Cold War-era economics sometimes concluded markets and democracy were defective; archival evidence suggests such theories were amplified through elite institutions and funding, operating as a 'Trojan horse' that advanced alternative political narratives and shaped policy discourse.

Main Finding

The paper identifies a puzzle in 20th‑century Western economics: influential theories—including work by Nobel laureates—argued that democracy and market institutions are dysfunctional. Tracing these ideas to their Cold War-era origins, the author presents a case study suggesting these theories functioned as a “Trojan horse” of ideological persuasion, i.e., that intellectual production and its institutional context helped advance political messages that ran counter to the expected normative defense of markets and democracy.

Key Points

• Framing: Ideological contests (e.g., socialism vs. capitalism) usually generate opposing normative visions: collectivized command economies vs. market democracies.
• Puzzle: Contrary to expectation, a strand of Western economic theory developed during the Cold War concludes that democracy and markets are dysfunctional.
• Credibility: These ideas gained legitimacy through elite channels (notably Nobel laureates and canonical publications), increasing their influence on policy and public discourse.
• Trojan‑horse thesis: The paper argues the emergence and promotion of these theories can be read as a politically consequential deployment of economic scholarship—intellectual arguments that, while couched in technical language, advanced an alternative political narrative.
• Political‑economy lens: The author treats the episode as a case study in how scholarly production, institutional incentives, funding, and geopolitical context shape which theories become prominent.

Data & Methods

• Case‑study approach: in‑depth historical and institutional examination of the intellectual developments in economics during the Cold War.
• Archival and textual analysis: close reading of influential papers/books, contemporaneous debates, and possibly archival materials (publication records, correspondence, institutional minutes) to reconstruct origins and dissemination pathways.
• Contextualization: situating the theories within broader Cold War political and funding environments to assess incentives and persuasion channels.
• Interpretive synthesis: combining intellectual history with political‑economy analysis rather than relying on quantitative causal identification.

(Notes: the summary above reports the methods and evidence style the paper uses rather than claiming exhaustive empirical proof; exact data sources and the scope of archival material are described in the paper itself.)

Implications for AI Economics

• Be alert to epistemic capture: scholarly arguments about AI governance or market structure can carry political valence; funding, institutional incentives, and geopolitical context can shape what ideas gain traction.
• Scrutinize provenance and incentives: assess who funds AI research, the institutional incentives facing researchers, and whether influential technical claims serve broader political narratives.
• Maintain methodological pluralism: combine quantitative robustness checks with historical and institutional analyses to understand how AI economic theories emerge and spread.
• Transparency and disclosure: promote clear disclosure of funding, affiliations, and normative assumptions in AI economics work to make potential persuasion effects visible.
• Guard against “Trojan horse” framing in AI policy: be cautious of technically framed claims that implicitly endorse particular governance models without explicit normative debate; subject such claims to independent replication and multidisciplinary review.
• Practical steps: include policy historians and political‑economy scholars in AI advisory bodies, require replication of influential empirical results, and prioritize open data and reproducible methods to limit covert ideological influence.