The Investment Log

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[The Investment Log @TheInvestLog]

My current bottleneck basket:

Best overall: $SPCX $RKLB $MDA $KTOS $RDW
Best scaled operator: $SPCX
Best ground + space combo: $RKLB
Best true maintenance / robotics play: $MDA
Best ground bottleneck play: $KTOS

I don’t think every space stock should be treated as a SpaceX proxy anymore.

The better question now is:

Which companies become more necessary every time launch gets cheaper?

[The Investment Log @TheInvestLog]

🚀 Space Economy Bottlenecks:
The next bottleneck may not be getting to orbit.
The space economy may be moving from the launch era to the operations era.

Orbital Infrastructure & Services:
$SPCX $RKLB $MDA $RDW $LUNR $VOYG

Space Components:
$DCO $ATRO $TDY $HXL $AME $HON $APH $PH $KULR $KRMN

Ground Infrastructure & Mission Service
$KTOS $MDA $LHX $RTX $VSAT $IRDM

Launch Services $SPCX $RKLB $FLY

Satellite Communications
$SPCX $ASTS $IRDM $VSAT $TSAT $GSAT $SATS

Earth Observation & Imaging
$PL $BKSY $SPIR $SATL

Space Tourism
$SPCE

[The Investment Log @TheInvestLog]

The key idea:
When launch becomes cheaper and more frequent, the support layer gets more valuable.
More satellites in orbit means more need for operations, ground control, servicing, robotics, components, telemetry, antennas, debris monitoring, and resilient infrastructure.

This is the abundance paradox:
When launch becomes abundant, infrastructure becomes scarce.

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https://t.co/jskclJrBWn

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https://t.co/GbrMNxXL2z

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Space Stack:

Launch Services Providers
$RKLB
$FLY

Space Infrastructure & Services
$LUNR
$RDW
$VOYG
$SIDU
$MNTS
$YSS
$MDA

Satellite Communications
$IRDM
$VSAT
$TSAT
$GSAT
$SATS
$ASTS

Earth Observation & Imaging
$SATL
$SPIR
$BKSY
$PL
$GSAT

Aerospace & Defense Companies
$AIR
$LHX
$LMT
$BA
$NOC
$VOYG
$RTX
$KTOS

Primary Space & Defense Specialists
$TDY
$HEI
$TDG
$HXL
$KRMN

Industrial / Precision Enablers
$HON
$PH
$APH
$AME
$KULR
$RBC
$APTV
$ATRO

[The Investment Log @TheInvestLog]

$RDW > Flight-proven space hardware manufacturing heritage
$FJET > Spaceflight training and aircraft infrastructure
$IRDM Operating global satellite communications network
$PL > Daily Earth-imaging data archive scale
$SIDU > Low-cost smallsat manufacturing platform optionality
$MDA > Space robotics and satellite heritage
$OSS > Rugged edge compute for defense
$LUNR > NASA lunar services contract pipeline
$BKSY > Defense ISR analytics contract base
$RKLB > Launch-to-spacecraft vertical integration stack moat
$FLY > Launch vehicle portfolio growth optionality
$MNTS > Orbital transfer vehicle turnaround optionality
$VELO > Aerospace metal-printing process qualification moat
$ASTS > Direct-to-cell satellite network spectrum rights
$YSS > Rapid satellite bus production capacity
$AIRO > Aerospace robotics eVTOL defense rollup

[The Investment Log @TheInvestLog]

Metal 3D Printing: The Hidden Manufacturing Layer Behind Space Economy

$RKLB > $VELO > $DDD > $NNDM

$RKLB: Rocket Lab is not selling the dream of additive manufacturing, it is already using it where it counts: in engines, launch systems, and defense hardware.

$VELO : Velo3D is the pure-play torque in the trade: real aerospace relevance, real technical edge, and real execution risk.

$DDD: 3D Systems is the grown-up name in the room, broader, steadier, and less directly tied to space upside.

$NNDM: Nano Dimension may still matter in additive manufacturing, but as a space bottleneck stock, the story is still too messy to lead the group.

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Nuclear Reactor Stocks
$OKLO
$SMR
$NNE
$XE
$IMSR
$NKLR
$NUCL

$XE /strongest AI energy bottleneck fit/
I think $XE is the cleanest serious bottleneck name here. Amazon backing X-energy makes this feel like more than just a nuclear trade, it looks like a real hyperscaler-linked energy infrastructure story. The Xe-100 platform fits exactly what AI data centers are going to need: firm, carbon-free power.

$OKLO /strongest AI-nuclear market narrative/
$OKLO also fits the AI power bottleneck really well. It has some of the clearest data-center relevance in the group, which is why I keep it near the top. I just rank it slightly behind $XE because the market already seems to treat it as the obvious AI-nuclear leader.

$SMR /most validated SMR technology ticker/
$SMR fills the same bottleneck through NuScale’s SMR platform. It is still one of the most recognizable and validated SMR names, but the AI angle feels more like future project deployment than a direct hyperscaler-backed story like $XE.

$NNE /high-torque distributed power option/
$NNE is interesting if AI power demand ends up moving toward smaller, distributed, site-specific nuclear systems. That could matter for remote data centers, defense sites, or places where grid access is a constraint. Still, it is more speculative and less proven than $XE, $OKLO, or $SMR.

$IMSR /long-term industrial energy bottleneck/
$IMSR looks more like a longer-duration advanced nuclear bet to me. The molten-salt angle is interesting for industrial energy and firm clean power, but I do not really see it as a near-term AI data-center solution.

