If you wanted to build a 7-figure retirement portfolio, would you only chase the AI names everyone already loves?
Or would you study the infrastructure that makes the AI economy possible?
My watchlist:
$GEV — power for AI data centers
$TXN — analog + power management
$CRDO — high-speed AI connectivity
$ASML — advanced chipmaking equipment
$LITE — optical interconnects
$NBIS — AI cloud infrastructure
$HOOD — fintech + retail trading platform
This is not just an optical infrastructure list.
The market started with GPUs.
But the next decade will need the full stack.
If you wanted to build a 7-figure retirement portfolio, would you only chase the AI names everyone already loves?
Or would you study the supply chain before it becomes obvious?
20 stocks tied to the NVIDIA ecosystem:
$TSM — chip manufacturing
$ASML — EUV lithography
$AMAT — wafer equipment
$LRCX — etch/deposition
$KLAC — process control
$AMKR — advanced packaging/testing
$MU — HBM memory
$MRVL — AI networking + silicon photonics
$AVGO — AI networking + private cloud
$ARM — Grace CPU architecture
$DELL — AI servers
$HPE — AI systems
$SMCI — Blackwell server racks
$CSCO — AI networking + servers
$VRT — power + cooling
$ETN — data center power
$CRWV — AI cloud
$MSFT — Azure AI infrastructure
$ORCL — OCI AI cloud
$AMZN — AWS AI infrastructure
The real AI trade is not just GPUs.
It is chips, memory, packaging, networking, servers, power, cooling, and cloud capacity.
Save this list.
If you wanted to build a 7-figure retirement portfolio, would you only buy the AI names everyone already loves?
Or would you study the supply chain before the crowd catches on?
My AI optical infrastructure watchlist:
$LITE — lasers + optical components
$CIEN — optical networking systems
$GLW — fiber glass + data center connectivity
$COHR — optical components
$AAOI — datacenter optics
$FN — optical transceivers
$VIAV — optical testing + network equipment
$ALAB — AI connectivity infrastructure
The first AI wave was compute.
The next bottleneck may be bandwidth, power efficiency, and moving data at scale.
If you wanted to build a 7-figure retirement portfolio, would you only buy the AI names everyone already loves?
Or would you study the supply chain before the crowd catches on?
My AI optical infrastructure watchlist:
$GLW
$AXTI
$IQE.L
$AIXA
$AMS
The theme is simple:
AI data centers are moving more data than ever.
That means fiber, lasers, photonics, substrates and optical interconnects matter more than ever.
Which one is the most underrated?
Billionaire Bill Ackman’s Pershing Square is heavily concentrated in a few mega-cap compounders:
$AMZN — roughly 11.5M shares
$UBER — roughly 30M shares
$MSFT — roughly 5.65M shares
$META — roughly 2.7M shares
This is not random.
Amazon gives him cloud, ads, logistics, and AI.
Uber gives him mobility, delivery, and autonomous upside.
Microsoft gives him enterprise software, Azure, and AI distribution.
Meta gives him AI ads, social data, and massive user attention.
Ackman is not chasing penny stocks.
He is betting big on platforms that already control distribution, data, and cash flow.
The lesson:
Sometimes the biggest opportunities are not hidden in tiny stocks.
They are hiding in great businesses the market temporarily underestimates.
Save this list.
If I were trying to reach financial freedom before 2030, I’d be studying the companies powering the next decade before the crowd fully catches on.
My watchlist this month:
$MU
$SNDK
$INTC
$AMAT
$ALAB
$MRVL
$BE
$FCEL
$ABSI
$HIMS
Not every name fits the same bucket.
But they all connect to one bigger theme:
the infrastructure behind AI, healthcare, and the next computing cycle.
If I were building a diversified 2030 watchlist, I wouldn’t only study AI stocks.
I’d also study companies powering real-world demand:
$BCS — Barclays / global banking
$SGHC — Super Group / online betting & iGaming
$VLY — Valley National Bancorp / regional banking
$JNJ — Johnson & Johnson / healthcare & MedTech
$DAL — Delta Air Lines / travel demand
$DOC — Healthpeak / healthcare real estate
$ABBV — AbbVie / biopharma
The next cycle may be bigger than AI.
Banks. Healthcare. Travel. Real estate. Consumer demand.
If I were building an AI mega-cap watchlist for the next market cycle, these are the names I’d be studying:
$NVDA — AI compute
$AVGO — custom AI chips + networking
$MSFT — cloud + Copilot
$GOOGL — cloud + Gemini + TPUs
$META — AI ads + infrastructure
$AAPL — devices + ecosystem
$TSLA — autonomy + robotics
The next AI winners may not all look the same.
