Invest in - "sovereign AI".
As the US keeps tightening export controls on advanced AI chips, technology and recently new frontier models (Fable 5), governments outside the US are realizing they can't depend on AI they don't control.
So they're racing to build their own. That means their own chips, data centers, and models, on their own soil. That's "sovereign AI," and it's become one of the biggest spending trends in tech.
1. The EU is going all in. Through its InvestAI plan, the EU committed €20 billion to build AI gigafactories, each with around 100,000 AI chips, to train Europe's own very large models instead of relying on US companies. They even have a Commissioner for Tech Sovereignty. The whole goal is for Europe to stand on its own as an "AI continent."
2. Australia too. Its National AI Plan pushes sovereign capability, meaning Australian data on Australian controlled infrastructure. Data center investment there is forecast to reach about AU$26 billion by 2030, and giants are piling in, with Microsoft investing A$25 billion and AWS A$20 billion to build local capacity. The same story is forming across the Middle East, India, and Japan.
3. So how does a beginner actually invest in this? The key insight: you don't need to guess which AI model wins. You invest in the "picks and shovels," the companies that build the chips, data centers, and power that every sovereign AI project runs on. They get paid regardless of whose model wins.
4. The simplest, lower risk way is an ETF. Instead of betting on one company, an ETF holds a whole basket.
For this theme, something like the Global X Data Center & Digital Infrastructure ETF $DTCR, which holds data center operators and digital infrastructure names, packages it into one ticker.
VanEck also just launched a data center supply chain ETF $RACK. This is usually the smartest starting point for a beginner.
5. If you want individual names (higher risk, higher reward), think in layers. For chips, there's Nvidia $NVDA, which sells the GPUs to nearly everyone, including the EU, since it has no chip production of its own yet. For the data center and "neocloud" layer, there's the big 3, $IREN Nebius $NBIS, and CoreWeave $CRWV, which build and rent out the actual compute.
6. Why IREN stands out on the sovereign angle.
It has power and data centers across the US, Europe (Spain), and Asia Pacific, the exact regions building sovereign AI. And its recent Mirantis acquisition added the software and Kubernetes orchestration layer that turns raw GPUs into a complete, standalone AI cloud a government or bank can run on its own terms.
> Hardware plus software plus global footprint.
As the US keeps tightening export controls on advanced AI chips, technology and recently new frontier models (Fable 5), governments outside the US are realizing they can't depend on AI they don't control.
So they're racing to build their own. That means their own chips, data centers, and models, on their own soil. That's "sovereign AI," and it's become one of the biggest spending trends in tech.
1. The EU is going all in. Through its InvestAI plan, the EU committed €20 billion to build AI gigafactories, each with around 100,000 AI chips, to train Europe's own very large models instead of relying on US companies. They even have a Commissioner for Tech Sovereignty. The whole goal is for Europe to stand on its own as an "AI continent."
2. Australia too. Its National AI Plan pushes sovereign capability, meaning Australian data on Australian controlled infrastructure. Data center investment there is forecast to reach about AU$26 billion by 2030, and giants are piling in, with Microsoft investing A$25 billion and AWS A$20 billion to build local capacity. The same story is forming across the Middle East, India, and Japan.
3. So how does a beginner actually invest in this? The key insight: you don't need to guess which AI model wins. You invest in the "picks and shovels," the companies that build the chips, data centers, and power that every sovereign AI project runs on. They get paid regardless of whose model wins.
4. The simplest, lower risk way is an ETF. Instead of betting on one company, an ETF holds a whole basket.
For this theme, something like the Global X Data Center & Digital Infrastructure ETF $DTCR, which holds data center operators and digital infrastructure names, packages it into one ticker.
VanEck also just launched a data center supply chain ETF $RACK. This is usually the smartest starting point for a beginner.
5. If you want individual names (higher risk, higher reward), think in layers. For chips, there's Nvidia $NVDA, which sells the GPUs to nearly everyone, including the EU, since it has no chip production of its own yet. For the data center and "neocloud" layer, there's the big 3, $IREN Nebius $NBIS, and CoreWeave $CRWV, which build and rent out the actual compute.
6. Why IREN stands out on the sovereign angle.
It has power and data centers across the US, Europe (Spain), and Asia Pacific, the exact regions building sovereign AI. And its recent Mirantis acquisition added the software and Kubernetes orchestration layer that turns raw GPUs into a complete, standalone AI cloud a government or bank can run on its own terms.
> Hardware plus software plus global footprint.
