As the 2028 US presidential election approaches, OpenAI is actively advocating for a new policy framework to manage AI’s transformative effects on the economy and society. The company’s proposed approach seeks to balance economic opportunity with public concerns about job displacement, infrastructure, and data privacy.
- OpenAI frames AI’s impact as a transformative economic moment akin to the New Deal era.
- Policy priorities include worker upskilling, AI safety, and data center expansion.
- Debate intensifies on balancing AI benefits with protections from disruption.
What happened
Chris Lehane, OpenAI’s chief global affairs officer, has called for a dramatic rethinking of policy to prepare for the 2028 US presidential election, framing AI as a defining force that could reshape the economy and democracy. Lehane’s essay proposes a ‘compelling third path’ to address Americans’ fears about job losses and economic uncertainty caused by AI advancements, urging politicians to implement supportive policies beyond surface-level responses to anti-AI backlash.
The essay advocates five policy areas—worker protections, education reform to build AI skills, AI safety regulations, data center infrastructure development, and tax incentives designed to encourage broad participation in AI’s economic gains. This marks a shift from OpenAI’s prior agenda favoring rapid AI development and minimal regulation, indicating a more nuanced engagement with public worries and political realities.
Why it matters
Lehane’s emphasis on AI policy sets the stage for AI to become a high-impact issue in the 2028 election cycle, especially as voters express increasing concern about the cost of living, job security, and corporate power. While the midterm elections highlighted bipartisan resistance to data center expansions due to environmental and energy cost fears, OpenAI warns that restricting AI infrastructure risks ceding technological leadership to geopolitical rivals such as China.
However, critics argue that OpenAI’s approach insufficiently addresses the risk of economic concentration and lacks enforceable measures to ensure equitable distribution of AI-driven wealth. The tension between encouraging AI adoption and protecting workers from disruption underscores the challenge policymakers face in designing a balanced regulatory framework that fosters innovation without exacerbating social inequality.
What to watch next
In the lead-up to the 2028 presidential election, lawmakers and regulators will grapple with Lehane’s proposed policies and the broader debate over AI governance. Key developments to monitor include legislative efforts related to worker retraining programs and AI safety standards, as well as disputes over permitting and regulating data center projects that fuel AI models like those OpenAI develops.
Attention will also focus on whether political leaders propose stronger corporate accountability measures, such as revised tax codes or limits on automation-driven job displacement, which critics say are missing from OpenAI’s vision. The evolving public discourse around AI’s economic and social consequences will shape the regulatory landscape and influence voter priorities as AI’s role in society continues to grow.