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Rakuten considers U.S. IPO of credit card business amid rising global listing trend

Rakuten is exploring an initial public offering (IPO) in the United States for its credit card business, according to two sources familiar with the matter, as the Japanese e-commerce and financial services giant seeks to capitalize on global investor appetite for financial technology stocks.

The considerations, still in their early stages, include a potential stake sale to a strategic buyer, one source said. The move was reportedly prompted in part by SoftBank’s plans to list PayPay in the U.S., which could value the payments firm at over 3 trillion yen ($20 billion).

A U.S. listing of Rakuten Card would mark the company’s biggest overseas capital market move to date. Rakuten’s shares rose 4.7% in Tokyo following the Reuters report, outperforming the Topix index, which gained 1.6%.

Last year, Mizuho Financial Group acquired a 15% stake in Rakuten Card for 165 billion yen ($1.1 billion), valuing the business at over 1 trillion yen ($7 billion). The two firms have since launched joint credit card products.

Credit cards remain central to Rakuten’s ecosystem, linking its e-commerce, banking, travel, and loyalty programs. The division has issued over 30 million cards and reported a 20% rise in operating profit to 62 billion yen last year, though profit slipped 4.5% in the April–June 2025 quarter due to higher operating costs.

Rakuten Card aims to lift profits to 100 billion yen in the medium term and expand into corporate credit services, CEO Koichi Nakamura said earlier this year.

The company’s potential U.S. IPO comes amid a resurgent IPO market, with firms raising $24 billion in the third quarter, the busiest since late 2021, according to Dealogic.

Anthropic Launches Claude Opus 4 AI Model Capable of Autonomous Multi-Hour Coding

AI startup Anthropic has unveiled Claude Opus 4, its most advanced artificial intelligence model to date, claiming the system can now code autonomously for hours — a significant leap in the evolution of long-context, reasoning-driven AI tools. The company also introduced Claude Sonnet 4, a smaller, cost-efficient sibling model designed for broader accessibility.

Backed by tech giants Alphabet (Google) and Amazon, Anthropic has carved a niche in building safe, high-performing AI assistants, with software development and autonomous task execution as core strengths.

What’s New with Claude Opus 4?

  • Autonomous task handling extended from minutes to multiple hours

    • Example: Opus 4 was used by Rakuten to code for nearly 7 hours continuously

    • Another experiment had it play a 24-hour session of Pokémon — up from just 45 minutes with Claude 3.7 Sonnet

  • Enhanced long-form coherence and persistent memory

  • Improved context retention, logic, and decision-making over extended periods

“For AI to truly have the economic and productivity impact that it can, models need to work autonomously and coherently for long periods,” said Mike Krieger, Anthropic’s Chief Product Officer.

Key Technical Upgrades

  • Models now toggle between fast responses and deep reasoning based on the complexity of the task

  • Integrated web search capability for real-time information retrieval

  • Claude Code, Anthropic’s developer tool for software engineering, is now generally available after a February preview

Strategic Context

The release comes in a week marked by major AI updates from Google and OpenAI, reflecting the intensifying race for AI supremacy. With Claude Opus 4, Anthropic positions itself as a strong contender in the high-performance, enterprise-ready AI space — particularly in software engineering, automation, and long-context tasks.

Market Implications

  • Strengthens Anthropic’s value proposition for enterprise use cases such as code generation, virtual R&D assistants, and simulation tools

  • Places pressure on rivals including OpenAI’s GPT-4, Google’s Gemini, and Mistral’s open-weight models

  • Reinforces investor confidence in Anthropic’s multibillion-dollar backers, as the startup moves toward fully autonomous AI agents