- Is the purest exposure, without the messy financials of SKC Absolics, as the next advanced packaging shift for glass substrates.
Almost every single major semi company from
, where if there's more foundry capex, ASML scales up. But if there's downturns, these tend to perform poorly, and don't capture all the volume ramp that happens after.
However, if the MC is $650m and they're making $100-200M, revenue per costumer volume ramped, the amount they make from the glass substrate cycle will likely exceed current valuations.
And they'll have baseline fundamentals (as more companies adopt the packaging shift), that keeps their valuation up.
It's just a waiting game for volume ramp at this point.
3.
but for America + Photonics. It's like saying Intel is not a long term investment.
Guess where all your optical transcivers are made?
China. Thailand. Malaysia. If you look at Innolight, Eoptolink,
, and others.
AOI is building the largest Made in America supply chains for both CW laser fab, as well as 800g, 1.6T assembly.
Yes, there are pluggable cycle ups and downs to this as well. There's going to be a wave for 1.6T next year, then CPO cannibalizes pluggables down the road.
But since they make the entire supply chain in house, they have extreme optionality for other segments. And like
older gen-GPUs, there's going to be sovereign DC requirements for older gen pluggables from names like
$AAOI.
It's likely going to keep rising as it hits that $400m+/month revenue target H2 2026.
There's just a lot of different short term volatility along the way like the $600m dilution.
4.
The world is currently bottlenecked both on the epiwafer level from Landmark comments and InP substrate levels.
Their financials were track but the raw book value, and value they hold to the entire Western supply chain... completely justifies their valuation. And other optical companies will not let their core upstream supply chain go under.
As these tens of millions worth of materials would screw up tens of billions worth of downstream products.
Again photonics is the next generation architecture required to scale AI. It's not Quantum where it's just "In development".
It's literally here and the architecture of choice by
$NVDA.
I would not be surprised if all of these are a lot higher in 3-4 years time.
People who think it's one and done in 3 months time "only because I mentioned it" don't know what they're talking about.
Institutions would have bought up the name eventually (like Point 72 on
) and retail would only find out after their valuations are 600% higher.
Should really do the research before adding comments like these:
These are all forward growth companies that require in-depth supply chain knowledge.
$MU.$SNDK.$AMD.
All ran hard. None of them are done.
Here’s why -
$MU @ $746 | Forward PE: 7.5x
→ 100%+ EPS growth projected in FY2026
→ Only US-based advanced memory manufacturer
→ Sold out through 2026
→ HBM TAM: $35B → $100B by 2028
→ Trading at less than HALF its historical forward PE average
The run looks big. The earnings growth is bigger.
$SNDK @ $1,562 | Forward PE: ~23x
→ Q3 revenue +251% YoY to $5.95B
→ Gross margins exploded from 22% → 78%
→ $42B in long-term AI customer contracts signed
→ NAND supply expected to stay tight through 2028
→ Susquehanna target: $2,000 | Bernstein: $1,700
The stock is up 400%+ YTD and analysts are still raising targets.
$AMD @ $455 | Forward PE: ~25x
→ Q1 FY2026 Data Center revenue: $5.77B (+57% YoY)
→ Q2 guidance: $11.2B — crushed the $10.5B consensus
→ Meta 6GW GPU deal. OpenAI. Oracle 50K GPU cluster.
→ Bernstein target: $525 | Barclays & Cantor: $500
→ $14+ EPS projected for 2027. $20 EPS “plausible” for 2028
Still only 6% market share in a $1.5T AI accelerator market by 2030.
The AI buildout isn’t slowing.
Memory is tight. GPU demand is accelerating. Agentic AI is just getting started. These aren’t momentum trades anymore — they’re infrastructure plays.
Not financial advice.
The AI Infrastructure Bottleneck
AI demand isn’t slowing. It’s colliding with reality. Power costs are rising. Communities are pushing back. Permits are getting harder. Project cancellations are climbing. This isn’t weak AI demand. This is infrastructure hitting its ceiling. Compute scaled in 18 months what normally takes a decade.
Data centers went from background infrastructure to the most power-hungry real estate on earth — almost overnight. Utilities weren’t ready. Grids weren’t ready. Permitting systems built for a slower world weren’t ready.
