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Having eyes chief global affairs officer Chris Lahane thinks the 2028 presidential election could be a defining moment for AI and he wants politicians to start developing policies that address Americans' concerns about the tech rather than simply paying lip service to anti-AI sentiment and the backlash against data centers. Is he in a USA Lahane compares AI's potential to reshape the economy to President Franklin D Roosevelt's new deal the 1930s set of federal programs and reforms enacted after industrialization and the Great Depression well shattered the old economic order. He observes that Americans today feel similarly anxious about losing control over their economic futures and urges politicians to find a compelling third path that allows people to share in AI's benefits. He lays out five policy priorities spanning worker protections and education to AI safety and data center development. Now the essay comes on the heels of a stunning democratic victory in the midterm elections in which Democrats flipped control of Congress amid widespread voter frustration over the cost of living. Kate Brennan who leads AI and corporate power policy at the AI now institute told tech-runch that Lahane's rhetoric marks a notable shift from open AI's policy agenda last year, which focused on accelerating AI development reducing regulatory barriers and expanding infrastructure. Well, unsurprisingly, many of Lahane's proposals would encourage wider AI adoption and support the infrastructure expansion companies like open AI need to grow. The original new deal established protections for workers and placed constraints on corporate power. It's less clear how Lahane's vision would hold AI companies accountable for the economic disruption their tech could create. Invoking a new deal metaphor is to invoke state capacity to actually benefit the public. Brennan said, continuing, "This is written by a private company that is trying to advocate for policies for its own benefit. It is a historical at best and harmful at worst." While AI wasn't a dominant issue in the midterms, opposition to data centers emerged as a major bipartisan concern in several races in the midterms. Lahane may be right that AI will become a bigger part of the conversation over the next two years. I mean, affordability is already shaping up as a key issue for the 2028 election as Americans grapple with inflation, tariffs, and the rising cost of living. AI could become an increasingly large part of that conversation as voters stress about data centers hiking up electricity bills, AI replacing their jobs, and technologies economic gains flowing only to a handful of wealthy companies. Lahane acknowledges many of these concerns, but he offers few concrete proposals to prevent AI's gains from becoming concentrated. Instead, he largely pitches AI as a path to greater prosperity for Americans willing to embrace it. Take his proposals for the tax code. He suggests incentives for workers to learn AI skills, easier capital access for entrepreneurs and new approaches to employ ownership and profit sharing. Now those are not the same as binding requirements that would ensure workers share in AI-generated wealth, or that companies pay the costs of displacing workers. I was struck by how much of this policy is for a future that is already predicated on mass AI adoption and AI-benefitting society, which we have yet to see, Brennan said, continuing. All of it is predicated on benefiting from AI's upside. Brennan said it would make more sense to see things like a revised corporate tax rate or tax incentives for hiring human beings rather than automating jobs, as well as ways to keep companies from amassing outsized market power. Lahane's emphasis on expanding AI's economic opportunities, rather than limiting potential harms, extends to data centers. He notes concerns about data centers while emphasizing the construction jobs and local tax revenue they could generate. He then warns that politicians who support a data center moratorium could jeopardize America's lead over China, going so far as to compare that stance to the 2002 vote to authorize the Iraq War. Lahane also makes child safety and education central to his proposed agenda, stressing the importance of age-appropriate protections and safeguards around AI companions for minors. He also warns against keeping AI out of classrooms, arguing that doing so could lead to inequality between wealthy students and children in rural communities. But the argument takes for granted that AI improves learning, a claim that remains unproven, and one critics say deserves more examination than more funding, or individualized attention from human teachers. Lahane also calls for enforceable AI safety standards, independent evaluations, public oversight, and the ability to restricting AI systems or use a kill switch to shut them down. Though recent studies show that open AI and other AI labs haven't published comprehensive plans for what they would do if a model escaped human control. Brennan calls these stances "disingenuous," pointing to open AI's history of opposing legislation designed to impose such measures. In 2024, for example, open AI opposed California's AI safety bill, SB1047, which would have mandated catastrophic risk evaluations and shutdown capabilities. Last year, open AI also sought to limit state regulation, arguing that states could undermine American innovation. The company has more recently shifted some of those positions, backing several state safety laws, and saying it would be open to independent evaluators embedded in the company. Lahane also argues that people should maintain control over consequential decisions made using AI, rather than handing off judgment entirely to machines. But that raises the question of what human control really looks like in a society where humans are increasingly being required to use AI in education, work, health care, and government. Throughout his essay, Lahane frames AI as a technology that could give Americans back their sense of agency and economic opportunity. But he ties average Americans' middle-class success to participation in an economy increasingly shaped by companies like open AI, whether his policies will meaningfully redistribute power or subtly entrench it is less clear. TechCrunch reached out to open AI for more specifics on Lahane's proposals and the company stances, but it did not respond by the time of publication. And folks, that's your Daily Crunch! Today's special was reported by Rebecca Belan and more awesome TechCrunch Journalists. 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