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SEQH Capital Research

Quantifying Amazon-Backed X-energy: HALEU, Steam, and Silicon

3/12/26

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SEQH Capital Research
Mar 12, 2026
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SEQH Capital Research
Quantifying Amazon-Backed X-energy: HALEU, Steam, and Silicon
Tear Sheet – March 2026


Why This Report Exists

X-energy is not “one more SMR,” but the nucleus of an Amazon-anchored Xe-100 fleet that tightly links HALEU fuel demand, high-temperature industrial steam, and AI data-center power. This report rebuilds the fleet pipeline, models HALEU and SWU needs under three deployment paths, quantifies “compute-per-reactor” capacity, and translates these physics into portfolio-actionable signals for uranium, enrichment, and advanced reactor names.​


X-energy in One Glance

  • Most commercially advanced HTGR developer in the West, with an order book >11 GW (~144 Xe-100 modules) across the U.S. and UK.​

  • Anchors: Amazon’s up-to-5 GW U.S. deployment option through 2039, a 50B dollar strategic alliance with KHNP and Doosan, and >2B dollars of private capital raised (including a 700M dollar Series D led by Jane Street).​

  • Sits at the intersection of three mega-trends: HALEU fuel-cycle dominance, industrial decarbonization via high-temperature steam, and nuclear-powered AI campuses.​

Key commercial pillars:

  • Dow Seadrift (TX) 4-pack (320 MWe / 800 MWt), ARDP anchor, targeting ~440k t CO₂e/year avoided at a 4,700-acre chemical complex.​

  • Cascade Advanced Energy Facility (WA) for Amazon (Phase 1: 4 modules, 320 MWe), expandable to 960 MWe; first concrete instantiation of the Amazon partnership.​

  • Centrica Hartlepool (UK), JDA for up to 6 GW; first site 12 modules (~960 MWe, >15B dollar lifetime value).​


Fleet Scale: Base, Bull, Bear

X-energy fleet scenarios (U.S. + UK):​

  • Bull: 11,000 MWe by 2040 (138 modules) if full 5 GW U.S. + 6 GW UK are realized and Korean supply chain ramps quickly.

  • Base: 6,920 MWe by 2040 (86 modules) with ~70% of Amazon’s 5 GW converting plus initial UK Hartlepool; supply chain limits to ~8 modules/year by 2037.

  • Bear: 3,520 MWe (44 modules) if deployment is largely Dow + Cascade and UK slips beyond 2037.

Core finding: Base Case (~6.9 GW by 2040) drives ~395 MT cumulative HALEU demand, a dominant slice of projected Western supply and a direct volume tailwind to Centrus (LEU), Urenco, and ASP Isotopes (ASPI).​


HALEU & Fuel-Cycle Demand

Xe-100 fuel design: TRISO-X pebble fuel, ~220k pebbles/core, ~18k TRISO particles/pebble, UCO kernels at 15.5% enrichment, 160 GWd/tHM burnup, 750°C outlet temp, with online refueling enabling ~95% availability.​

Per-module calibration (normalized to 19.75% HALEU):​

  • First-core load: ~1.3 MT per module.

  • Reload: ~0.58 MT per module per year.

Scenario HALEU demand:​

  • 2035 annual: Bear 10.4 MT/yr, Base 24.2 MT/yr, Bull 39.8 MT/yr.

  • 2040 annual: Bear 28.4 MT/yr, Base 53.0 MT/yr, Bull 86.6 MT/yr.

  • Cumulative 2026–2040: Bear 199 MT, Base 395 MT, Bull 624 MT, equal to ~3.7%, 7.4%, and 11.7% of INL’s 2050 base HALEU scenario (~5,350 MT).

Western HALEU supply remains tiny: Centrus had delivered only 920 kg to DOE by mid‑2025; even with Centrus, Urenco Capenhurst, and early LIS (ASPI), Western HALEU is unlikely to exceed 10–20 MT/yr before early 2030s.​

NIA pegs HALEU production cost near 23,725 dollars/kgU at 19.75% enrichment, reflecting ~1,000 dollars/SWU HALEU vs ~150 dollars/SWU standard LEU.​


AI Data Centers: Power, Racks, Compute-per-Reactor

Each Xe-100 module: 80 MWe electric. At AWS global PUE of 1.15, yields ~69.6 MW of IT load per module.​

Rack capacity at PUE 1.15:​

  • 40 kW: 1,739 racks

  • 60 kW: 1,159 racks (current common AI density)

  • 80 kW: 870 racks

Using Trainium3 (~2.52 PFLOPs FP8 per chip, ~500 W) and 60 kW/rack (~100–120 accelerators):​

  • A single Xe-100 powers ~1,159 AI racks, ~130k–139k accelerators.

  • Implied compute: ~290–350 ExaFLOPs FP8 per module.

