

The constraint is not chips but rather electricity.

US power production has barely grown in a decade while AI electricity demand is about to go vertical.

That is the central insight driving every position in the portfolio not betting on AI model companies, but rather betting on the physical infrastructure that AGI cannot exist without.

The fund's largest position is Bloom Energy and Bloom makes on site fuel cell power systems that can be deployed directly at data centers within months, bypassing the years long wait for new grid connections.

Last month Bloom signed a $2.6 billion partnership with Nebius to power 328 megawatts of AI data center capacity, and the stock surged 12% on the news.

Nebius is the other company worth watching closely which is a fast growing European AI cloud provider, think CoreWeave but for Europe committing $2.3 billion to UK AI infrastructure and building what will be the largest AI data center in the Nordic region at 310 megawatts, going live in 2027.

By partnering with Bloom for on-site power generation, Nebius solved the single hardest problem in data center expansion, where to get the electrons.

Our Milk Road analysts took positions in both Bloom Energy and Nebius before Leopold's 13F was filed before the world knew these were the exact companies the best-performing AI fund on earth was betting on.

Our subscribers are up massively on both.

Come join Milk Road Pro for our full breakdown, how we are modeling the $2.6 billion Bloom-Nebius partnership, why on-site fuel cell power is the most important bottleneck solution in AI infrastructure, and our full AI thesis.

Link below!

[HealthRanger @HealthRanger]

Financial OPINION (not professional advice): You should already be out of the tech and semiconductor stocks. You should be completely out of the Ponzi stock market and funds that invest in the market. If you are not, you may already be too late as some funds are now restricting withdrawals as people head for the exits. The stock market situation looks extremely volatile right now, and many people fear that "Dot-Com 2.0" may be near. Protect your assets!

[InvestorGIG @StormoenF]

OMG! Dette er jo helt utrolig, vis Michael Burry har rett i denne analysen så kan det bli rufsete i markedene.

[InvestorGIG @StormoenF]

Meget bra intervju på Bloomberg! Liten virkelighets analyse på A.I og selskapene rundt den store A.I fremmarsjen.

[JustDario @DarioCpx]

To go out publicly and say what he is saying, @edzitron has balls the size of the Las Vegas sphere

[InvestorGIG @StormoenF]

Spot on!

[Dave Collum @DavidBCollum]

This is the most sober and sobering analysis of AI investing that I have seen. The cannibalizing the passive flows in idices has been buzzing in my head for weeks now...

https://t.co/DNHnWSUUsr

[Loofy @Loofyb0i]

Scott Bessent spent 20 years at Soros betting against governments that destroyed their own economies.

Now he IS the US government's economic policy.

56-min and you'll understand every major macro decision coming out of Washington in 2026

bookmark - the most interesting Treasury Secretary interview in a decade

[Bull Theory @BullTheoryio]

BREAKING: Ray Dalio just said the AI market is a bubble and it will burst.

"All great technology changes produce bubbles," Dalio told Bloomberg. "The pricking is the converting of wealth into money" right now, every major tech company is pouring hundreds of billions into AI infrastructure and booking it as investment.

The moment investors demand actual returns, companies will have to show that the money spent is generating real profits from real customers. If the revenue is not there, valuations collapse and right now, the revenue is not there.

AI companies are spending $800 billion in capital expenditure this year alone. OpenAI spends $60 billion annually on cloud infrastructure against $25 billion in actual revenue.

Less than 1% of executives globally report meaningful ROI from their AI investments. 95% of enterprise AI pilots have failed to deliver measurable returns according to MIT.

The entire $2 trillion cloud backlog held by Microsoft, Oracle, Google, and Amazon is anchored by two unprofitable companies: OpenAI and Anthropic.

By 2030, the industry needs $2 trillion in annual revenue to justify what is being built today. Bain estimates it will fall $800 billion short.

Dalio is not saying the technology is fake. He is saying the economics do not work yet and every bubble in history has ended the same way when that moment of reckoning arrived.

[HealthRanger @HealthRanger]

When even Google has to sell assets to raise money to fund its AI infrastructure, you know the "easy liquidity" marketplace has nearly seized up.

