
AI's Power Problem: Big Tech Faces Political Backlash
Political and economic pressure is mounting on Big Tech to cover the immense energy and water costs of AI data centers, a shift that could reshape the industry.
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Political and economic pressure is mounting on Big Tech to cover the immense energy and water costs of AI data centers, a shift that could reshape the industry.

Meta Platforms is investing $65 million to influence state-level AI policy, its largest election spending ever, starting in Texas and Illinois to prevent inhibitory legislation.

Industries from EV battery manufacturing to crypto mining are pivoting to support the massive infrastructure needs of AI, signaling a major economic shift.

Elon Musk predicts artificial intelligence infrastructure will be forced to move to space within 30 to 36 months due to unsustainable energy demands on Earth.

SpaceX has filed an application with the FCC to launch up to one million satellites, creating a network of "orbital data centers" to power artificial intelligence.

Internal Microsoft forecasts reveal its data center water usage is projected to more than double by 2030, driven by the AI boom and challenging its own environmental pledges.

Nvidia announced its next-generation AI platform, Vera Rubin, at CES 2026, with shipments scheduled for the second half of the year to power complex AI.

Citing concerns over Earth's limited land and energy, tech giants like Google and leaders including Elon Musk are planning to build AI data centers in space.

A deep division is growing in the Democratic party over its approach to AI, with a populist wing urging a strong anti-tech stance while moderates warn of economic fallout.

India is attracting over $67.5 billion in AI data center investments from Microsoft, Amazon, and Google over five years, cementing its role as a global AI infrastructure hub.

Google has announced a $4.75 billion all-cash deal to acquire Intersect, a developer of data centers and energy plants, to bolster its AI infrastructure.

Tech giants like Microsoft and Meta are using complex financial deals to fund the AI infrastructure boom, shifting tens of billions in long-term risk to smaller partners and private investors.