So now you have the most capital-rich companies in history competing for a fixed, constrained resource: Megawatts.
That collision created a new capital cycle:
AI → Energy → Infrastructure
The market hasn’t fully priced the downstream implications yet. When datacenter capacity gets delayed or cancelled, the reflex is to ask:
“Is AI demand softening?”
Wrong question.
The right question is: “Who benefits when supply tightens?”
Less derisked capacity doesn’t reduce demand. It concentrates it.
And concentrated demand is a pricing event.
When power supply tightens:
→ Frontier labs fight for compute at premium pricing
→ Hyperscalers delay expansion timelines, reshuffling capex
→ Chip, memory, ASIC, and CPU ecosystems feel the ripple — not because demand died, but because deployment slowed
→ Whoever controls reliable, permitted, grid-connected power becomes the most valuable asset in the AI stack
This is the Silicon-to-Substation Shift.
Just like bandwidth defined the internet era — whoever controlled the pipes controlled the economy — reliable power generation is becoming the defining constraint of the AI economy.
The bottleneck has moved up the stack. The market always chases the obvious trade first. $NVDA.$AMD. Memory. Networking. The picks and shovels everyone already knows.
But when the bottleneck shifts — the alpha moves too. Right now, the bottleneck isn’t silicon.
It’s megawatts, transformers, transmission lines, and building permits.
The second-order trade is where the real opportunity lives — across five infrastructure layers most investors haven’t rotated into yet:
Power Generation
Nuclear is back. Natural gas is back. Utilities signing 20-year offtake agreements with hyperscalers.
The cleanest, most reliable, 24/7 baseload power is suddenly the scarcest commodity in tech.
$VST → baseload + nuclear, direct hyperscaler relationships
$CEG → largest nuclear operator in the US, massive AI offtake pipeline
$SMR / $OKLO → next-gen modular nuclear, secular long-term positioning
Grid Infrastructure
Transformers. Substations. Transmission lines.
The hardware between the power plant and the server rack is now a national bottleneck — with multi-year lead times.
$PWR → grid construction & transmission at scale
$ETN → electrical components backbone, transformer exposure, margin expansion
Energy Storage
Intermittent renewables can’t power AI campuses alone.
Grid-scale battery storage and microgrid systems bridge the gap — especially as utilities demand more dispatchable flexibility before approving new load connections.
$FLNC → utility-scale storage, growing backlog, grid stabilization play
Cooling Infrastructure
A 100MW AI cluster generates extraordinary heat density.
Air cooling is dead at scale. Liquid cooling, immersion systems, and thermal management are now standard spec in every new hyperscale build — one of the most underappreciated sub-themes in the entire stack.
Datacenter Construction & Power Systems
Before a single GPU goes online — somebody pours the concrete, runs the conduit, installs the switchgear, and commissions the facility.
Construction and power systems backlogs are extending years out.
$STRL → datacenter construction, revenue inflecting hard
$BW → industrial power systems, 1.2GW AI datacenter deployment
The thesis is simple:
AI isn’t running out of demand.
It’s running into megawatts.
Not financial advice.
I've said this before, and ill continue to say it...
$AMD will be the next trillion dollar AI mega cap stock very soon.
With 35%+ CAGR till 2030 there is no reason not to own $AMD.
2024 was for $PLTR
2025 was for $NVDA
& 2026 is the year for $AMD$AMD will be $500+ soon...
Most investors are always chasing the last wave.
The AI infrastructure cycle is playing out in layers — and each one is bigger than the last.
Here’s the full roadmap:
Wave 1: Semiconductors ✅ (Priced In)
$NVDA.$AMD.$AVGO.
The GPU arms race. Everyone knows this trade.
Raw compute was the foundation.
Most of the upside? Already captured.
Wave 2: Memory & Storage ✅ (Confirming)
More data. More inference. More throughput.
Flash, DRAM, HBM all followed.
$SNDK ’s recent move is the latest confirmation.
The storage bottleneck is real — and the market is finally catching up.
Wave 3: Photonics & Optical Networking 👀 (In Motion NOW)
This is what most retail investors are still sleeping on. You cannot move AI workloads at scale with copper wire.