[Bull Theory @BullTheoryio]

🚨Michael Burry says Nvidia has 3 big customers and if they stop buying the whole thing is over.

Those 3 customers now account for 64% of Nvidia's entire accounts receivable.

In 2020 that number was 33%. It jumped 8 percentage points in a single quarter.

Nvidia's revenue is not spread across a broad market. It is almost entirely dependent on a handful of buyers.

Burry's argument is about why those buyers may slow down or stop entirely.

He calls it the "bezzle." The bezzle is not that AI is fake. It is that a massive portion of current AI spending is coming from companies that are benchmarking models, testing systems, and competing on AI leaderboards.

That activity is temporary. It will end. But it is being counted and financed today as if it is permanent growing demand.

He says: "They are just flying empty airplanes around."

When that benchmarking phase ends those 3 concentrated customers have far less reason to keep ordering chips at the current pace.

And because Nvidia's revenue is this concentrated even a partial slowdown from those buyers creates a massive hole in its numbers.

Now here is where it gets more alarming.

Microsoft, Amazon, Alphabet, Meta, and Oracle together have $662 billion in off balance sheet AI commitments according to Moody's.

Standard accounting rules allow companies to keep this completely hidden from their reported numbers.

To fund this infrastructure private equity firms have been buying life insurance companies.

But why?

A PE firm owns illiquid investments that need financing. It buys an insurance company which collects premiums from ordinary policyholders. That insurance company then invests those premiums into the PE firm's own illiquid assets.

The PE firm then sets up a captive reinsurer in Bermuda with lighter capital requirements and pushes the insurance risk onto that offshore balance sheet.

Burry's point is that all of this is connected. The same PE firms own the insurance companies funding the AI debt. The same Bermuda structures hold the risk.

If any major hyperscaler walks away from a data center commitment everything hits at the same time because every counterparty in the chain is linked to the same underlying assets.

The AI boom is being measured during the most artificial phase of the buildout.

Nobody knows what real demand looks like when the benchmarking phase is over and $662 billion in hidden commitments needs to be serviced.

[Andrew Kuhn @FocusedCompound]

Goldman Sachs forcing every pension fund to buy AI companies with $10 billion net losses at $1 trillion valuations

[Ole André Hagen @OleAndreHagen]

Kundene til Microsoft, Anthropic og OpenAI sine modeller er sjokk når de må betale kostnaden for modellene, som inntil nylig har vært massivt subsidierte.

Den veldig kortsiktige effekten er økte inntekter til LLM-leverandørene - slik at de akkurat rekker å booke gode ARR i S-1 filingene. Men tror ikke vi trenger å vente mange dagene/ukene før kundene endrer atferd dramatisk. Det å kvitte seg med utviklere fremstår som mer og mer som en ekstremt risikabel og kortsiktig strategi.

Kina-modeller med åpne vekter som kjøre lokalt er nok på 1. plass av hva kundene nå ønsker å gjøre, så får vi se hvor lang tid det tar før USA forbyr billige Kina-modeller (Damodei og Altman er på saken).

[Сarm1ne @carm1nee]

Ron Baron put $1.7 billion into SpaceX while it was private - it turned into $15 billion

he just placed a billion dollar order at the IPO and said "10 trillion, 20 trillion, 30 trillion and I could be very low"

he started with $100 million in 1992, made his clients $61 billion in profit when he was a kid he drove an ice cream truck, now the president of the NYSE comes to him for advice

"I pushed all the chips to the center of the table to be tied to the most successful man on the planet, clearly risky, but that's my game"

"never bet against the guy with superpowers who would never give up"

bookmark and watch it today ↓

[HealthRanger @HealthRanger]

Who else is noticing that seemingly the entire U.S. stock market is now driven by weapons manufacturers, AI surveillance technology developers, data center bubble builders and sick-care pharma bioweapons makers?

There seems to be zero incentive in the current grotesque economic system for building things that work and that HELP people live better lives. It's all about bombing them, spying on them, depopulating them or exploiting them for profit.

That's what the U.S. economic system has largely become, sadly.

[HealthRanger @HealthRanger]

The bubble is enormous. When this one self-destructs it will be truly epic.