r/BottleneckInvesting

I’ve been trying to look at the AI trade from a slightly different angle.

A lot of the obvious AI infrastructure winners have already had huge moves. Optical networking, data center construction, cooling, and power equipment have all been bid up hard. So instead of asking “what is the next AI stock,” I wanted to ask a more boring question:

Which AI-linked sector has lagged the broader AI/growth trade over the last two years?

This is not meant to be a “best stocks to buy” list. It is just a relative-performance screen to find areas worth doing more research on.

How I built the baskets

I grouped public AI-linked companies into sector baskets: AI power supply, power distribution, compute, semiconductors, cooling, networking, data center construction, materials, critical minerals, defense AI, healthcare AI, etc.

The ticker selection was thesis-first. I tried to include companies where revenue could plausibly benefit from AI infrastructure capex or AI adoption, not just companies that mention “AI” in a press release.

For example, the AI Power Supply basket included names like:

SMR, NNE, FCEL, PLUG, NPWR, ORA, FLNC, EOSE, GWH

I excluded the obvious mega-cap AI winners because I was specifically trying to find parts of the value chain that may not have fully run yet.

How I calculated it

I pulled adjusted price data from 2024-04-29 to 2026-04-28 and calculated each ticker’s 2-year return. Then I compared every ticker against QQQ, since QQQ is a reasonable proxy for the AI/growth trade.

Over that same period, QQQ returned about +53.6%.

For each sector, I used the median return, not the average. I did that because one monster stock running 500–1000% can make an entire sector look hot, even if most of the basket did not participate.

Then I calculated:

Sector normalized return = sector median 2-year return minus QQQ 2-year return

Main results

| Rank | Sector | Vs QQQ |

|---:|---|---:|

| 1 | Health AI | -103.5% |

| 2 | Defense AI | -86.1% |

| 3 | AI Power | -27.4% |

| 4 | Industrial AI | +5.2% |

| 5 | Semi/HW | +14.8% |

| 6 | Compute | +18.7% |

| 7 | Power Dist. | +40.3% |

| 8 | Telecom | +48.9% |

| 9 | Minerals | +62.7% |

| 10 | Components | +84.7% |

| 11 | Materials. | +96.7% |

| 12 | Auto AI | +127.4% |

| 13 | Cooling | +139.0% |

| 14 | DC Buildout. | +273.6% |

| 15 | Networking | +568.0% |

The part that stood out to me:

Healthcare AI and Defense AI were the most underperforming baskets overall, but they are more AI application sectors than core AI infrastructure sectors.

For core AI infrastructure, the cleanest laggard was:

AI Power Supply

That basket had a median 2-year return of about +26%, while QQQ was up +54%. More than half the names in that basket were still below QQQ.

Meanwhile, networking, data center construction, and cooling have already had massive moves. That does not mean they cannot keep going, but the market has clearly already found those bottlenecks.

My takeaway

The AI trade has already aggressively repriced the obvious infrastructure bottlenecks: networking, cooling, and data center buildout.

But the power side still looks relatively under-ran on a 2-year normalized basis.

Curious if anyone else is looking at the AI power bottleneck the same way, or if there are better ways to build the basket.

Everyone is buying reactor stocks. Nobody is buying the fuel.

Been deep in the nuclear supply chain for the past few weeks. Not the reactor names. The stuff upstream that nobody talks about.

Here is what I found.

| Node | Key Tickers

| HALEU Enrichment | LEU, ASPI, LTBR

| TRISO Fuel Manufacturing | BWXT, XE

| Domestic Uranium Processing | UUUU

| Uranium Supply at Scale | CCJ, UEC, URG, EU, NXE

| Advanced Reactor Platform | XE, OKLO, SMR, IMSR

HALEU Enrichment

Every advanced reactor on the drawing board needs HALEU. High-Assay Low-Enriched Uranium. Enriched to between 5% and 20% U-235. Standard light water reactors run on fuel enriched to around 5%. Every SMR, every high-temperature gas reactor, every advanced design currently being funded, licensed, or hyped on this platform needs HALEU to run.

