AI infrastructure falls from "tech narrative" to "vote poison"! Wall Street unanimously warns: AI trading faces political risks from the midterm elections

According to Zhitong Finance APP, the physical backbone of artificial intelligence—data centers—are transforming from a grand blueprint in Silicon Valley into “giant electricity bills” at the doorsteps of American voters. The Barclays equity tactical strategy team officially incorporated this risk into their market outlook on Tuesday, warning investors not to assume that “rapid AI adoption growth and a loose political environment can coexist in the long term.” Previously, Evercore ISI and BCA Research had also warned that populist backlash against AI could cause trouble for the stock market. Bank of America was even more direct, stating that if Democrats win the Senate and the Texas governorship in the midterm elections, US stocks could fall by over 10% next year.

“The construction of data centers is turning AI from an abstract tech story into a tangible living cost issue,” wrote Barclays strategists Jenny Yang and Alex Altmann in their report. Even those voters who have never used ChatGPT cannot escape the consequences of data centers—higher electricity bills, increasing water resource pressures, and the rise of industrial facilities within communities.

While Wall Street is still debating valuations and capital expenditures for AI chip stocks, a political storm brewing in America's heartland is quietly changing the fundamental logic of AI investments. From Pennsylvania to Texas, from New York to Florida, the construction boom of AI data centers is facing unprecedented bipartisan resistance—an opposition that is becoming the most potent political topic in the 2026 midterm elections.

This “NIMBY” (Not In My Back Yard) movement triggered by AI is becoming the “hidden bomb” tearing the two parties apart in the 2026 midterms.

From "NIMBY Effect" to "Ballot Poison": The Political Nature of AI Infrastructure Has Fundamentally Changed

Wall Street's concerns are not unfounded, as polling data clearly reveals a sharp shift in voter sentiment. A Gallup survey published in May showed that about 71% of Americans oppose the construction of AI data centers in their area. A Fox News poll in July found that 70% of voters oppose building data centers supporting AI in their districts, and 78% support slowing down construction. The opposition cuts across party lines—69% of Democrats, 54% of Republicans, and 53% of independents. In just the first quarter of 2026, 75 data center projects in the US, totaling about $130 billion in investment, faced varying degrees of community opposition.

The core reason for voter opposition is rising electricity costs. Research indicates that the construction of data centers leads to an average increase of about 18% in local residents' electricity bills. Due to the massive power consumption of AI data centers, US wholesale electricity prices have risen by up to 2.7 times. Against the backdrop of persistent inflation, this is essentially adding fuel to the fire for ordinary households.

This anger is rapidly becoming organized. In July of this year, data center opponents held 142 protests across 42 states. From the East Coast to the West Coast, the “heat” surrounding data centers is shifting from the tech sector into voter forums.

Barclays strategists Jenny Yang and Alex Altmann pinpointed the essence in their client report: “Data center construction is turning AI from an abstract tech story into a tangible living cost issue.” “Even voters with limited exposure to AI will feel the impact of higher electricity bills, water resource pressure, and community industrial development.”

A July report indicated that opposition to AI data centers has become “one of the few issues capable of mobilizing voters across the political spectrum,” with politicians from both parties scrambling to adapt to this new reality.

Regulatory "Avalanche" Across States: From New York Ban to Pennsylvania's "Strictest" Rules

Opposition at the political level has quickly transformed into tangible tightening regulations.

In mid-July, New York state became the first in the nation to hit the “brakes” on large-scale data centers at the state level—Governor Kathy Hochul signed an executive order pausing state environmental approval for data centers over 50 megawatts. This executive order is widely viewed as the nation’s first substantial restriction measure against AI infrastructure.

Florida has passed legislation making it clear that additional grid costs for large data centers cannot be passed on to ordinary residents and small businesses.

Michigan Senate Republican candidate Mike Rogers publicly called for a one-year moratorium on data center construction.

Ohio has suspended tax breaks for data centers. Senate Democrats have even proposed a draft bill to end federal tax incentives currently enjoyed by data centers.

Meanwhile, controversy over AI data centers has become deeply embedded in the political map for the midterms, with Texas and Pennsylvania emerging as two key battlegrounds in this contest.

On August 18, Pennsylvania introduced the “strictest” data center regulatory rules in the country. Governor Josh Shapiro signed an executive order requiring data center developers to independently resolve power supply issues, bear related electricity costs, and gradually increase the use of clean energy; additionally, they must “respect local communities, maintain transparency, and prioritize local hiring.” Developers must sign legally binding consent orders, and non-compliance will be strictly punished.

Texas Governor Greg Abbott has already ordered an audit of all data center projects applying to access the electricity grid this month. Jefferies analysts have characterized this move as a “chilling signal” for power stocks. Abbott also publicly stated that large data centers should bear infrastructure costs themselves, increase power supply, and recycle water resources.

Texas is one of the US states with the largest number of operating and planned data centers and is a traditional Republican stronghold. The investment strategy team led by Bank of America Chief Investment Strategist Michael Hartnett places the Texas gubernatorial race at the heart of their market forecasts. The contest between current Republican Governor Greg Abbott and Democratic challenger Gina Hinojosa is seen as a referendum: on one side is the demand from tech giants for expanding AI infrastructure, on the other is voters’ deep concern over rising utility bills and community impacts.

Hartnett’s team warns that if Texas—this Republican bastion—implements substantial policy tightening on data center construction, it would send a clear signal: anti-AI infrastructure sentiment has transcended party lines and become bipartisan political consensus. Abbott has already ordered a grid audit for all data center projects this month, a move Jefferies analysts say is a “chilling signal” for electricity stocks.

Wall Street’s “Political Pricing”: Barclays, Bank of America, and Evercore Sound the Alarm Together

Wall Street is incorporating this political risk into investment frameworks at an unprecedented speed.

Barclays Bank is the latest institution to join the chorus of warnings. Its strategy team points out that the bank’s custom AI Data Center Index—which includes over 40 stocks such as Super Micro Computer (SMCI.US), Arista Networks (ANET.US), and Microsoft (MSFT.US)—has already begun to reflect this risk. Barclays believes that regardless of the midterm election outcome, AI trades lack new upward catalysts.

The Hartnett-led team puts the Texas governor’s race at the core of its market forecasts. Hartnett warns that if Democrats simultaneously control the Senate and win the Texas governorship, US stocks could fall over 10% next year, meeting the definition of a technical correction.

Evercore ISI and BCA Research had previously warned that populist backlash against AI could trouble the stock market. BCA’s core conclusion is even more far-reaching: “Populist backlash against AI could lead to bipartisan support for regulatory legislation by 2027, and especially, potentially trigger large-scale tax increases after 2029.”

Trump’s “Headwind Game”: When the President’s AI Enthusiasm Meets Voters’ Collective Resistance

President Trump is a staunch supporter of AI and data centers, but his stance is becoming a political burden for Republican candidates.

In a radio interview last week, Trump stated that communities rejecting data centers are “making a mistake.” He has repeatedly emphasized that data centers bring “huge job opportunities and tax revenue,” and framed the AI race as a national security priority in competition with China.

However, this position is tearing the Republican Party apart. According to a July Bloomberg report, GOP candidates are distancing themselves from Trump on the data center issue to improve their midterm election prospects. The Senate Republican campaign organization has sent internal memos to top AI companies, warning that negative views on data centers are killing the party’s chances to retain key seats in Ohio.

Henrietta Treyz of investment advisory firm Veda Partners noted, “Super major AI players are facing enormous risks,” and state-level AI regulatory policies will provide a blueprint for federal legislation.