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1,000-year financial link just shattered

For 10,000 years, progress had one bottleneck.

The human mind. If you wanted to solve more problems... cure more diseases... build more wealth... you needed more people. Bigger teams. Bigger brains. More hours.

That was the deal.

It was the foundation of every economy ever built...

The unbroken link between human cognition and economic output.

But that link just shattered.

And people have no idea what that means for their financial future.

But as Luke Lango and I just revealed in our latest investigation, we've crossed what we're calling the Cognitive Decoupling... the moment intelligence was permanently separated from human labor.

Not in theory. Not as a thought experiment.

But as a measurable, observable economic reality.

An AI model just solved a mathematics problem that stumped the world's best minds for decades. It took 15 minutes.

Another cracked a 50-year "grand challenge" in biology... predicting the 3D structures of over 200 million proteins. A task that would have taken scientists a century. The team won the Nobel Prize in Chemistry.

And these aren't narrow, scripted programs following instructions. These systems are generating novel proofs... performing abstract reasoning... and improving their own thinking in real-time.

As Geoffrey Hinton, the Nobel Prize winner known as the "Godfather of AI," explains... these models operate as a collective hive mind at an unfathomable scale.

Now here's where this becomes personal to you and your money...

Once a machine is faster, cheaper, and smarter than a human at any given economically valuable activity... the economic reason to hire that human simply vanishes.

It's not that AI is replacing jobs.

It's replacing the very reason labor was valuable in the first place.

McKinsey just found that AI can already perform tasks that occupy 44% of U.S. work hours. Not future AI. Current AI. Today. And this is why, although markets are hitting all-time highs... households are falling further and further behind.

Because for the first time ever, capital can now compound without additional labor.

The centuries-old relationship where job creation and GDP rose together has snapped... and the economy can now scale without bringing workers along for the ride.

This "snap" is creating a divide that will only widen from here.
On one side: those who own the assets of this new economy and grow wildly wealthy. On the other: those who cling to old-world skills and are left behind.

Which side you end up on could depend entirely on the decisions you make now.

Luke and I have laid out the full story... the stocks to buy... the stocks to sell... and the three money moves our research indicates you must make to ensure you and your loved ones are on the winning side of this divide.

→ Click here to stream it at no cost.

Good investing,

Porter Stansberry

Nebius is not rallying because traders suddenly discovered a forgotten cloud stock.

It is rallying because the market keeps relearning the same lesson: in this AI cycle, the biggest money is flowing first into compute, power, networking, and specialized cloud capacity. Nebius sits directly inside that lane. It is one of the so-called “neocloud” companies, alongside names like CoreWeave, that specialize in AI-native infrastructure rather than broad enterprise cloud services. Reuters notes that Nebius has already landed high-profile supply deals with Microsoft and Meta, which helped move it from curiosity to credible infrastructure player.

That context matters because NVIDIA’s $2 billion investment is not just a vote of confidence in one small-cap momentum name. It is also a statement about where the bottlenecks still are. NVIDIA is effectively signaling that the next stage of AI monetization depends on who can stand up real-world capacity fast enough: data centers, GPU clusters, power contracts, cooling systems, and software layers that make those assets usable for developers and enterprises.

This is why NBIS is trading like an infrastructure option on the next leg of AI demand.

The headline catalyst is straightforward. On March 11, NVIDIA said it would invest $2 billion in Nebius and deepen a strategic partnership spanning AI factory design, inference software, fleet management, and deployment of multiple generations of NVIDIA infrastructure, including Rubin, Vera CPUs, and BlueField storage systems. NVIDIA and Nebius said the goal is to help Nebius deploy more than 5 gigawatts of capacity by the end of 2030.

That is not a normal reseller agreement.

It is a full-stack alignment between the dominant AI chip supplier and one of the more aggressive independent AI cloud builders in the market. Reuters added that the stake is roughly 8.3%, purchased at $94.94 per share, which means NVIDIA is not just selling Nebius chips. It is now financially tied to Nebius’s scaling trajectory.

