Industrial Policy for the Intelligence Age: OpenAI's People-First Framework

Significance. OpenAI's industrial policy argument shifts the conversation from reactive regulation to proactive economic design. By framing AI as an infrastructural force that reshapes labor, capital, and public goods, the proposal asserts that governments must play an active role in shaping outcomes rather than merely policing harms after the fact.

Implications for businesses. The policy recommendations - investments in skills, income-support mechanisms, updated competition frameworks, and public R&D infrastructure - will change the operating environment for companies that develop or deploy advanced AI. Firms will face new expectations around workforce transition, data-sharing for public benefit, and ecosystem participation in regional resilience programs. Anticipating these shifts can create first-mover advantages in partnerships and public procurement.

What leaders should do now. Corporate leaders should begin aligning strategic planning with potential policy regimes: invest in reskilling programs, pilot public-private collaborations, and document the distributional impacts of automation in their sectors. Scenario planning should include increased public investment in AI infrastructure and conditional subsidies tied to employment outcomes or open research contributions.

Strategic posture. Engage early with policymakers, join multi-stakeholder initiatives, and design measurable social-impact strategies that can be scaled with public support. Firms that present credible, people-first transition plans will be better positioned to shape policy, secure favorable procurement terms, and reduce political and reputational risk as governments act to manage the Intelligence Age.