Anthropic is aggressively recruiting data center talent in Australia and Japan, accelerating its computing power expansion in the Asia-Pacific region.

```

As the demand for large model training and inference grows exponentially, leading AI companies' anxiety about computing power is turning into substantial global infrastructure deployment. Anthropic's recent data center recruitment in Australia and Japan marks a pivotal shift in its compute infrastructure strategy—from relying on the US domestic market and a single cloud service provider to expanding into physical infrastructure in the Asia-Pacific region.

According to CNBC's Thursday report, this AI unicorn, valued at nearly $965 billion, is intensively recruiting for AI data center positions in Australia and Japan. This move not only clarifies the specific geographic direction of its overseas computing power expansion but also sends a strong signal of its urgency to build physical computing capabilities outside of the US.

Against the backdrop of a globally strained AI compute supply chain, with Anthropic's own compute needs being only half met, this step has direct strategic significance in alleviating its computation bottleneck. Through global deployment, Anthropic aims to ensure the security of its compute resources, optimize operational costs, and provide foundational support for its next-generation models’ R&D and commercialization.

The cross-border extension of this infrastructure will not just reshape Anthropic’s own cost and supply chain structure and reduce its dependence on a single cloud service provider—it will also have far-reaching impacts on the global competitive landscape for AI computing power.

Recruitment Perspective: Asia-Pacific Becomes New Anchor for Compute Expansion

The positions Anthropic is recruiting for in Australia and Japan mainly focus on the construction, operation, and infrastructure management of AI data centers. This indicates the company is shifting from merely a compute purchaser to deeply participating in the operation model of physical data center construction.

Anthropic is currently recruiting for 13 positions in its compute department (which focuses on developing and managing AI data centers), 8 of which are located in Australia or Japan. In Japan, the company is hiring for two positions: data center project procurement specialist and data center electrical engineer. In Australia, all six vacant positions focus on data center engineers and operations personnel. In April this year, Anthropic also recruited a data center project procurement specialist in Australia.

Although the positions in Australia and Japan do not list salary ranges, the salary for the London data center trading procurement position aimed at Europe, which was recruited for in April, ranged from £225,000 to £270,000.

Previously, Anthropic’s compute supply relied heavily on US-based facilities and major cloud service providers like AWS and Google. Although the company has recently signed a nearly $45 billion cooperation agreement with SpaceX, a $1.8 billion deal with Akamai, and procured chips and cloud services on a large scale from Google, cloud leasing and domestic expansion can no longer fully fill the rapidly rising gap in its computing power. Looking to the Asia-Pacific region means Anthropic is searching for new poles of compute growth to build a more diverse and distributed global compute network.

Site Selection Logic: A Comprehensive Game of Power, Geopolitics, and Cost

Choosing Australia and Japan as core nodes for overseas data centers involves Anthropic’s comprehensive consideration of power supply, cooling cost, policy support, and geopolitical factors.

Australia boasts abundant land resources and relatively rich renewable energy potential, which can provide long-term, stable power supply for high-energy-consumption data centers, with optimization opportunities in land and construction costs. Japan, on the other hand, holds significant advantages in policy support, geopolitical stability, and advanced cooling technology infrastructure, effectively lowering the cooling costs and improving power efficiency for high-density AI chip clusters.

By deploying in both Australia and Japan, Anthropic can optimize energy costs and operational efficiency while ensuring compute security. This location logic also reflects how, as the AI compute competition deepens, hard constraints like power supply and physical space have become core variables determining the pace of expansion for large model companies.

Alleviating Compute Anxiety: Escaping Single Dependence and Reshaping the Competitive Landscape

The fundamental driver behind Anthropic’s accelerated overseas compute expansion lies in the massive compute consumption brought by its commercial explosion. Currently, with intensive iteration of core products such as ClaudeCode, Anthropic's annual recurring revenue (ARR) has been raised to $47 billion, and it has ushered in its first profitable quarter. At this key capitalization stage—formally filing for an IPO and expected to list as early as this fall—a stable supply of computing power is the cornerstone for maintaining its high valuation and business growth.

However, global AI compute demand has stretched the entire supply chain to the limit, and Anthropic's own compute needs are only half met. Building data centers in Australia and Japan will effectively reduce its reliance on a single cloud service provider and the US domestic supply chain, enhancing the certainty and risk resistance of securing compute resources.

From an industry perspective, Anthropic’s Asia-Pacific layout will intensify the race among top global AI companies for premium data center resources. This will not only spur investment fever in the AI infrastructure supply chain in Australia and Japan but also force competitors like OpenAI to accelerate their global compute deployments. In the era where computing power equals power in AI, the global breadth and depth of infrastructure is becoming a key chip in determining the ultimate commercial success of large model companies.

Risk DisclaimerThe market has risks; investment needs caution. This article does not constitute personal investment advice, nor does it take into account the special investment goals, financial situation, or needs of individual users. Users should consider whether any opinions, views, or conclusions in this article fit their specific circumstances. Investments made based on this article are at your own risk. ```