OpenAI published economic analysis on 22 January 2025 claiming its AI systems could contribute $30–70 billion annually to US GDP by 2030, with broader global economic benefits reaching hundreds of billions [source]. The analysis, conducted with external economists, projects productivity gains across healthcare, education, and professional services sectors.

The document does not disclose methodology for calculating these figures, nor does it provide error margins or sensitivity analysis for the projections. No peer-reviewed validation is cited. The analysis assumes continued model capability improvements at historical rates without accounting for potential plateaus or technical barriers.

OpenAI states the projections depend on "widespread adoption" and "supportive policy frameworks" but does not quantify adoption thresholds required to achieve the stated GDP contributions. The analysis does not address costs of deployment, energy consumption, or displacement effects on existing employment.

The publication coincides with ongoing policy discussions in Washington regarding AI regulation and federal AI procurement. OpenAI has advocated for regulatory frameworks that distinguish between AI developers and deployers, a position reflected in recent congressional testimony by company representatives.

Economic projections from AI providers have historically proven difficult to verify. Similar analyses from other technology sectors have shown wide variance between projected and realized economic impact. Independent economists note that GDP contribution estimates for emerging technologies typically carry high uncertainty, particularly over multi-year horizons.

The analysis is available on OpenAI's global affairs portal. The company has not released underlying data or models used to generate the projections.