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🇨🇭 Global One SI - Prompt
$IREN/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
Next year will be a major inflection point for $IREN
Important to note that IREN has confirmed that they are already in negotiations for 2027 capacity.
Important to note that IREN has confirmed that they are already in negotiations for 2027 capacity.
🇨🇭 Global One SI - Prompt
$MU/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
$MU Everyone wants AI exposure.
Few investors ask a much more important question:
Where does all that AI data actually live?
The answer is memory.
While the market chases the latest AI headlines, Micron continues doing what leaders do:
- Higher highs
- Higher lows
- Strong institutional accumulation
- Rising volume trend
- Powerful AI demand tailwinds
The chart remains in a textbook long-term uptrend and is now pushing back toward all-time highs ahead of earnings.
Interesting timing considering one of the most respected value investors ever, Li Lu, once held 11.4M shares before exiting in 2023.
Today that position would be worth over $11 billion.
The AI story hasn't slowed down.
And memory remains one of its most critical foundations.
Still one of my favorite large-cap AI charts.
$MU #AI #Semiconductors #Datacenter #Memory #NVIDIA #TechnologyStocks
Few investors ask a much more important question:
Where does all that AI data actually live?
The answer is memory.
While the market chases the latest AI headlines, Micron continues doing what leaders do:
- Higher highs
- Higher lows
- Strong institutional accumulation
- Rising volume trend
- Powerful AI demand tailwinds
The chart remains in a textbook long-term uptrend and is now pushing back toward all-time highs ahead of earnings.
Interesting timing considering one of the most respected value investors ever, Li Lu, once held 11.4M shares before exiting in 2023.
Today that position would be worth over $11 billion.
The AI story hasn't slowed down.
And memory remains one of its most critical foundations.
Still one of my favorite large-cap AI charts.
$MU #AI #Semiconductors #Datacenter #Memory #NVIDIA #TechnologyStocks
🇨🇭 Global One SI - Prompt
$POET/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$POET This is exactly why I've been watching it closely.
Not because of what happened.
Because of what could happen next.
The chart is compressing after a powerful advance while volume remains elevated — often the type of action that precedes the next directional move.
What makes this setup interesting is that the technical picture is being supported by multiple fundamental catalysts:
- AI optical networking demand continues accelerating
- POET's optical interposer platform targets AI datacenters and high-speed connectivity markets
- Growing industry focus on reducing power consumption and improving bandwidth efficiency in AI infrastructure
- Potential commercialization and customer adoption milestones throughout 2026
The AI buildout isn't slowing down.
More AI means more data.
More data means faster optical connectivity.
That's where the story gets interesting.
As long as price continues holding this consolidation range, the next breakout attempt remains firmly on the table.
$POET #AI #Datacenter #OpticalNetworking #Semiconductors #TechnologyStocks
Not because of what happened.
Because of what could happen next.
The chart is compressing after a powerful advance while volume remains elevated — often the type of action that precedes the next directional move.
What makes this setup interesting is that the technical picture is being supported by multiple fundamental catalysts:
- AI optical networking demand continues accelerating
- POET's optical interposer platform targets AI datacenters and high-speed connectivity markets
- Growing industry focus on reducing power consumption and improving bandwidth efficiency in AI infrastructure
- Potential commercialization and customer adoption milestones throughout 2026
The AI buildout isn't slowing down.
More AI means more data.
More data means faster optical connectivity.
That's where the story gets interesting.
As long as price continues holding this consolidation range, the next breakout attempt remains firmly on the table.
$POET #AI #Datacenter #OpticalNetworking #Semiconductors #TechnologyStocks
🇨🇭 Global One SI - Prompt
$SLNH dip looks more like a momentum reset than a breakdown. Still seeing: → strong OBV → elevated volume → bullish structure → AI/power infrastructure narrative intact This is where things get interesting. The market still can’t decide if: $SLNH is a Bitcoin…
$SLNH The market continues focusing on AI chips.
I continue focusing on the infrastructure required to make AI possible.
Every new datacenter, AI model and compute cluster ultimately depends on one thing:
Power.
That is why the broader thesis around $SLNH remains compelling.
The company is building at the intersection of energy infrastructure, renewable power assets and next-generation compute demand — a theme that continues gaining importance as AI deployment accelerates.
From a technical perspective, price has spent the last several weeks compressing within a tightening symmetrical triangle.
Not a broken chart.
Not a failed breakout.
A consolidation.
Volume has remained constructive while the range continues narrowing, suggesting the market is waiting for the next catalyst.