A 1 GW AI campus would need roughly 13–14 Xe‑100 modules at PUE 1.15; Amazon’s entire 5 GW U.S. strip could backstop about five such mega‑campuses.​


Industrial Heat, Steam, and Hydrogen

Steam conditions: 565°C, 16.5 MPa, well above LWR steam range and tuned for petrochemicals, hydrogen, pulp/paper, and chemical synthesis.​

Dow Seadrift reference case: 4 modules (800 MWt / 320 MWe) avoid ~440k t CO₂e/year. Back‑solved per-module metrics:​

  • ~110k t CO₂e/year avoided per module.

  • ~2.1M MMBtu/year natural gas displaced per module.

Hydrogen (HTSE) potential: scaling INL’s 600 MWt HTGR‑HTSE (1.75 kg/s H₂, ~40.4% efficiency) to 200 MWt:​

  • ~0.58 kg/s ≈ ~50 t/day H₂ per module.

  • At 3.04–3.72 dollars/kg, ~55–68M dollars H₂ revenue per module per year.


Economics, Valuation-Style Metrics, and Optionality

Implied HALEU throughput value (using 23,725 dollars/kgU):​

  • Bear 199 MT: ~4.7B dollars.

  • Base 395 MT: ~9.4B dollars.

  • Bull 624 MT: ~14.8B dollars.

Per 80 MWe module project NPV (40‑year life, 95% CF, 5,000 dollars/kW NOAK, 25 dollars/MWh OPEX):​

  • At 90 dollars/MWh PPA: ~89M dollars NPV @8% WACC (~27M @10%).

  • At 100 dollars/MWh: ~157M @8%, ~88M @10%, IRR ~12.4%.

  • At 110 dollars/MWh: ~225M @8%, ~149M @10%.

Amazon 5 GW strip: treat each 320 MWe four‑pack as a project call option. At 100 dollars/MWh and 10% WACC, each four‑pack adds ~352M dollars NPV; full 5 GW (15.6 four‑packs) implies ~5.5B dollars of platform option value.​


HALEU Efficiency vs. Other Advanced Designs

INL HALEU scenarios (equivalent energy output to 2050):​

  • Xe-100 all‑HTGR fleet: lowest cumulative HALEU (~3,450 MT).

  • Natrium SFR: ~7,175 MT HALEU (2x Xe‑100).

  • USNC MMR: ~9,000 MT estimated (very high per GWe due to 20‑year cores).

Xe‑100’s high burnup, online refueling, and 15.5% enrichment make it the most HALEU‑efficient advanced reactor per unit energy, a structural advantage when HALEU supply is the binding constraint.​


Fuel Fabrication, Supply Chain, and Key Trades

TRISO‑X (X-energy subsidiary) holds first‑mover monopoly on Western HALEU pebble fabrication:​

  • TX‑1 (Oak Ridge) 5 MTU/yr (~11 reactors), NRC Category II license (Feb 2026), first HALEU feedstock (Dec 2025).

  • TF3 expansion: 8 MTU/yr initially, scalable to 16 MTU/yr by early 2030s.

  • Full 21 MTU/yr supports ~46 Xe‑100 reactors; further capacity needed for full U.S.+UK fleet.

Key beneficiaries and themes:​

  • Centrus (LEU): only operating U.S. HALEU enricher; each X-energy FID = multi‑year fuel contract.

  • ASPI/QLE: LIS-based HALEU route; large addressable market at current HALEU pricing.

  • CCJ, UUUU, broader miners: more HALEU demand = higher natural uranium throughput and price support.

  • BWXT, CEG, DOW: component, operations, and industrial-heat customers.

Key catalysts: Dow Seadrift NRC CP, Cascade Phase 1 FID + PPA, TX‑1 first fuel, Hartlepool approvals, X‑energy IPO filing, Centrus/Urenco HALEU ramp milestones, additional Amazon/X-energy FIDs.​


Want the Full X-energy / Xe-100 Deep Dive?

[READ THE COMPLETE X-ENERGY REPORT]

The full report includes a quantitative, Amazon-anchored model you won’t find anywhere else:

  • Complete reconstruction of X-energy’s 11+ GW pipeline across Dow, Amazon Cascade, Hartlepool, and residual U.S. options

  • Three-path fleet deployment model (Bear/Base/Bull) with module counts, MW, and HALEU tonnage through 2040

  • Detailed HALEU and SWU demand modeling for Xe-100 vs. Natrium vs. USNC MMR, with INL-based efficiency rankings

  • AI campus power stack: PUE, rack densities, accelerators per module, and ExaFLOPs-per-reactor metrics using AWS Trainium3

  • Industrial heat and hydrogen economics from the Seadrift reference case and HTSE-coupled Xe-100 configurations

  • Project NPV and IRR grids by PPA price, WACC, and capex, plus an explicit valuation of Amazon’s 5 GW option strip

  • Fuel-fabrication capacity roadmap (TX‑1, TF3) and HALEU feedstock bottleneck analysis

  • Risk matrix covering FOAK cost overrun, HALEU supply, licensing, tech execution, and competitive displacement

  • Knock-on trade map across LEU, ASPI, CCJ, BWXT, UUUU, CEG, and DOW

X-energy’s Xe‑100 fleet is a single platform that ties HALEU, industrial steam, and AI compute into one quantifiable demand engine. This report shows you exactly how that engine translates into tons, MWh, and dollars.

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