The move signals a broader strategic pivot by Japan’s financial sector, which is accelerating investment in artificial intelligence to automate operations and compete in a global technology arms race.
The move signals a broader strategic pivot by Japan’s financial sector, which is accelerating investment in artificial intelligence to automate operations and compete in a global technology arms race.

(P1) Japan's three largest banks are expected to gain access to Mythos, the advanced artificial intelligence model from Anthropic, in approximately two weeks, a person with direct knowledge of the matter said. The decision represents a landmark adoption of foundational AI by the nation's traditionally conservative financial institutions, signaling a new urgency to integrate technology at the core of their operations.
(P2) "We are in the early innings of a structural shift in the global payments architecture," Bakkt Holdings CEO Akshay Naheta said on a recent earnings call, framing the immense scale of the opportunity driving such integrations. "The ocean we are fishing in is far larger than any single competitor will capture."
(P3) While the Japanese banks have not yet disclosed the specific applications for the Mythos model, the move comes during a global land grab for AI-centric financial technology. In the last 18 months, payments giant Stripe acquired Bridge for $1.1 billion and Mastercard announced its $1.8 billion acquisition of BVNK, according to a Bakkt investor presentation, showing that established players are paying steep premiums for market position.
(P4) The adoption is more than a technology upgrade; it is a strategic response to a global AI investment wave, exemplified by Japan's own SoftBank Group, which has funneled billions into building a portfolio of AI infrastructure and hardware companies. For Japan's financial titans, failing to invest in AI is no longer seen as a prudent cost-saving measure but as a competitive risk.
The backdrop for the banks' decision is a national-level push into AI, led by investment giant SoftBank. The firm recently injected over $450 million into AI chip developer Graphcore, a company it acquired in 2024 with the explicit goal of developing artificial general intelligence (AGI). This follows SoftBank's hugely successful investment in chip designer Arm and its 2025 acquisition of silicon design firm Ampere Computing.
SoftBank's strategy extends beyond individual companies to the foundational infrastructure of the AI economy. It is a key partner in the $500 billion Stargate "supercomputer" project with OpenAI and Oracle, and is reportedly discussing a large-scale AI data center project in France. This domestic champion's aggressive, multi-billion-dollar AI strategy has created a powerful incentive for other major Japanese corporations to accelerate their own technological adoption.
The promise of AI to boost efficiency is paired with its power to disrupt established business models, a reality the financial sector is actively grappling with. The technology's ability to automate tasks from coding to customer support is forcing a painful re-evaluation of labor costs and business vulnerabilities.
"The billing model that built India’s IT sector — linear man-hours sold at a dollar-per-hour discount to Western counterparts — is structurally impaired by AI," a head of technology equity research at a tier-one investment bank said on condition of anonymity. This disruption is already rippling through investment markets, with some investors pulling back from software companies seen as vulnerable. According to recent industry data, private credit funds are seeing investors redeem funds over fears of loan losses to software firms whose business models are threatened by AI.
For the Japanese megabanks, integrating a model like Mythos is both an offensive and defensive maneuver. It offers a path to automate internal processes, develop new customer-facing services, and reduce operating costs. Simultaneously, it is a necessary step to keep pace with fintech challengers and global banking peers who are leveraging the same technology to lower costs and improve products, chasing a cross-border payments market projected to reach $67 trillion by 2030.
This article is for informational purposes only and does not constitute investment advice.