The AI revolution will not be constrained by chips alone.
It will be constrained by access to power.
Companies positioned to solve that problem deserve attention.
It remains firmly on my watchlist.
I continue focusing on the infrastructure required to make AI possible.
Every new datacenter, AI model and compute cluster ultimately depends on one thing:
Power.
That is why the broader thesis around $SLNH remains compelling.
The company is building at the intersection of energy infrastructure, renewable power assets and next-generation compute demand — a theme that continues gaining importance as AI deployment accelerates.
From a technical perspective, price has spent the last several weeks compressing within a tightening symmetrical triangle.
Not a broken chart.
Not a failed breakout.
A consolidation.
Volume has remained constructive while the range continues narrowing, suggesting the market is waiting for the next catalyst.
The AI revolution will not be constrained by chips alone.
It will be constrained by access to power.
Companies positioned to solve that problem deserve attention.
It remains firmly on my watchlist.
🇨🇭 Global One SI - Prompt
Anthropic Just Shot Itself in the Foot Anthropic launched Fable 5 and Mythos 5, then watched the US government shut them down three days later. The same government their CEO Dario Amodei has been begging for years to regulate AI harder. Now he got exactly…
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Me getting ready for work while cafeteria staff at Space X are becoming millionaires.
🇨🇭 Global One SI - Prompt
🚨 Physicists believe you can expand your consciousness and enhance your perception to see different layers of reality. Quantum-enhanced humans might see further domains of reality than we could ever imagine.
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How it feels to discover AI for the first time:
🇨🇭 Global One SI - Prompt
Back then, the K-shape was about skills: Who uses AI vs who gets managed by it. Now it's being built into the pricing itself: • AI labs are subsidizing your $20 plan so aggressively they lose up to $13,800/month on power users • Anthropic's new Fable model…
We're all in the same boat with Mythos / Fable guys!
Source: Trust me bro!
Source: Trust me bro!
🗿1
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Fable 5 was banned by the US government yesterday.
It's time to build your own Personal AI Computer and run local models. So no one can ever cut you off.
Here's how ↓
github.com/autonomous-ai/autonomous-computer
You'll find build guides for 2x / 4x / 8x GPU, for different budgets and use cases.
We open source everything (BOM, CAD, assembly instruction, and software setup).
It's time to build your own Personal AI Computer and run local models. So no one can ever cut you off.
Here's how ↓
github.com/autonomous-ai/autonomous-computer
You'll find build guides for 2x / 4x / 8x GPU, for different budgets and use cases.
We open source everything (BOM, CAD, assembly instruction, and software setup).
✍1
🇨🇭 Global One SI - Prompt
The Iran war “ended” the day before the biggest IPO in history, Trump’s birthday, and a UFC card at the White House. What a coincidence. What timing. Wow.
President Trump says a deal with Iran is scheduled to be signed tomorrow, immediately reopening the Strait of Hormuz.
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🇺🇸🇮🇷 Per U.S. officials, the vice president will sign the MOU in Geneva, after which the harder technical talks shift to Islamabad, fitting given Pakistan brokered the whole thing.
Trump will then use next week's G7 in France to ask world leaders to help monitor the Strait of Hormuz and keep Iran honest on the terms.
Two things worth noting.
Moving phase two to Islamabad cements Pakistan as the permanent guarantor, not just the courier.
And Trump seeking multinational monitoring of Hormuz means the strait's reopening becomes an international project, not a U.S. and Iran handshake, which is how you make a fragile deal harder for either side to quietly break.
Source: WSJ
Trump will then use next week's G7 in France to ask world leaders to help monitor the Strait of Hormuz and keep Iran honest on the terms.
Two things worth noting.
Moving phase two to Islamabad cements Pakistan as the permanent guarantor, not just the courier.
And Trump seeking multinational monitoring of Hormuz means the strait's reopening becomes an international project, not a U.S. and Iran handshake, which is how you make a fragile deal harder for either side to quietly break.
Source: WSJ
🇨🇭 Global One SI - Prompt
$SIVE/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$SIVE What’s wild is that most people think a 1,900% move means the run is over. In reality, the real game is just beginning.
Think about it:
Why are heavyweights like JPM and Fidelity buying in now, after a 20x move?
Because institutions don't buy micro-caps for a quick flip.
Their compliance and risk models wouldn't even let them look at this at 4 SEK.
They need size, liquidity, and a multi-billion dollar destination.
By entering now, they are validating the long-term thesis and building core positions for the next leg up.
