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The Politics of AI Are About to Explode

AI wasn't much of a topic in the 2024 election. But it will almost certainly be big in 2028, and probably even the 2026 midterms. There are concerns about all the money being spent and whether a federal backstop or bailout will be necessary one day. There are the concerns about energy use and e

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Bloomberg HostSagar Enjeti Guest

Topics Discussed

Episode Summary

Executive Summary: The episode argues that AI is rapidly becoming a political issue because it combines labor displacement fears, higher electricity demand, concentrated corporate power, and bailout risk. Guest Sagar Enjeti says backlash is already bipartisan and bottom-up, driven less by abstract doom narratives than by distrust of tech CEOs, data center expansion, and the feeling that ordinary people lack control over the technology.

Main Topics: AI as a Political Powder Keg (Priority: 5/5): The hosts frame AI as likely to dominate U.S. politics by 2026–2028 because it touches jobs, energy prices, industrial policy, and government support for private AI firms. Bipartisan Public Backlash to AI and Data Centers (Priority: 5/5): Sagar argues opposition is emerging across the political spectrum, from progressive and populist circles to right-wing commentators, especially around power use, local costs, and labor anxiety. Concentrated Corporate Control and Trust Deficit (Priority: 5/5): The conversation emphasizes that AI is being shaped by a small group of CEOs and mega-cap firms, which fuels distrust because the public sees little democratic input or accountability. Washington’s Alliance of Convenience with Big Tech (Priority: 4/5): Despite populist anger, the Trump administration and tech leaders are portrayed as aligned for now because AI investment supports GDP, stock markets, and political optics. Electoral Coalitions and the 2028 Landscape (Priority: 4/5): The guests discuss how both parties may struggle to position themselves: Republicans are split between tech donors and anti-tech populists, while Democrats may move toward regulation and power protection. Economic Fragility and the Risk of Backlash During Downturns (Priority: 4/5): The episode notes that the backlash is forming before mass layoffs or a market crash, suggesting the political response could intensify sharply if unemployment rises or AI investment stalls. Narrative Shift from Human Benefit to Replacement Fears (Priority: 4/5): They contrast earlier promises that AI would cure cancer or boost productivity with current messaging around erotica, consumer apps, and replacement of workers, which is worsening skepticism.

Key Arguments: AI is becoming a political issue not because of ideology alone, but because it affects everyday costs, labor, and local infrastructure like electricity grids. Public skepticism is broad and cross-partisan; it is not limited to effective altruists or niche online communities. The real problem is less the technology itself than how it is owned, controlled, and monetized by a handful of firms and executives. Tech companies are asking the public to trust the same leaders who sold social media and other platforms whose societal impacts are now widely questioned. The Trump White House and tech CEOs have a transactional alliance: AI capex boosts GDP and the stock market, so the administration has incentives to support them. Republicans face internal conflict between tech-right donors/entrepreneurs and populist base voters who dislike H-1B expansion and labor replacement rhetoric. Democrats, especially populist and anti-monopoly factions, are likely to find stronger footing than centrist 'abundance' Democrats because the issue is fundamentally about control and ownership. A major economic downturn or rising unemployment would dramatically intensify AI backlash and force policymakers to confront compensation, regulation, or labor-policy responses.

Data Points: Bloomberg News Now episode length: 5 minutes - Promo for Bloomberg's on-demand news report Bloomberg journalists and analysts: 3,000 - Promo emphasizes global reporting resources Bloomberg Intelligence analysts covering companies: more than 2,000 global companies - Promo for Bloomberg Intelligence Podcast Virginia power consumed by data centers: 40% - Sagar cites Northern Virginia as a major data center hub Oregon power consumed by data centers: 33% - Sagar notes another state with large data center load OpenAI projected losses: $75 billion - Sagar references projected losses by 2028 in the context of bailout fears OpenAI reported/mentioned earnings: $20 billion - Used to contrast with projected losses and valuation concerns Committed AI spend: $1 trillion - Sagar cites enormous pledged spending as part of bubble/bailout concerns AI startup valuation mentioned: $50 billion - Breaking Bloomberg headline about Thinking Machines Lab raising at this valuation Quoted stock market level: 6,700 - Tracy says people are already angry at the S&P around this level Alternative stock market threshold: below 6,000 - Tracy speculates sentiment would worsen if the market falls below this level

Pivotal Quotes: "AI shouldn't eliminate them, it should elevate them." — Narrator/Palantir ad: Opening ad pitch presenting AI as pro-worker rather than replacement technology "You're being sold an AI future where you're obsolete or irrelevant. That vision is wrong." — Narrator/Palantir ad: Framing statement used to position Palantir's AI as human-augmenting "We do not feel that we are in control of this technology." — Sagar Enjeti: Central explanation for why backlash is spreading across the political spectrum

Implications: AI is moving from a tech story to a labor, energy, and governance fight. Expect tougher regulation, more anti-data-center politics, and sharper pressure on both parties to offer concrete protections if AI disrupts jobs or power prices.

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About Odd Lots

Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation every Tuesday and Thursday for interviews with the most interesting minds in finance, economics and markets.

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