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Investors Await Nvidia’s Earnings, Anthropic Loosens Safety Policy | Bloomberg Tech 2/25/2026

Markets await Nvidia’s Q4 earnings as a bellwether for the AI pipeline. Simultaneously, the Pentagon clashes with Anthropic over AI safety guardrails, while a new mandate requires tech giants to fund their own power infrastructure to protect domestic electricity prices.

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On February 25, 2026, global markets and technology leaders shifted their focus toward a series of high-stakes developments: Nvidia prepared to release its fourth-quarter earnings, a report widely viewed as a referendum on the $500 billion AI infrastructure pipeline. Simultaneously, a geopolitical and ethical standoff intensified as the Pentagon threatened to invoke Cold War-era laws against Anthropic over AI safety guardrails, while President Trump’s State of the Union address introduced a sweeping mandate requiring tech giants to finance their own power infrastructure to protect domestic electricity prices.

Key Points

  • Nvidia Earnings Preview: Markets anticipate a potential 5% swing in Nvidia stock following the closing bell, with investors looking for upside in the company’s $500 billion pipeline for 2026 and signals of demand extending into 2027.
  • Pentagon vs. Anthropic: The U.S. Department of Defense has threatened to use the Defense Production Act to impound Anthropic’s technology if the company refuses to lift safety restrictions on military applications, specifically regarding autonomous targeting.
  • Energy Mandates for Big Tech: In his State of the Union address, President Trump revealed the "Ratepayer Protection Plan," a policy intended to compel companies like Microsoft and Alphabet to build proprietary power plants for data centers to prevent rising utility costs for American consumers.
  • Stablecoin Surge: Circle reported a massive Q4 beat, with USDC transaction volumes reaching $12 trillion—a 250% year-over-year increase—signaling a decoupling of stablecoin utility from speculative digital asset markets.
  • Venture Activity: AI startup RowSpace launched with $50 million in funding led by Sequoia, targeting the "institutional memory" of asset managers through agentic AI applications.

Nvidia and the "Goldilocks" Scenario for AI Markets

The financial world remains tethered to Nvidia’s performance, with shares up 1.8% in anticipation of results that could either validate the current AI rally or trigger a broader software selloff. While Nvidia has only missed revenue estimates twice in the last decade, the bar for success has shifted from mere profitability to future-looking guidance. Analysts are specifically eyeing the 75% margins the company has maintained by increasing the "content" it holds in server designs, moving beyond simple GPUs to integrated server architecture.

The "AI trade" is currently navigating what some analysts call a "contradictory haze." While hyperscalers continue to increase capital expenditure estimates for 2026, there is growing anxiety that AI’s effectiveness might cannibalize legacy software sectors. If Nvidia’s earnings are too strong, it may inadvertently fuel fears that AI is moving too quickly for legacy companies to adapt.

"We are looking for an upside to that $500 billion pipeline for 2026 and any signals regarding demand spilling into 2027. The concerns are less about manufacturing hiccups and more about whether they can deliver enough upside given supply constraints in packaging and memory."

Washington’s New Infrastructure Frontier

During the State of the Union address, President Trump focused heavily on the intersection of technology and domestic affordability. The White House is reportedly in active discussions with Microsoft and Alphabet regarding a non-binding "Ratepayer Protection Plan." This initiative seeks to decouple data center energy consumption from the public grid by requiring tech companies to build on-site power generation. The administration plans to formalize these pledges in a White House event next month.

Trade policy also took center stage, with the President doubling down on tariff plans despite recent Supreme Court rulings that struck down broad-based IEEPA (International Emergency Economic Powers Act) tariffs. Notably, for the first time in nearly two decades, a President did not directly address China in the State of the Union, though a face-to-face meeting between Trump and President Xi Jinping is scheduled for April to discuss trade frameworks.

The Standoff Over AI Safety Guardrails

The relationship between the private AI sector and the U.S. Military reached a flashpoint this week. Anthropic is currently facing a Friday deadline to comply with Pentagon terms that would allow the military to use its technology without the company's existing safety constraints. Anthropic has remained firm on two conditions: no mass surveillance of Americans and no use of its technology in fully autonomous weapons targeting.

According to reports from Bloomberg Tech, the Pentagon is prepared to declare Anthropic a supply chain risk or use the Defense Production Act to seize the technology. This tension highlights a growing divide between "AI safety" advocates and a defense establishment concerned with keeping pace with global adversaries.

"The Pentagon says you don't need those conditions; they don't want companies to attach asterisks or conditions on the use of technology by the Pentagon. They have threatened to declare Anthropic a supply chain risk, which would mean any vendor doing business with the government would have to certify they are not using Anthropic's technology."

Fintech and the Rise of Agentic Computing

While the broader crypto market has seen volatility, Circle CEO Jeremy Allaire revealed that stablecoins are increasingly decoupling from speculative assets. USDC now accounts for nearly 50% of global stablecoin transactions, finding utility in traditional finance through partnerships with Visa and major payroll companies. Allaire noted that the next phase of growth lies in "agentic computing," where AI agents use stablecoins as the underlying "pipes" for autonomous financial transactions.

The Emergence of Institutional AI

In the private markets, RowSpace, a startup founded by MIT alumni and backed by Sequoia, launched to solve the "institutional memory" problem for asset managers. By connecting disparate data systems—including trade info, accounting, and internal memos—the platform allows AI agents to cross-reference data for high-stakes credit originating decisions. Alfred Lin, a partner at Sequoia, emphasized that while the industry is currently fixated on "dystopian" AI outcomes, the immediate value lies in augmenting human strategic work.

Looking ahead, the market's attention will remain on Nvidia’s upcoming GDC (Graphics Delivery Conference) in March, where the company is expected to unveil new product categories. Additionally, investors are tracking the potential merger of Paramount Skydance and Warner Bros. Discovery, as the companies enter further talks regarding a $31-per-share offer that could reshape the media landscape. As these narratives converge, the focus remains on whether AI infrastructure can continue its rapid expansion while navigating increasing regulatory and energy constraints.

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