A Near-Trillion Valuation to Feed the Compute Machine
Anthropic’s latest funding ambitions underline how radically the economics of frontier AI companies have shifted. According to reports, the Claude developer is in early talks to raise at least USD 30 billion (approx. RM138 billion) at a valuation above USD 900 billion (approx. RM4.14 trillion), excluding new capital. Only months earlier, Anthropic was valued at USD 380 billion (approx. RM1.75 trillion) after a USD 30 billion (approx. RM138 billion) round, a pace that would look reckless in traditional software investing. But this Anthropic funding round is less about headline valuation and more about securing long-term AI infrastructure demand. Claude is expensive to train, deploy and improve, and its growth is constrained by access to chips, power and data centers. The company is essentially raising like an infrastructure operator, not a pure software startup, to ensure it can lock in the resources needed to serve surging AI agent and enterprise demand.
Cloud Backlogs and the Concentration of AI Capital Spending
The AI boom is increasingly visible in cloud computing backlogs, and Anthropic sits at the center of that trend. Contracts involving Anthropic and OpenAI now account for around half of the USD 2 trillion (approx. RM9.2 trillion) revenue backlog reported by major cloud providers, underscoring how much future AI capital spending depends on two cash-burning startups. Anthropic alone has committed to spend about USD 200 billion (approx. RM920 billion) with Google Cloud over five years, representing more than 40% of Google’s reported cloud revenue backlog. OpenAI is projecting server spending of around USD 45 billion (approx. RM207 billion) this year, while Anthropic expects upwards of USD 20 billion (approx. RM92 billion) in server rentals. These figures highlight a sharp consolidation of AI infrastructure demand around a tiny set of frontier AI companies, making cloud hyperscalers deeply reliant on their long-term success—and raising questions about how much more backlog investors are willing to underwrite.
Strategic Financing: Cloud Deals as Capital and Supply Insurance
Anthropic’s capital strategy blurs the line between financing and procurement. Amazon has committed to invest USD 5 billion (approx. RM23 billion) immediately, with the option to add up to USD 20 billion (approx. RM92 billion) more, in a deal that also grants Anthropic access to as much as 5 gigawatts of future Trainium capacity and ties it to more than USD 100 billion (approx. RM460 billion) in AWS technology spending over the next decade. Google reportedly committed USD 10 billion (approx. RM46 billion) with another USD 30 billion (approx. RM138 billion) linked to performance targets, alongside a pledge of five gigawatts of server capacity. These are effectively long-term supply agreements dressed as equity financings. Anthropic is trading future revenue and platform alignment for guaranteed access to scarce compute, energy and chips—critical inputs that determine whether it can keep up with OpenAI, Gemini and other AI models in both capability and reliability.
Racing OpenAI and Consolidating the Frontier AI Landscape
The proposed raise is also a statement of competitive intent. OpenAI recently closed a USD 122 billion (approx. RM561 billion) funding round at a post-money valuation of USD 852 billion (approx. RM3.92 trillion), setting a new benchmark for private AI valuations. If Anthropic manages a valuation above USD 900 billion (approx. RM4.14 trillion) before new money, it would surpass its former parent in paper value, intensifying what some observers call a “Coke vs Pepsi” rivalry. Both companies are preparing for mega-AI IPOs and signing multi-decade, multi-hundred-billion-dollar cloud commitments that effectively lock hyperscalers into their success. As capital, chips and cloud capacity concentrate around Anthropic, OpenAI and a handful of other players, the frontier AI market is consolidating into an industrial-scale arms race. The risk is that latecomers—and even some incumbents—may struggle to secure sufficient compute, no matter how compelling their models or software offerings.
Are We Hitting the Limits of Investor Capital for AI Infrastructure?
Anthropic’s pursuit of a USD 30 billion (approx. RM138 billion) round tests how much capital the AI boom can realistically absorb. Cloud backlogs linked to Anthropic and OpenAI already total about USD 1 trillion (approx. RM4.6 trillion), and their combined commitments drive more than half of the USD 2 trillion (approx. RM9.2 trillion) pipeline at leading cloud providers. Investors are effectively funding not just software growth but a massive industrial buildout of data centers, chips and power infrastructure. At some point, even the most enthusiastic backers will question whether incremental capital is generating proportional returns, especially as AI agents and search products face monetization and regulatory uncertainty. Anthropic’s raise could mark either a new plateau—where only a few ultra-capitalized firms can compete at the frontier—or the beginning of a more disciplined phase, where investors demand clearer paths from staggering AI capital spending to durable, diversified revenue.