OpenAI Is Already Positioning for the 2028 Election: The Business Ambitions Behind Its AI Agenda

OpenAI has already begun laying groundwork for the 2028 U.S. presidential election. According to foreign media reports, the company's head of public policy, Chris Lehane, is working to make AI a central issue in the 2028 race and has proposed a "new social contract" — ostensibly to ensure Americans benefit from AI, but in reality also paving the way for OpenAI's own commercial interests.

What Is OpenAI's "New Social Contract"?

The core of Chris Lehane's proposal is to establish a framework of social rules for the AI era. In his vision, this contract should answer a key question: what do ordinary people stand to gain when AI reshapes employment, education, and economic structures at scale?

From publicly available information, Lehane's language carries a clear lobbying flavor. He argues that the benefits of AI should reach a broader population rather than concentrate in the hands of a few companies. This rhetorical strategy is nothing new — large tech companies have long been adept at proactively proposing industry frameworks before regulation takes hold, thereby seizing the moral high ground and shaping the direction of legislation.

"Social contract" is a classic concept in political philosophy, tracing back to Hobbes, Locke, and Rousseau, referring to the implicit or explicit agreement between members of society and institutions of power regarding rights and obligations. In the context of technological change, the term is often used to discuss how the benefits of technology are distributed across society and how those harmed are compensated. Historically, the "Economic Bill of Rights" during the Roosevelt New Deal era and the construction of European welfare states after World War II have both been viewed as renegotiations of the social contract. Today, the large-scale job displacement that AI may bring is prompting the policy community to revive this framework. It is worth noting that a "contract" proposed by a company is not legislation and carries no binding force — its role is more about setting the discussion agenda and framing the discourse.

Why Target 2028?

The U.S. election cycle is a natural metronome for policy agendas. 2028 is still years away, but the shaping of campaign issues often begins years in advance. Lehane's move now signals that OpenAI hopes to embed the "AI social contract" into the underlying framework of public discussion before candidates formally take positions.

The logic of this early positioning is clear: once a company's policy language becomes shared discourse among candidates from both parties, subsequent regulatory design is more likely to favor the one who proposed it. For OpenAI, proactively defining the agenda is far more advantageous than passively responding to legislation.

There is a distinct "invisible primary" phase in U.S. election issue-shaping. In the one to two years before formal primary debates begin, candidate teams, think tanks, and lobbying organizations compete for agenda-setting power through white papers, policy proposals, and media placements. Before the 2016 election, discussion of tech platform responsibility was almost absent; by the 2020 cycle, antitrust and content moderation had become high-frequency issues in the Democratic primaries — directly related to years of groundwork laid by advocacy organizations. For AI companies, if the "AI social contract" can become a broadly acceptable formulation for both parties around the 2026 midterms, their regulatory influence would far exceed what passive lobbying during the legislative drafting stage could achieve.

The Blurred Boundary Between Public and Corporate Interest

The most intriguing aspect of this news lies in the proposal's duality. The "new social contract" Lehane describes may indeed contain provisions valuable to ordinary Americans — such as AI skills training and benefit-sharing mechanisms. But the same framework would also directly affect OpenAI's regulatory environment, market access, and competitive landscape.

When an AI giant calls for social fairness while simultaneously seeking favorable conditions for its own business model, the boundary between the two becomes blurred. Critics may ask: is this a public policy initiative or a carefully packaged business strategy? Based on how the report characterizes it, Lehane's actions are explicitly described as advancing OpenAI's own commercial interests rather than as a purely public-interest appeal.

"Regulatory capture" is a key concept for understanding this phenomenon — it refers to regulated companies using lobbying, personnel turnover, and agenda-setting to bias regulatory agencies or frameworks toward their own interests. Another related strategy is called "preemption," where companies proactively propose relatively moderate rules to block stricter legislation from emerging. Classic tech industry examples include Microsoft funding policy think tanks during its antitrust litigation in the 1990s, and Uber's early proactive push for ride-hailing legislative frameworks. OpenAI's social contract, framed in public-interest language, may likewise have the objective effect of narrowing the space for more aggressive regulatory proposals — which is precisely why the proposal's duality raises questions.

The Precedent of Tech Companies Engaging in Political Agendas

OpenAI's approach is not unique. Silicon Valley companies have long participated in the political process through policy chiefs, think tank funding, and campaign donations. But what makes the AI industry distinctive is that its regulatory framework has yet to take shape — whoever proposes a plan first has the opportunity to become the standard-setter.

This also explains why OpenAI chose to invest resources early in the election cycle. For AI companies, electoral politics is not just a PR matter but a strategic issue that will determine the operating rules for the next decade.

The "revolving door" mechanism in U.S. politics deserves attention: policy chiefs often move between government, congressional staff, think tanks, and corporations. Chris Lehane himself served in the Clinton administration and has long provided political strategy consulting to tech companies — this kind of background makes corporate proposals more likely to gain trust and adoption within policy circles. In addition, U.S. campaign finance rules allow companies to donate through political action committees (PACs) and industry associations, while the AI industry also indirectly influences rule-making by funding academic research and standards organizations. Compared with traditional industries, AI companies' unique advantage lies in the high technical barrier — policymakers rely heavily on information provided by companies, which further amplifies their agenda-setting power.

Observations and Outlook

Whether Lehane's "new social contract" will truly enter the mainstream agenda of the 2028 election remains uncertain. But what is certain is that OpenAI has already made policy influence part of its core competitiveness. For readers following the trajectory of AI regulation, what's worth watching in the coming years is: how the specific terms of this contract will evolve, and to what extent they overlap with OpenAI's commercial demands.

The intersection of AI and politics is accelerating, and OpenAI clearly does not want to wait until the rules are written before entering the game.

One-line Summary

OpenAI is pushing AI onto the 2028 election agenda, using a "new social contract" to position itself for regulatory influence.

Paragraph Summary

OpenAI's head of public policy, Chris Lehane, is working to make AI a central issue in the 2028 U.S. presidential election and has proposed a "new social contract" arguing that AI benefits should reach a broader population. The article notes that while the proposal ostensibly focuses on public interest, it simultaneously paves the way for OpenAI's commercial interests and regulatory environment. Shaping campaign issues years in advance is a common strategy for tech companies seeking to influence legislation, and since AI's regulatory framework has yet to take shape, whoever proposes a plan first has a chance to become the standard-setter. The article urges readers to watch how the contract's specific terms evolve and how closely they overlap with OpenAI's commercial demands, arguing that the intersection of AI and politics is accelerating and that OpenAI does not want to wait until the rules are written before entering the game.