Some own the chips.
Some own the cloud.
Some own the users.
That is the real AI stack.
Most investors will not build a 7-figure retirement portfolio by chasing every green candle.
They will do it by studying the companies building the next decade.
My watchlist:
$TEAM — AI collaboration
$NVDA — AI infrastructure
$NU — digital banking
$META — social data + AI compute
$APP — AI advertising engine
$PLMR — specialty insurance
I’m studying the setups that can actually compound over time.
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Most investors are still chasing yesterday’s AI winners.
I’m studying the next layer.
My 7-figure retirement watchlist:
$OUST — lidar + physical AI
$NOW — enterprise AI workflows
$OSS — edge computing hardware
$HOOD — retail investing + crypto
$PATH — automation software
$NBIS — AI cloud infrastructure
$RKLB — space infrastructure
$PLTR — government + enterprise AI
Not every name will win.
But the next decade may reward investors who understand the infrastructure behind AI before the crowd fully wakes up.
Like + follow for the next list.
Tonight brought one piece of good news and one piece of bad news.
The bad news: Meta is preparing to sell its excess compute capacity, which spooked AI tech stocks and sent them sharply lower at one point.
The good news: the new Fed Chair said one line that helped pull U.S. stocks back from the lows.
Most people think a 7-figure retirement portfolio comes from finding one miracle stock.
I think it comes from owning the platforms that already control the economy.
My watchlist:
$AMZN — cloud + commerce + ads
$UBER — mobility + delivery network
$NFLX — streaming + ads
$SPOT — audio platform
$COST — membership retail machine
$META — social + AI ads
$GOOGL — search + cloud + AI
$WMT — retail + e-commerce scale
The next decade will be built on distribution, data, AI, subscriptions, and consumer behavior.
I’m not chasing every green candle.I’m studying the platforms that can keep printing cash.
Like + follow for the next watchlist.
If I were trying to reach financial freedom before 2030, I’d be studying the companies building the space economy before the crowd fully catches on.
My space watchlist this month:
$RKLB — Rocket Lab
$MDA — MDA Space
$ASTS — AST SpaceMobile
$RDW — Redwire
$PL — Planet Labs
Space is not just science fiction anymore.
It is becoming an investable infrastructure cycle.
Most investors are still chasing the obvious AI names.I’m watching the layer underneath them.
If I wanted to build a 7-figure retirement portfolio, these are the stocks I’d study before the crowd fully wakes up:
$INTC — foundry comeback
$AMAT — chip equipment
$AVGO — custom AI silicon
$MRVL — AI interconnect
$CRDO — high-speed connectivity
$ANET — AI networking
$ALAB — data center connectivity
AI does not scale with GPUs alone. It needs fabs, tools, custom chips, switches, cables, retimers, and interconnect.
That is where the next wave may be hiding.
I’m studying the infrastructure behind the hype.
Michael Burry is shorting the AI boom.The man who called the 2008 crash just disclosed bearish bets against:
$CAT
$TSLA
$AMAT
$NVDA
$SOXX
That is a very clear message.He is not just shorting one stock.
He is shorting the entire AI infrastructure narrative:
Burry has been early before.Sometimes painfully early.
But when he goes after the hottest trade on Wall Street, the market should not ignore it.
The AI rally may not be dead.But the risk just got louder.
If I wanted to build a 7-figure retirement portfolio, I’d start studying and buying these names before everyone fully catches on.
$RDDT — watching near $163 | upside target: $235
$PLTR — watching near $110 | upside target: $160
$SHOP — watching near $114 | upside target: $165
$NET — watching near $232 | upside target: $270
$CVLT — watching near $135| upside target: $180
Not every name will win.But one major re-rating in the right cycle can change the entire portfolio.
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If I wanted to build a 7-figure retirement portfolio, I’d start studying and buying these names before everyone fully catches on.
$BB — watching near $10.50 | upside target: $14
$HOOD — watching near $95 | upside target: $125
$PLTR — watching near $90 | upside target: $160
$CCL — watching near $24 | upside target: $36
$LLY — watching near $1170| upside target: $1400
Not every name will win.But one major re-rating in the right cycle can change the entire portfolio.
Like + follow if you want this list updated regularly.
If I wanted to build a 7-figure retirement portfolio, I’d start studying and buying these names before everyone fully catches on.
$CAT — watching near $1030 | upside target: $1300
$CSX — watching near $46 | upside target: $60
$AMAT — watching near $620 | upside target: $800
$KLAC — watching near $240 | upside target: $300
$PNW — watching near $105| upside target: $140
Not every name will win.But one major re-rating in the right cycle can change the entire portfolio.
Like + follow if you want this list updated regularly.