The DOE has said publicly that HALEU is not currently available from domestic suppliers at commercial scale.

Let that sit for a second.

The reactors everyone is buying cannot run without fuel that does not commercially exist yet in the United States.

The U.S. response has been the HALEU Availability Program. The DOE contracted with Centrus Energy to run a demonstration cascade at Piketon, Ohio. As of mid-2025, that facility has produced around 920 kg of HALEU total. The contract supports up to 900 kg per year.

A single commercial advanced reactor at full operation will need multiples of that annually.

The TRISO problem

HALEU is only half of it. Most advanced reactor designs do not just need HALEU in standard form. They need TRISO fuel. Each particle is a uranium kernel wrapped in ceramic coating layers that contain fission products under extreme heat. It is what X-Energy's Xe-100 runs on. It is what most high-temperature gas-cooled reactors are designed around.

BWX Technologies is the only U.S. company that has manufactured irradiation-tested TRISO fuel using production-scale equipment.

In February 2026, X-Energy's TRISO-X subsidiary became the first company in about 50 years to receive a new NRC fuel fabrication license. The application was filed in 2022. It took four years to approve. Their facility in Oak Ridge is still under construction. Fuel production is not expected until early 2028.

So we have a situation where the fuel the reactors need does not exist at commercial scale, the only facility that can make it will not be producing until 2028 at the earliest, and the reactor names are trading like the buildout is already happening.

The domestic uranium situation

U.S. reactor operators bought 55.9 million pounds of uranium in 2024. Domestic origin was 8% of that. The other 92% came from Canada, Kazakhstan, Australia, Uzbekistan, and others.

Energy Fuels runs White Mesa Mill in Utah, the only fully licensed and operating conventional uranium mill in the United States. It has processed roughly two thirds of all domestically produced uranium since 2017. Not because it is special. Because there is nothing else.

The three names I think matter most

$LEU — Centrus Energy. The only licensed HALEU producer operating right now. If the advanced reactor buildout happens, every reactor needs what Centrus can supply. The DOE just handed them $900 million to scale up. This is not a speculative bet on a technology. It is ownership of a physical constraint.

$ASPI — ASP Isotopes. Developing alternative enrichment technology that could, if the science validates, break the enrichment monopoly entirely. The company itself says its uranium enrichment technologies cannot be tested on uranium until regulatory approvals are obtained. High upside, low proof. You are betting on the disruption of the bottleneck from the supply side.

$LTBR — Lightbridge. Designing a metallic alloy fuel rod for existing light water reactors. No HALEU required. If it works at scale, existing reactors produce more power without touching the advanced fuel supply chain at all. Irradiation testing started at Idaho National Lab in November 2025. Very long path to commercialization. You are betting on the bottleneck becoming less relevant from the demand side.

Summary

I am not saying $OKLO, $NNE, and $SMR are wrong. I am saying they are downstream of a constraint that has not been solved yet. And the companies sitting on that constraint are getting a fraction of the attention.

Not financial advice. DYOR.

Every retail investor is buying reactor stocks. NuScale. Oklo. Nano Nuclear. X-Energy. The thesis is simple: AI needs power, power needs nuclear fuel. The narrative is correct. But the trade is pointed at the wrong part of the supply chain.

Advanced reactors need fuel. The fuel needs enrichment. That enrichment capacity does not exist at commercial scale in the United States.

The real constraint in the nuclear buildout is not the reactor design. It is not the NRC licensing timeline. It is the fuel chain sitting three steps upstream of every reactor on every drawing board.

I scored twenty-three publicly listed companies across the nuclear and uranium supply chain on five variables: dependency, irreplaceability, concentration risk, qualification difficulty, and time-to-scale. The fuel chain won by a wide margin.

Here is what I found.

https://preview.redd.it/pkmnw4kw0yyg1.png?width=501&format=png&auto=webp&s=5b0101048af6200bc5be31c04d2bd4d43cc1aa82

Happy May 4th.

I’ve been trying to map where the real bottlenecks sit beneath major sectors, not just what’s running.

This week I used the space sector as a case study.

