OpenAI's 5 Policy Priorities for 2028 Election: AI as New Deal

Executive Overview

OpenAI has published an official policy paper by Chris Lehane, its global affairs lead, outlining five policy priorities for AI ahead of the 2028 election and comparing the economic transformation to Roosevelt's New Deal. The proposal follows a Democratic midterm victory and growing bipartisan opposition to data centers. The paper calls for enforceable safety standards, independent evaluations, public oversight, and the ability to restrict or shut down AI systems, while also advocating for worker protection, education incentives, tax reforms, and child safety measures. The AI Now Institute criticized the proposals as serving corporate interests over the public good, noting they assume widespread AI adoption and societal benefits that have not yet materialized.

Deep-Dive Features & Architecture

In his article, Chris Lehane outlines five policy priorities: First, worker protection and education through incentives for learning AI skills, easier capital access for entrepreneurs, and new models for employee ownership and profit-sharing. Second, AI safety via enforceable standards, independent evaluations, public oversight, and the ability to shut down systems. Third, data center development with an emphasis on construction jobs and local tax revenues, warning that supporting a moratorium on data center construction could threaten America's competitiveness against China. Fourth, tax reforms that encourage AI adoption. Fifth, child protection and focus on education with age-appropriate standards and safeguards around AI companions for minors.

The article follows a Democratic midterm victory, with Democrats controlling Congress amid voter dissatisfaction with the cost of living. Kate Brennan of the AI Now Institute says Lehane's rhetoric represents a notable shift from OpenAI's agenda last year, which focused on accelerating AI development, reducing regulatory barriers, and expanding infrastructure. Brennan notes that the proposals presuppose widespread AI adoption and societal benefits that have not yet been realized, while lacking binding requirements to ensure workers share in wealth or that companies bear the costs of worker displacement.

Benchmark & Competitive Performance

The document does not include technical performance metrics or benchmark comparisons with competing models. However, it notes that OpenAI opposed California's SB 1047 in 2024, which would have mandated catastrophic risk assessments and shutdown capabilities, and last year sought to limit state-level regulation. Brennan says these positions contradict the current calls for enforceable safety standards. In contrast, OpenAI recently expressed support for several state safety laws and openness to independent evaluators embedded within the company.

Industry Impact & Enterprise Adoption

The document does not include any reference to Arabic language support or regional markets, but it reflects a shift in OpenAI's strategy toward global regulatory influence. For Arab developers, these policies could affect future API access terms and service pricing, especially if the United States adopts new regulatory frameworks. The focus on education and child protection may also drive the company to develop local tools compliant with regulations, potentially opening opportunities for Arabic applications in AI-supported education.

Conclusion

OpenAI's policy paper signals a strategic pivot toward shaping the regulatory landscape ahead of the 2028 election, blending safety rhetoric with economic incentives. While the proposals lack binding commitments and face criticism from public-interest groups, they set the stage for a broader debate on AI governance, worker rights, and corporate accountability. The coming months will reveal whether OpenAI's lobbying efforts translate into concrete legislation or remain a PR exercise.

Media Source: TechCrunch AI | البيان الرسمي للشركة: المصدر الأصلي | Fact Verification & Analysis: AI Tools Oasis