Where is Nvidia's Money Spreading? 5 Downstream Plays, Are You In?
$NVIDIA(NVDA)$earnings are in the rearview. Where does the AI capital cycle flow next? The diffusion map is clear — money is rotating down the stack across 5 stages. The alpha window is different at each one.
Stage 1: GPU & CPU
$NVIDIA(NVDA)$ + $Advanced Micro Devices(AMD)$. Where the AI wave started, where capital concentrated first. Valuations are high. Most retail investors entered late here.
Stage 2: Memory (actively running — highest alpha right now)
HBM demand surge, severe supply-demand imbalance, price and volume both rising. Per Trumoo: Anthropic's compute demand is growing 5x faster than storage capacity — storage is essentially locked in as the bottleneck. China's CXMT and YMTC are low-end capacity only; high-end HBM requires ASML EUV tools that can't be imported freely. That gap won't close. The three memory giants (Micron, SK Hynix, Samsung) have at least a year of stable runway ahead.
Stage 3: Optical Networking (just starting)
$COHERENT(COHR)$, $Semtech(SMTC)$ $POET Technologies Inc(POET)$ Data volume exploding, bandwidth demand surging, optical modules entering volume shipment phase. Bottleneck is visible but the ramp is early-stage.
Stage 4: Data Centers (spreading)
$Digital Realty Trust Inc(DLR)$. The physical home of AI compute — leasing demand strong, long-term visibility high. Less of a high-alpha play now, more of a stable core position.
Stage 5: Power / Energy (the next stop)
$Vistra Energy Corp.(VST)$, $Constellation Energy Corp(CEG)$. Power gap is widening. At the end of the AI compute chain, there's just electricity demand. Long-term certainty is high. The window hasn't opened yet — but the direction is clear.
Where are you in the stack?
$MU$ as the most underappreciated bottleneck — do you buy the "locked-in supply gap" thesis, or is the memory cycle ceiling close enough to worry about?
Anthropic compute 5x storage growth — is $MU$'s alpha window still wide open? Does optical get the next rotation?
Do you position now ahead of the power crunch, or wait until AI data center power demand becomes undeniable?
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I also believe optical networking could be the next rotation. As AI workloads explode, bandwidth demand will surge, making companies like $COHERENT(COHR)$ and $POET Technologies Inc(POET)$ increasingly interesting. AI is no longer just about chips — it’s about the entire infrastructure stack.
For power, I think the trend is inevitable but slightly later-stage for me. Companies like $Vistra Energy Corp.(VST)$ and $Constellation Energy Corp(CEG)$ could benefit massively once AI-driven electricity demand becomes undeniable.
@Tiger_SG @TigerStars @Tiger_comments @TigerClub
Why?
Micron has triggered a high margin supply constraint across the entire global tech grid. This is because an AI chip requires 3 times the wafer footprint of a standard phone or PC chip.
With capacity 100% spoken for through 2026 and 2027 orders locked in, Micron's 7.7x Forward P/E ratio means that investors are essentially buying an enterprise monopoly at a deep discount.
@Tiger_comments @TigerStars @Tiger_SG
$MU’s alpha window still looks open because AI servers need more HBM, DRAM, and high-performance storage, while 2026 HBM supply is reportedly sold out and pricing remains tight. That supports the “locked-in” thesis.
But after the huge rally and trillion-dollar narrative, the easy re-rating may already be partly priced. The risk is not demand collapse, but cycle ceiling + expectation risk: if Samsung/SK Hynix add supply faster, or hyperscalers slow capex, MU can derate sharply.
Optical likely gets the next rotation, especially CPO/800G/1.6T networking names, because compute clusters need faster, lower-power interconnects. Power is the deeper bottleneck: if electricity becomes the constraint, investors may rotate into power, cooling, grid, and optical efficiency plays.
My stance: position in tranches, not chase full size. MU remains structurally bullish, but after a vertical move, I would keep dry powder for pullbacks.
Right now the stack feels like:
Compute
Memory
Networking/optical
Power
$MU still has room if the supply lock-in thesis holds, but I think optical and power infra are the next major rotations once AI scaling hits physical limits instead of compute limits.
2. $Micron Technology(MU)$ is highlight valued due to the shortage of supply of memory this year which is forecast to continue to next year prior to resumption of manufacturing
3. $Micron Technology(MU)$ provides both memory and storage and profits from the decision by antropic to increase storage. Optical is networking which competes with other providers
4. Power is in short supply and is a necessary component for high technology and is investible