As these institutions buy up large positions, fewer shares remain available on the open market.
Once the stock gets added to major indexes, automated funds will have to buy even more.
The hardest part isn't finding a winning stock, it’s having the patience to stay invested when big institutions finally arrive.
Think about it:
Why are heavyweights like JPM and Fidelity buying in now, after a 20x move?
Because institutions don't buy micro-caps for a quick flip.
Their compliance and risk models wouldn't even let them look at this at 4 SEK.
They need size, liquidity, and a multi-billion dollar destination.
By entering now, they are validating the long-term thesis and building core positions for the next leg up.
As these institutions buy up large positions, fewer shares remain available on the open market.
Once the stock gets added to major indexes, automated funds will have to buy even more.
The hardest part isn't finding a winning stock, it’s having the patience to stay invested when big institutions finally arrive.
🇶🇦🇮🇷 Qatar is offering Iran $12 billion on a silver platter: $6B in previously frozen funds + another $6B as a fresh loan/credit line.
The first $6B is supposed to be “humanitarian,” the second stays under Qatar’s management but Tehran decides how to spend it.
The Gulf Arabs are literally paying Tehran to behave.
Source: Mehr News
The first $6B is supposed to be “humanitarian,” the second stays under Qatar’s management but Tehran decides how to spend it.
The Gulf Arabs are literally paying Tehran to behave.
Source: Mehr News
🇨🇭 Global One SI - Prompt
How to master Claude - 10x your AI productivity with this playbook. (as a complete beginner)
You need to use Claude to build a personal OS.
If <60 seconds, you can build a habit tracker app that changes your life and boosts your daily productivity.
Track your calendar, to-do list, daily tasks & more - all locally stored.
If <60 seconds, you can build a habit tracker app that changes your life and boosts your daily productivity.
Track your calendar, to-do list, daily tasks & more - all locally stored.
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The AI supercycle will last 15 years. We're in year 3.
Most investors are still buying Phase 1 names while the real money is already rotating into Phase 3.
I mapped the entire cycle into 4 phases with the tickers that matter at each stage:
The AI supercycle is the biggest investment theme of our generation. Bigger than mobile. Bigger than cloud. A 15 year structural shift that will reshape every sector of the global economy. Hyperscalers just committed $725 billion in capex for 2026, nearly doubling last year. Microsoft, Google, Amazon, and Meta each spending over $100 billion individually.
This is not speculation. I've mapped the entire supercycle into four phases so you know exactly where we are and where the asymmetric opportunities sit.
🔴 Phase 1: Already Ran (2023 to 2025)
The foundation layer is complete. $AMD ran 78% in 2025, $NVDA 39%, and $INTC just posted a blowout Q1 that sent the Philadelphia Semiconductor Index above 10,000 for the first time. Chips still power every phase but the generational entries are gone and risk/reward has compressed.
- $NVDA, $AMD, $ARM, $INTC, $AVGO, $MU, $GLW
- Semiconductors, Memory & Storage,Photonics/Optics
- Foundation complete. Still growing but priced for it.
🟠 Phase 2: Peak Buildout (2025 to 2027)
The phase most investors just woke up to. $CEG acquired Calpine to become the largest U.S. private power producer at 55 GW. $GEV up over 200% in a year. $VRT co engineering cooling for NVIDIA's Rubin architecture. $GLW up 74% YTD on optical fiber demand. Nuclear SMRs are the breakout with $OKLO, $SMR, and $BWXT positioning to power data centers directly. Still upside but the obvious names have moved.
- $CEG, $GEV, $VRT, $VST, $TLN, $ANET, $GLW, $MOD, $EQIX $OKLO, $SMR, $BWXT, $NNE
- Power/Grid, Cooling, Networking, Nuclear/SMR Peak buildout.
- Nuclear SMRs are the sleeper.
🟡 Phase 3: The Positioning Window (2026 to 2028)
Where AI escapes the data center and enters the physical world. Most will be late. Tesla converting Fremont to Optimus production, $25B capex, mass production targeted H2 2026. Rocket Lab posted record $602M revenue with $1.85B backlog. $LUNR up 47% YTD with $943M in contracts. $KTOS Valkyrie drone selected for the Marine Corps. The window to position is open right now.
- $TSLA, $RKLB, $LUNR, $KTOS, $AVAV, $PATH, $ISRG $MP, $FCX, $ALB, $ASTS
- Robotics/Autonomy, Space/Defense/Drones, Rare Earths
- This is where the asymmetric risk/reward lives.