The market reacted accordingly. NBIS was marked around $112.00, up about 16.1% in premarket-style trading data available through the finance feed. Reuters reported the stock was up 13.8% during Wednesday trading after the announcement. The difference between those figures likely reflects continued movement after Reuters’ earlier timestamp, but the directional message is the same: traders are aggressively re-pricing Nebius on the idea that its access to capital, chips, and customer credibility just improved at once.

The financial backdrop explains why the move is so violent.

Nebius is growing at a pace that does not look normal even by AI standards. Reuters reported Q4 2025 revenue of $227.7 million, more than six times the prior-year level, though still below the $246.1 million consensus. Net loss widened to $249.6 million from $133.2 million a year earlier. Capital expenditures surged to about $2.1 billion in the quarter, compared with $416 million in the year-ago period.

Those numbers tell you what this stock is.

NBIS is not an earnings-quality story yet. It is a capacity-accumulation story.

The market is effectively saying: if Nebius can lock down enough GPUs, enough power, enough sites, and enough long-term customer commitments, then the revenue curve can outrun today’s losses later. Reuters said Nebius finished 2025 with an annualized revenue run-rate of $1.25 billion and expects to end 2026 at $7 billion to $9 billion. That is a breathtaking target, and it is precisely why a strategic NVIDIA investment matters so much.

Looking at Reuters’ company financial snapshot, Nebius generated $529.8 million of revenue in 2025 with $363.6 million in gross profit and $4.13 billion in total debt. Total assets stood at $12.45 billion. That profile reinforces the market’s current valuation framework: this is a company spending like an infrastructure platform long before it looks comfortable on traditional bottom-line metrics.

There is also evidence the company’s acceleration has been building for a while. Earlier disclosures showed Nebius had $249 million in annualized run-rate revenue at the end of Q1 2025, up 684% year over year, and management then said it expected $750 million to $1 billion in ARR by year-end 2025. By August 2025, Nebius had already raised that guidance to $900 million to $1.1 billion and said its core business had reached positive adjusted EBITDA in Q2.

That progression matters because it shows Nebius has repeatedly moved its revenue run-rate higher as capacity came online. The market is extrapolating that same pattern again.

The Nebius move is not isolated. It has implications across the AI infrastructure chain.

First, it strengthens the neocloud thesis. Companies like Nebius and CoreWeave are effectively becoming specialized AI utilities: they buy or secure GPU capacity, build or lease data-center footprints, and resell tailored AI infrastructure to developers, startups, and hyperscalers. Reuters has repeatedly grouped Nebius with CoreWeave in this category.

Second, the announcement is another signal that NVIDIA wants to shape the cloud layer around its silicon rather than simply ship chips into a neutral market. NVIDIA is now not just a supplier to Nebius but an investor and development partner, with direct involvement in AI factory design, early system access, and production software integration. That gives Nebius a stronger competitive narrative versus smaller infrastructure challengers.

Third, the deal underscores how important power procurement and real estate have become. Nebius said it had already secured more than 2 gigawatts of contracted power and expects more than 3 gigawatts by the end of 2026. Reuters separately reported the company is building a 240-megawatt facility near Lille, France, one of Europe’s largest, with phased deployment beginning by late summer 2026.

That means the read-through is broader than just chips. It touches utilities, data-center developers, cooling, networking, and any supplier tied to AI factory construction.

For active traders, the key question is not whether the news is good.

It clearly is.

The real question is whether this becomes a continuation move or a climax move.

NBIS is trading around $112, well above NVIDIA’s $94.94 investment price. That spread matters. It tells you the market is assigning value not just to the cash injection, but to the signal value of NVIDIA’s endorsement and to the possibility that Nebius now has a better path to capacity, customers, and future financing.

