Anthropic has overtaken OpenAI to become the world's most valuable artificial intelligence startup, achieving a $965 billion valuation after a $65 billion Series H funding round, signaling a major shift in the competitive landscape as energy infrastructure emerges as the next critical bottleneck for AI growth.

Why Has Anthropic Surpassed OpenAI in Valuation?

Anthropic's $965 billion valuation, achieved in May 2026, now exceeds OpenAI's $852 billion valuation from March 2026. The funding round was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, and included $15 billion in previously committed investments, including $5 billion from Amazon. This valuation surge reflects explosive growth in Anthropic's business, with the company reporting a $47 billion revenue run rate, up from $30 billion earlier in 2026 and just $10 billion in 2025.

Much of Anthropic's growth is driven by Claude Code, its AI coding assistant that has become essential for many enterprises. The company recently released Claude Opus 4.8 and Claude Mythos Preview, a cybersecurity-focused system available to select companies. According to Anthropic's internal evaluations, Opus 4.8 is approximately four times less likely than its predecessor to let flaws in written code pass unnoticed, and it excels in financial analysis, reasoning, and agentic coding tasks.

"Claude is increasingly indispensable to our growing global community of customers. This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens," stated Krishan Rai, Anthropic's Chief Financial Officer.

Krishan Rai, Chief Financial Officer at Anthropic

Both Anthropic and OpenAI are preparing for initial public offerings (IPOs) later in 2026, with OpenAI expected to file its confidential prospectus in the coming weeks. This competitive dynamic suggests that the AI industry's value creation is accelerating, with both companies racing to demonstrate sustainable business models and growth trajectories to public markets.

What Is the Energy Crisis Threatening AI's Growth?

As artificial intelligence companies race to scale their operations, they face a critical bottleneck that no amount of computing power can solve alone: energy. Data centers powering AI applications consume enormous amounts of electricity, and this demand is only accelerating. Global spending on data center infrastructure could reach $7 trillion by 2030, according to recent analysis from McKinsey and Company. The challenge isn't just building more data centers; it's powering them reliably and sustainably.

AI companies typically do not operate their own compute power. Instead, they outsource this task to cloud providers that build and maintain data center infrastructure. Without scaling energy resources commensurately, the AI industry's growth trajectory could stall. This energy constraint is now recognized as one of the most pressing infrastructure challenges facing the sector.

How Are Companies Planning to Meet AI's Energy Demands?

• Orbital Data Centers: SpaceX is exploring placing data centers in low Earth orbit, where solar panels can generate clean power consistently and cooling costs drop dramatically due to the cold ambient temperatures of space, though significant technical challenges remain.
• Small Modular Reactors: Oklo, a nuclear energy company backed by Sam Altman, is pursuing small modular reactors, or SMRs, to power terrestrial data centers, offering faster deployment timelines and lower construction costs compared to traditional nuclear facilities.
• Infrastructure Scaling: Both approaches aim to remove the energy constraint that could otherwise limit AI's growth trajectory, ensuring data center capacity can expand alongside AI demand.

Oklo has already signed multiple deals with major data center providers, positioning itself as a critical player in the AI infrastructure ecosystem. The company must now prove it can secure necessary regulatory approvals and deliver projects on schedule and within budget. If successful, Oklo could grow aggressively alongside the AI industry's expansion.

What Role Will Infrastructure Play in Future AI Competition?

The emergence of energy infrastructure as a competitive battleground reflects a fundamental reality: scaling AI requires not just better models, but reliable power supplies. SpaceX is expected to go public this summer, potentially as early as June, with experts believing the company is targeting a market cap between $1.5 trillion and $2 trillion. The company's orbital data center initiative represents one potential solution to the energy bottleneck, though it remains years away from commercial viability.

Oklo's approach using small modular reactors offers a more near-term solution. These reactors are faster and cheaper to build than conventional nuclear power plants, making them an attractive option for companies desperate to power their expanding AI infrastructure. The company's success will depend on securing regulatory approvals and delivering projects on time and within budget.

The broader implication is clear: infrastructure, not just artificial intelligence model performance, will determine which companies thrive in the coming decade. As Anthropic celebrates its valuation milestone, the industry's attention is increasingly turning to the physical systems required to power the AI revolution. Energy availability and reliability may ultimately prove as important as algorithmic innovation in determining which AI companies can scale sustainably.