Data Centers

Americans are increasingly distrustful of Big Tech and AI, driven by concerns over job displacement, privacy, and the societal impact of these technologies. Data centers face significant local opposition due to environmental and economic worries. Social media platforms are under scrutiny for their effects on young users, leading to substantial settlements. This widespread “techlash” is bipartisan and growing, challenging AI companies and tech giants to demonstrate tangible public benefit and address deep-seated public concerns.

Nvidia is investing heavily in AI, committing nearly $50 billion to AI labs and securing over $500 billion in future investment commitments. This “circular financing” model involves Nvidia funding AI labs, which then purchase Nvidia’s chips for data centers. This strategy aims to accelerate the AI ecosystem and bolster Nvidia’s market position. The company is also securing critical infrastructure and supporting smaller cloud operators to ensure demand for its hardware, driven by the increasing computing power required for AI agents.

OpenAI’s head of data centers, Chris Malone, has departed the company, joining a string of recent executive exits. Malone was crucial to OpenAI’s ambitious $600 billion infrastructure expansion plans. The departures raise concerns as the AI giant prepares for a potential IPO, despite assurances from leadership that the team remains strong and experienced.

Anthropic is preparing for a significant IPO amid growing public opposition to AI data centers and increased competition. The company faces challenges including margin erosion from open-source AI and potential data center development slowdowns impacting its rapid growth. Investors project a valuation approaching $2 trillion, highlighting strong appetite for AI firms. Public concerns about data centers are influencing political discourse, presenting a key hurdle for Anthropic and the AI industry’s expansion.

AI’s rapid growth faces public scrutiny over data center energy and water use. Liquid Death’s satirical campaign highlights water intensity, proposing urine as coolant. Politicians are increasingly addressing data center impacts, with some advocating for stricter regulations or moratoria. While industry leaders pledge responsible development, public apprehension, fueled by cost and job concerns, is growing, making data centers a significant “sleeper issue” in upcoming elections.

Nvidia is actively brokering AI infrastructure deals, connecting companies needing its GPUs with data center operators, particularly in the Nordic region. This initiative extends beyond hardware, aiming to solidify Nvidia’s influence across the entire AI value chain, from software to investments, as the global race for AI infrastructure intensifies.

Despite U.S. export controls restricting advanced Nvidia chip shipments to China, Chinese firms are circumventing restrictions by accessing computing power via data centers in Southeast Asia. This strategy enables rapid AI model development, a key factor in the U.S.-China AI race. Proposed legislation, the Remote Access Security Act, aims to close this loophole, but enforcement remains a challenge.

SpaceX significantly increased its investment in Tesla Megapack battery energy storage systems in the first half of 2026, spending $329 million to power its “Colossus” data centers. This move supports SpaceX’s aggressive AI infrastructure expansion and aims to secure substantial power and cooling capabilities. The company plans to have 20 gigawatts of AI power and cooling online by the end of next year. This investment comes amidst community backlash over SpaceX’s use of natural gas turbines at its data centers.

Meta is set to release Q2 results, with analysts expecting strong revenue growth driven by AI integration in advertising. Investors will focus on Meta’s AI strategy and monetization efforts, as the company invests heavily in AI infrastructure and data centers to compete with tech giants. Despite significant spending, Meta’s stock has underperformed, raising questions about capital expenditure returns. The company is exploring offering AI capacity to third parties, potentially challenging existing cloud providers.

Stocks declined as geopolitical tensions, tech earnings, and healthcare advancements influenced sentiment. Oil prices surged due to Iran-related risks, reigniting inflation concerns and increasing rate hike probabilities. Investors are now demanding tangible AI returns, pressuring companies like Alphabet. Healthcare showcased promising growth with Eli Lilly’s obesity drug data and Johnson & Johnson’s robotic surgery system approval.