Data centers need ultra-fast, low-latency interconnects — and photonics is the only answer.
Silicon photonics is actively replacing copper-based communication inside and between hyperscaler campuses.
The plays institutions are quietly accumulating:
$AAOI — pure-play optical components, deep data center exposure
$COHR — vertically integrated photonics at scale
$LITE — transceivers powering the hyperscaler build-out
$POET — integrated optical engines, early-stage, asymmetric upside
$CIEN — backbone optical networking infrastructure
$FN — precision optical manufacturing, best-in-class margins
This wave is not coming. It is here.
Wave 4: Power & Energy Infrastructure (Early Stage)
AI doesn’t run on ambition. It runs on electricity. Data centers are projected to consume 8–10% of U.S. power by 2030. That is not a tailwind.
That is a structural demand shock the grid is not prepared for.
Nuclear is the only baseload solution that can sit next to a hyperscaler campus and deliver consistent, carbon-light power at scale.
The plays:
$CEG & $VST — utilities with nuclear-powered AI offtake contracts
$CCJ — uranium supply, the fuel behind the revival
$OKLO & $SMR — next-gen small modular reactors
$VRT — liquid cooling and power management inside data centers
The capex commitments from $MSFT, $AMZN , and $GOOG are already locked in. The power infrastructure just needs to catch up. This wave is early. That is the opportunity.
Wave 5: Robotics 🤖 (Loading…)
Once AI is trained, powered, and connected — it needs a body.
Physical deployment into warehouses, factories, logistics, and healthcare.
This is the final and potentially the largest layer of the entire cycle.
Hardware-software integration is still 12–24 months from full ignition.
But the smart money is already laying the groundwork quietly.
The pattern is simple:
Each layer enables the one after it.
→ Semis built the brain
→ Memory gave it recall
→ Photonics gave it nerves
→ Power gives it fuel
→ Robotics gives it hands
The investors winning this decade are not chasing yesterday’s leader.
They are identifying tomorrow’s bottleneck — and positioning before the crowd arrives.
The question is not which wave already ran.
The question is: which wave are YOU in front of?
$AAOI$COHR$LITE$POET$CIEN$FN$CEG$VST$OKLO$SMR$CCJ$VRT
DOYR , bookmark this and retweet for others.
$AMD shares spike 14%+ in pre market after announcing a deal with $META to sell them up to $100B worth of AI chips.
This deal secures up to 6 gigawatts of capacity, & potentially a 10% stake in $AMD.
Additionally $META will get a warrant for up to 160M $AMD shares.
Huge news… https://t.co/BVxKGM4FF3
Tracking unusual option purchases has made many generational wealth overnight on $AMD.
On 10/1/25 I tracked and caught this unusual flow and predicted an incoming 20/30% spike.
3 trading sessions later and $AMD spiked over 30%+ and made a new All Time High.
Many more to come! https://t.co/BG5GMwSv3R
If you missed the massive rally $TSLA had then your next AI tech opportunity is here and it is $AMD.
Begin to curl and finishing a bullish wedge formation $AMD is bound to squeeze soon.
$AMD is simply one announcement away from a 20%+ spike.
$250+ is incoming.
Mark my words… https://t.co/25sHQN3PAX
If you missed the 30%+ spike on $ORCL then your next opportunity is here and it is $AMD.
It’s been made clear $ORCL AI inference runs purely on $AMD.$AMD is just one announcement away from a 20/30% spike and it is incoming soon.
$250+ is incoming this year.
Mark my words… https://t.co/uBaSsJZxNy
$AMD is breaking out and is on pace for its largest breakout in its history.
Since my bottom call at $76 in April we are now up nearly 110%+ on $AMD.
This breakout is just beginning and we are targeting $200/$300 by EOY.
Generational wealth on $AMD to be made.
Don’t miss it… https://t.co/7ZhSqt5Xw9
$AMD has awoken and is positioned for its largest breakout in its history…
Since calling the bottom at $76 in April we are now up nearly 100%+ on $AMD.
This breakout is targeting for $200/300 by the end of this year.
Very soon $AMD will be chased.
Don’t miss it… https://t.co/T4x58nMlYz
