Infrastructure

US voters in the 2026 midterm elections voted against AI data centers in at least 38 of more than 40 ballot measures across 13 states, passing outright bans in six cities and power limits in 12. Pro-data center politicians also lost offices nationwide, including Texas Governor Greg Abbott, who was defeated by Democratic challenger Gina Hinojosa after his support for AI data centers became a central campaign issue.

Following midterm elections in which Democrats won the Texas governorship, a US Senate seat, and control of the state House after campaigning against data centers, the state's massive AI infrastructure buildout faces potential delays and moratoriums. Even before the election, outgoing Governor Greg Abbott had directed regulators to halt data center permits amid growing bipartisan voter opposition over rising electricity costs.

Interconnects examines the scale of the open model inference market by tracking public token volume disclosures from startups like Baseten, Fireworks, and Together AI alongside OpenRouter API metrics. The available data indicates near-exponential growth in usage, including Fireworks serving over 40 trillion tokens daily for customized models alone, which the author compares against Google's reported platform token volumes.

An editorial from 404 Media reports that American voters in the November 2026 midterm elections broadly rejected candidates backed by the Trump administration and Silicon Valley executives, despite hundreds of millions of dollars in political spending from AI and crypto donors. Voters also approved 39 out of 40 local ballot measures to restrict AI data center projects and elected officials campaigning on data center moratoriums in states like Ohio and New York.

Alphabet's third-quarter earnings showed Google Search revenue growth slowing to 12 percent and paid click growth dropping to 8 percent, even as search queries rose at their fastest rate in five years. Following the report, Alphabet shares fell about 14 percent amid investor concern over the company's plans to spend roughly $200 billion on AI-focused infrastructure this year.

SemiAnalysis reports that SpaceX is rapidly constructing massive AI datacenter capacity across multiple locations, including expansions at Colossus 2 and new sites at Starbase and TeraFab in Texas, targeting roughly 13GW by 2027. To achieve record-breaking build times and bypass grid constraints, the company is utilizing modular equipment from Tesla, mobile gas turbines, and a nearly 6GWh battery energy storage system.

Facing multi-year delays for grid connections and new turbines, AI data center operators are turning to retired aircraft engines rebuilt to burn natural gas to generate electricity quickly. Companies including xAI, OpenAI, and Crusoe are deploying these converted jet engines to bring facilities online within two years, despite their lower efficiency and higher emissions.

U.S. tech giants including Google and Meta have seen their off-balance-sheet AI-related obligations grow by 90% in six months to approximately $3.2 trillion. These commitments for AI infrastructure now reach 80% of the companies' assets, raising concerns among investors over the scale of ongoing spending.

Ukrainian drone strikes have damaged Russian data centers housing AI supercomputers and disrupted cloud services operated by companies like Yandex and Sberbank. In response, the Kremlin is mandating emergency compute reserves for state needs, while Russian firms explore hiding data centers underground in mines.