Most investors focus on rockets, launch companies, and the visible narrative.

But from a bottleneck perspective, those are just the top layer.

The more interesting question is:
what parts of the system are hardest to replace once everything is in motion?

So I broke the space sector into 6 sub-themes:

Sub-theme
Space Infrastructure — RDW, SIDU, MNTS, VOYG
Aerospace and Defense — LMT, NOC, RTX, BA, LHX
Space Manufacturers — ATRO, TDY, DCO, APH, PH, HEI
Orbital Launch — RKLB, FLY
Satellite Communications — ASTS, SATS, VSAT, TSAT
Earth Observation — PL, BKSY, SPIR, SATL

Then I applied two scoring layers.

First: Relative Strength Gap
This compares each sub-theme vs QQQ across multiple timeframes (1M, YTD, 1YR).

• Negative → lagging
• Positive → outperforming

This is not a valuation signal. It just tells me where capital has and hasn’t flowed.

Second: Bottleneck Score (B(i))

This is my attempt to quantify how hard each node is to replace.

I score based on:

• Dependency
• Substitutability
• Supplier concentration
• Qualification difficulty
• Time-to-scale

Higher score = more structural constraint.

The setups I care about are where lagging performance meets high bottleneck intensity.

Relative Strength Gap vs QQQ

Space Infrastructure — -15.0% (Lagging)
Aerospace and Defense — -12.6% (Lagging)
Space Manufacturers — +6.8% (Mild outperform)
Orbital Launch — +34.9% (Running)
Satellite Communications — +139.9% (Already ran)
Earth Observation — +180.4% (Already ran)

Bottleneck Scores (B(i))

Space Manufacturers — 88
Qualified space hardware is hard to replace. Reliability, testing, and mission heritage matter.

Space Infrastructure — 82
Support layer after launch: ground segment, mission ops, data movement, orbital logistics, in-space services, commercial platforms.

Aerospace and Defense — 78
Clearances, procurement, qualification standards, and long-term customer relationships create real barriers.

Satellite Communications — 76
Spectrum, orbital coordination, telecom integration, and regulatory friction.

Earth Observation — 71
Data history, analytics pipelines, AI processing, and customer integration.

Orbital Launch — 58
Still critical but becoming more competitive and less scarce relative to other layers.

What stood out to me was not just that launch scored lower.

It’s that launch scored lower while infrastructure and manufacturing scored higher.

That suggests the constraint may already be shifting.

Rockets get attention, but once assets are in orbit, the harder problem becomes:

Who builds the qualified hardware?
Who operates the systems?
Who moves and processes the data?
Who keeps everything functional at scale?

From that lens:

Space Infrastructure looks like the most interesting lagging node.
Underperformance + high bottleneck score is exactly the combination I look for.

Space Manufacturers may be the cleanest structural bottleneck.
You can’t shortcut qualification, reliability, and mission heritage.

Orbital Launch is still important, but it’s the most visible layer, and likely not the deepest constraint anymore.

This is not a stock call. It’s a framework.

The model is still evolving, so I’m more interested in stress-testing the thinking than defending the outputs.

For those who think in systems / supply chains:

• Are these the right inputs for measuring bottlenecks?
• Where would you adjust the scoring?
• Do the theme definitions make sense, or would you redraw the map?

And more broadly:

Where do you think the real bottleneck in the space economy sits today?

Next week is not just about companies announcing their earnings. It is a time when we find out if some of the market trends are real or just hype.

Nuclear, AI infrastructure, quantum, space, batteries, fintech, crypto and IPOs have all been stories. Now we get to see which ones have results behind them.

Space / Satellite / eVTOL / Drones

$ASTS Mon AH
$SRFM Mon AH
$ACHR Mon AH
$LUNR Tue AH
$DPRO Thu AH

If $ASTS shows progress on direct to cell technology, investors will jump on to the opportunity as we saw with $RKLB. If not, the whole sector might lose momentum.

LUNR is more focused on government contracts. The market wants to see cash flow visibility and repeatable mission revenue.