🟢 Phase 4: Final Frontier (2028+)
The endgame. Microsoft capex $190B. Alphabet $190B. Amazon $200B. Meta $145B. Google Cloud backlog past $460B. They're building the rails for AI software dominance and AGI. Quantum still early but $IONQ and D Wave are laying groundwork. The platforms that control the software layer win the entire supercycle.
- $MSFT, $GOOGL, $AMZN, $META, $ORCL, $IONQ
- AI Software Dominance, AGI Infrastructure Decade long thesis.
- Accumulate on weakness.
💊 Key Takeaway
- Phase 2 is confirmed ($725B hyperscaler capex)
- Phase 3 is where the smart money positions nowRobotics, space, defense, nuclear
- SMR are the 2026 to 2028 trades
- Most will rotate into these names 12 months too late
15 year supercycle. Not a trade. Phase 1 ran. Phase 2 is priced. Phase 3 is where you want to be.
Most investors are still buying Phase 1 names while the real money is already rotating into Phase 3.
I mapped the entire cycle into 4 phases with the tickers that matter at each stage:
The AI supercycle is the biggest investment theme of our generation. Bigger than mobile. Bigger than cloud. A 15 year structural shift that will reshape every sector of the global economy. Hyperscalers just committed $725 billion in capex for 2026, nearly doubling last year. Microsoft, Google, Amazon, and Meta each spending over $100 billion individually.
This is not speculation. I've mapped the entire supercycle into four phases so you know exactly where we are and where the asymmetric opportunities sit.
🔴 Phase 1: Already Ran (2023 to 2025)
The foundation layer is complete. $AMD ran 78% in 2025, $NVDA 39%, and $INTC just posted a blowout Q1 that sent the Philadelphia Semiconductor Index above 10,000 for the first time. Chips still power every phase but the generational entries are gone and risk/reward has compressed.
- $NVDA, $AMD, $ARM, $INTC, $AVGO, $MU, $GLW
- Semiconductors, Memory & Storage,Photonics/Optics
- Foundation complete. Still growing but priced for it.
🟠 Phase 2: Peak Buildout (2025 to 2027)
The phase most investors just woke up to. $CEG acquired Calpine to become the largest U.S. private power producer at 55 GW. $GEV up over 200% in a year. $VRT co engineering cooling for NVIDIA's Rubin architecture. $GLW up 74% YTD on optical fiber demand. Nuclear SMRs are the breakout with $OKLO, $SMR, and $BWXT positioning to power data centers directly. Still upside but the obvious names have moved.
- $CEG, $GEV, $VRT, $VST, $TLN, $ANET, $GLW, $MOD, $EQIX $OKLO, $SMR, $BWXT, $NNE
- Power/Grid, Cooling, Networking, Nuclear/SMR Peak buildout.
- Nuclear SMRs are the sleeper.
🟡 Phase 3: The Positioning Window (2026 to 2028)
Where AI escapes the data center and enters the physical world. Most will be late. Tesla converting Fremont to Optimus production, $25B capex, mass production targeted H2 2026. Rocket Lab posted record $602M revenue with $1.85B backlog. $LUNR up 47% YTD with $943M in contracts. $KTOS Valkyrie drone selected for the Marine Corps. The window to position is open right now.
- $TSLA, $RKLB, $LUNR, $KTOS, $AVAV, $PATH, $ISRG $MP, $FCX, $ALB, $ASTS
- Robotics/Autonomy, Space/Defense/Drones, Rare Earths
- This is where the asymmetric risk/reward lives.
🟢 Phase 4: Final Frontier (2028+)
The endgame. Microsoft capex $190B. Alphabet $190B. Amazon $200B. Meta $145B. Google Cloud backlog past $460B. They're building the rails for AI software dominance and AGI. Quantum still early but $IONQ and D Wave are laying groundwork. The platforms that control the software layer win the entire supercycle.
- $MSFT, $GOOGL, $AMZN, $META, $ORCL, $IONQ
- AI Software Dominance, AGI Infrastructure Decade long thesis.
- Accumulate on weakness.
💊 Key Takeaway
- Phase 2 is confirmed ($725B hyperscaler capex)
- Phase 3 is where the smart money positions nowRobotics, space, defense, nuclear
- SMR are the 2026 to 2028 trades
- Most will rotate into these names 12 months too late
15 year supercycle. Not a trade. Phase 1 ran. Phase 2 is priced. Phase 3 is where you want to be.