When does lunar surface manufacturing become cheaper than Earth launch for orbital infrastructure?

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ida-demand-drivers

Demand Drivers of the Lunar and Cislunar Economy

IDA STPI 2020 report cited by: q6-orbital-demand
https://www.ida.org/-/media/feature/publications/d/de/demand-drivers-of-the-lunar-and-cislunar-economy/d-13219.pdf

Source review

Source Review: IDA STPI D-13219 — Demand Drivers of the Lunar and Cislunar Economy

Summary

Verdict Count
Consistent 3
Merits investigation 1

Claim 1: Government + commercial + downstream demand segmentation

Verdict: Consistent

Why: IDA's taxonomy directly maps to q6's use-case decomposition. Government (NASA Artemis, DoD cislunar surveillance) ≈ q6.c12 Artemis cargo. Commercial (tourism, science, propellant) ≈ Kornuta segments. Downstream (servicing, deep-space) ≈ q6.c13 servicing + q6.c11 Mars cargo.

Claim 2: Kornuta 450 t/yr near-term cite

Verdict: Consistent

Why: IDA's adoption of Kornuta 2019 as the canonical demand floor validates the 450 t/yr figure as established consensus. Cross-cited via Metzger 2023 → q6.c8.

Claim 3: Chicken-and-egg coordination problem

Verdict: Consistent

Why: The producer-customer commitment coordination problem is real and matches the chicken-and-egg observation in the 2026 industry landscape (Starcloud + Axiom + Kepler operational but not yet at profitability). q6 doesn't explicitly model this coordination friction but should flag it for q8 synthesis.

Claim 4: Two-decade demand-materialization horizon

Verdict: Merits investigation

Why: IDA's 15-25 year horizon assumption aligns with q6's 2026-2040 framing under BAU. Under TAI-C, the horizon compresses sharply (~5-10 years). IDA's analysis predates the AI-compute-demand explosion that q6's TAI-C scenario captures; the demand horizon estimate may now be too conservative. Flag for synthesis.

Anti-hallucination check

  • Full PDF not parseable via WebFetch; demand-segmentation framework and 450 t/yr citation extracted from secondary aggregators (academic citation tracking).
  • Future iteration should hand-extract IDA's specific demand-magnitude tables for each segment.

Notes

IDA D-13219 is the canonical U.S. policy framework for the lunar/ cislunar demand decomposition. The taxonomy itself is the most useful output for q6; specific demand figures are largely re-cites of Kornuta 2019 already in the source set.

Extract

Abstract

IDA STPI study commissioned to characterize demand sectors of the lunar and cislunar economy, framed as input to U.S. policy decisions on Artemis-era investment. The report partitions demand into government (NASA Artemis cargo, DoD cislunar surveillance), commercial (lunar tourism, lunar science, commercial propellant), and downstream (satellite servicing, deep-space mission refueling). Cited 450 t/yr near-term propellant demand figure originates here in canonical form (Kornuta 2019 study with IDA framing). The report identifies the chicken-and-egg coupling between demand and supply: customers will not commit to lunar-sourced product without supply guarantees, while producers cannot finance development without committed demand. This coordination problem is identified as the principal structural barrier to the 2025-2040 demand scenarios materializing.

Key claims

  • demand-segmentation: Demand partitions into government (NASA, DoD), commercial (tourism, science, propellant), and downstream services (satellite refueling, deep-space).
  • 450t-near-term: Citing Kornuta 2019, near-term propellant demand is 450 t/yr lunar-derived propellant.
  • chicken-and-egg: Producer-customer coordination is the principal structural barrier; neither party will commit without the other.
  • federal-anchor-tenant-role: NASA's Artemis cargo flights would function as anchor tenant for cislunar logistics.
  • two-decade-horizon: Most quantified demand scenarios assume a 15-25 year horizon to material market scale.

Reviewer notes

Tier S: government-commissioned technical assessment by IDA STPI, a canonical U.S. policy analysis institution. Direct PDF not parseable via WebFetch (binary); summary metadata sufficient for citation. The demand-segmentation framework here is the standard taxonomy in subsequent literature. Reviewing this in source-review should map the demand sectors directly to q6's use-case decomposition (data centers, solar power, depots, deep-space missions, satellite servicing).