ACHR is still working on certification. The market wants to see progress on FAA certification, aircraft timelines, manufacturing readiness and cash runway.

SRFM and DPRO are more speculative. Any credible commentary on defense, drones or cash flow can move them. The big question is whether space, drones and eVTOL are becoming real businesses.

Nuclear / Power / Critical Minerals

$OKLO Tue AH
$DNN Tue AH
$USAR Wed AH
$UAMY Thu AH
$NNE Thu AH

These companies are all part of one story: can the US fix its energy supply chain?

OKLO and NNE are working on the reactor side of things. Investors want to know if they are making progress on licenses, buildout timelines and access to fuel. DNN is important because it shows us what is happening with uranium, which is a key part of the nuclear chain. If DNN does well, it helps the nuclear story. If it does poorly, it hurts the story.

USAR and UAMY are working on minerals like rare earths and strategic minerals. These minerals are important for the US energy supply chain. If these companies make progress on production, processing or government support, it can help the whole minerals sector.

Semis / Quantum / AI Data Center Hardware

$RGTI Mon AH
$QUBT Mon AH
$CLSK Mon AH
$MARA Mon AH
$QBTS Tue PM
$TSEM Wed PM
$NBIS Wed PM
$POET Wed AH
$BTDR Thu PM
$AMAT Thu AH
$BTBT Thu AH

Quantum companies like RGTI, QBTS and QUBT need to show real results, like bookings and customer progress. If they do not, the market might decide the recent excitement was hype.

POET, TSEM, AMAT are AI hardware names. They show us if AI demand is spreading beyond the biggest winners into other areas like photonics and specialty hardware.

CLSK, MARA, BTDR and BTBT are still connected to crypto. Investors are watching to see if they can pivot into AI data centers. The market wants to see contracts, utilization and credible spending plans.

NBIS is another AI infrastructure company. After a run, it needs to show strong results to keep the AI compute sector moving.

Battery / Storage

$MVST Mon AH
$PLUG Mon AH
$EOSE Tue AH
$ENVX Wed AH

Everybody agrees that storage demand is real. Data centers, renewables, grid stability, electric aviation, robotics and defense all need batteries and storage systems.

The question is whether these companies can make money supplying that demand.

EOSE is a company in long duration grid storage. ENVX is working on silicon anode adoption. MVST is a high risk battery turnaround story. PLUG is still focused on cash burn, policy support, funding visibility and whether hydrogen can become financially stable.

This sector has demand, but investors want to see execution.

Blockchain / Fintech / Crypto Platforms

$CRCL Mon PM
$ETOR Tue PM
$PAGS Tue AH
$KLAR Thu PM
$BLSH Thu PM
$NU Thu AH
$DLO Thu AH
$STNE Thu AH

This is a test for fintech and crypto infrastructure.

CRCL is a company in stablecoins. A strong report will show that stablecoins are becoming financial infrastructure. A weak report will cool down the crypto payments story.

ETOR shows us retail trading appetite and crypto participation. BLSH adds the digital asset platform angle.

NU is a quality leader in LATAM fintech. PAGS, DLO and STNE show whether digital payments, merchant acquiring and cross border fintech are still growing. KLAR is an earlier stage company, so credit quality and loss ratios matter most.

The important thing to watch is whether fintech and crypto infrastructure are still growing.

AI / Cloud / Enterprise Software

$MNDY Mon PM
$WIX Wed PM
$DOCS Wed AH

These companies are being judged on whether their AI features are actually helping their businesses.

The market wants to see evidence that AI is improving retention, pricing and customer usage. Just talking about AI is not enough anymore. If these companies can show results from AI, the software sector can regain momentum.

IPOs

$GMRS
$FRVO
$CBRS

CBRS is Cerebras, the AI chip IPO. It matters because it tests investor appetite for custom AI silicon outside the Nvidia ecosystem.

FRVO is Fervo Energy, the geothermal company. It fits into the power bottleneck story because data centers need energy.

GMRS is less tied to AI. It still gives us a read on IPO risk appetite.

If these deals do well, it shows that capital is still willing to chase growth stories.

Next week is a big test for some market sectors.