The first technical issue is gap sustainability. A gap driven by hard-dollar strategic investment is usually more durable than a gap driven by vague AI press release language. But durability still depends on whether institutions continue to accumulate after the open.

The second issue is volatility. Nebius has already shown it can be a high-beta name. Reuters noted the shares surged more than 200% in 2025 and have reacted violently to both contracts and capex updates. Stocks with that profile often overshoot in both directions.

The third issue is valuation versus execution risk. At current levels, traders are paying up for a company that is still reporting large losses, spending heavily, and operating in a market where access to power, chips, and financing can determine winners and losers very quickly. That does not kill the momentum trade. It just means pullbacks can be sharp if the market starts questioning the pace of revenue conversion.

The bull case is that NVIDIA’s investment marks the beginning of a deeper re-rating for Nebius as one of the few independent AI cloud platforms with enough capital access and technical credibility to scale globally.

In that scenario, traders focus on three things: the $2 billion strategic investment, the 5-gigawatt 2030 capacity plan, and the $7 billion to $9 billion 2026 run-rate target. If the market believes Nebius can convert those inputs into customer growth the way it already has with Microsoft and Meta, the stock can keep trading on future capacity rather than trailing losses.

The base case is that the stock digests the move but keeps a higher floor than it had before the announcement.

That would mean investors accept that NVIDIA’s endorsement materially improves Nebius’s strategic position, but they also wait for evidence that the new partnership translates into measurable commercial upside: more customer wins, more deployed megawatts, more run-rate acceleration, or better visibility on margins. In that scenario, NBIS likely remains volatile but tradable, with the narrative staying constructive as long as management keeps hitting capacity milestones.

The bear case is execution.

Nebius is spending at a massive rate. Q4 capex of $2.1 billion, debt of $4.13 billion, and a quarterly net loss of $249.6 million leave little margin for operational disappointment. If the market starts to doubt the 2026 run-rate target, or if infrastructure costs rise faster than expected, the stock can compress quickly even with NVIDIA on the cap table. Reuters has already highlighted wider market worries around whether AI infrastructure middlemen can generate acceptable returns on these huge builds.

What matters next is confirmation.

Watch whether NBIS can hold above the level implied by NVIDIA’s purchase price and avoid a fast round-trip fade back toward the low-$100s. The stock is now trading materially above the $94.94 deal price, which means the market is already embedding future optionality. If that premium holds, it suggests institutions agree the partnership changes the earnings-power trajectory, not just the next headline cycle.

Also watch for second-order confirmation from the broader AI infrastructure complex. If Nebius strength spills into other data-center, networking, or AI-capacity names, that would suggest the market is treating this as a sector signal rather than a one-off event.

Finally, keep the next earnings cycle in focus. Nebius is still in the “prove it” phase. Traders should be watching for updated revenue run-rate commentary, incremental power-contract wins, new site announcements, and any sign that the NVIDIA partnership accelerates customer conversion or platform monetization.

Nebius is surging because this was not a soft partnership announcement.

NVIDIA committed $2 billion, took roughly 8.3% of the company at $94.94 per share, and tied itself to Nebius’s effort to build one of the largest AI-native cloud platforms in the market. At the same time, Nebius is already showing the numbers that make speculative infrastructure stocks dangerous to ignore: Q4 revenue of $227.7 million, a $1.25 billion end-2025 run-rate, and a stated path to $7 billion to $9 billion by the end of 2026.

The opportunity is obvious.

So is the risk.

This company is spending enormous sums to secure power, GPUs, and data-center footprint before the full earnings base is there. That is why the stock is so explosive. If execution holds, NBIS can continue behaving like a premium AI infrastructure asset. If execution slips, the multiple can unwind just as fast.

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_{This commentary is for informational and educational purposes only and does not constitute investment advice. All market strategies involve risk, and past performance is not indicative of future results. Readers should conduct their own analysis or consult a licensed financial professional before making investment decisions.}