$NKLR /possible microreactor story, but needs proof/
$NKLR has the right kind of microreactor concept on paper, so I can see the fit. The problem is that it still needs more proof on commercial milestones, customers, licensing progress, and deployment timing. For now, I see it more as a nuclear momentum name than a true AI-energy bottleneck name.

$NUCL /weakest direct AI power fit/
$NUCL belongs in the broader nuclear theme, but I do not think it is one of the cleanest direct AI power plays. To me, it fits better as a broader nuclear, fuel-cycle, or speculative name than as a real data-center bottleneck stock.

My ranking:
$XE > $OKLO > $SMR > $NNE > $IMSR > $NKLR > $NUCL

The simple version: I think $XE has the strongest serious deployment angle, $OKLO has the strongest AI-nuclear narrative, and $SMR has the most recognized SMR technology angle. After that, the rest feel like more speculative ways to play the same AI power bottleneck them

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I’m watching four IPOs this week:
$INIO, $AADX, $QNT, and $SSMR.

The one that stands out most from a real business + bottleneck angle is $INIO. This is a distributed power company, and the reason it caught my attention is simple: AI data centers do not scale without power. Unlike a lot of AI-adjacent names, this one already has meaningful revenue and profitability. The catch is valuation. At roughly a $19B market cap on about $2.6B–$2.8B revenue, the market is already giving it a serious premium. So for me, this is more of a “watch how it trades after IPO” name than a blind chase.

$AADX is probably the most interesting from a physical bottleneck perspective. It sits in aerospace, defense, launch systems, and mission-critical manufacturing. That fits the kind of supply-chain bottleneck I like to track: real hardware, real constraints, not just a future software narrative. The things I’d watch closely are debt, profitability, and customer concentration.

$QNT is the obvious hype name. Quantum is hot, Honeywell backing gives it credibility, and the ticker will probably get attention. But the valuation is aggressive. Around $12B market cap on about $31M revenue means this is not a cheap stock; it is priced for a very big future. It could be a strong momentum name, but I’d separate the hype trade from the long-term business case.

$SSMR has the silver, antimony, and critical-minerals angle, which is interesting. But right now, it looks more like a mine restart story than an operating-company story. That does not mean it cannot move, especially if silver or antimony gets hot, but the risk profile is very different from something with established revenue and earnings.

My personal watchlist framing:

Most real business angle: $INIO
Most physical bottleneck angle: $AADX
Most hype/momentum angle: $QNT
Most speculative commodity angle: $SSMR

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The YTD winners are exposing the hidden map of the AI buildout.

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The best-performing stocks this year are not random. They cluster around the physical choke points behind AI.

Memory wall — $SNDK, $MU, $WDC
Silicon manufacturing constraints — $AXTI, $AEHR, $INTC
Power conversion and compute architecture — $NVTS, $ARM
Bandwidth / optical layer — $AAOI, $VIAV
AI compute rental / delivery layer — $NBIS, $DOCN, $DELL

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Military & Defense Drones
$ONDS, $AVEX, $KTOS, $RCAT, $AVAV, $AIRO, $UMAC, $PRZO, $UAVS

Drone / Robotics Software
$PDYN, $SWMR

LiDAR / Laser 3D Perception
$OUST, $AEVA, $INVZ, $CPTN, $HSAI

eVTOL / Advanced Air Mobility
$ACHR, $JOBY

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https://t.co/8Lo0Twf9v8

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https://t.co/JR1Ghh6jqE

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High energy density batteries
$AMPX Watchlist $ENVX

Low-SWaP EO/IR sensors
$TDY
$LHX
$ESLT
$RTX
$MRCY

Edge AI compute + swarm autonomy
$MRCY
$NVDA
$AMD
$MRVL
$AVAV
$KTOS
$RCAT

Lidar / laser 3D perception
$OUST
$AEVA
$INVZ
$CPTN
$HSAI

Lightweight propulsion motors
$UMAC
$AVAV
$KTOS
$TXT
$ESLT

[The Investment Log @TheInvestLog]

@Richard_X_Roe Fair point. I should separate proven drone suppliers from battery-tech optionality. $AMPX is the cleaner drone-battery bottleneck name; $ENVX is more of a watchlist name, not proven drone revenue yet.

[The Investment Log @TheInvestLog]

The Real Bottlenecks (and Winners) in the Drone Boom

High energy density batteries $AMPX, $ENVX

Low-SWaP EO/IR sensors $TDY, $LHX, $ESLT, $RTX, $MRCY

Edge AI compute + swarm autonomy $MRCY, $NVDA, $AMD, $MRVL, $AVAV, $KTOS, $RCAT

Lidar / laser 3D perception $OUST, $AEVA, $INVZ, $CPTN, $HSAI

Lightweight propulsion motors $UMAC, $AVAV, $KTOS, $TXT, $ESLT

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Full article 👇👇👇👇👇https://t.co/8Lo0Twf9v8

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https://t.co/JR1Ghh6jqE

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https://t.co/JR1Ghh6jqE

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@mahekparmarr I am waiting for a pull back, it might never happen.

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GPUs make AI possible. Power keeps AI alive. But the last mile decides whether AI actually reaches the user.

$HLIT, $CALX, $CLFD, $ADTN, and $DY

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Article 👇

https://t.co/ICs2hZ7Apo

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https://t.co/DqpCtXX5lp