Urgent.News

What's breaking now, across thousands of outlets.

AI

Anthropic Wants More Control Over Its Payments Stack

Anthropic’s revenue jumped to more than $11.5 billion in its second quarter, up from $787 million a year earlier, CNBC reported. That pace of growth is pushing the company to weigh a harder question than most startups face: keep renting its financial infrastructure or start building it. Anthropic is running build-versus-buy evaluations across billing, payments, […] The post Anthropic Wants More…

Anthropic Wants More Control Over Its Payments Stack

Anthropic, a leading artificial intelligence company, reported a significant increase in its revenue to more than $11.5 billion in its second quarter, up from $787 million a year earlier. This rapid growth has prompted the company to reconsider its reliance on Stripe, a popular payments service, and evaluate the potential benefits of building its own payments infrastructure.

Job postings for staff software engineers at Anthropic's Billing Platform team suggest that the company is exploring building real-time risk assessment systems and managing invoicing and reconciliation in-house. This decision is part of a growing trend among AI companies, as evidenced by OpenAI's decision to partner with Adyen alongside Stripe for its payment processing needs.

While Anthropic considers the advantages of owning its payments infrastructure, such as increased control and potential cost savings, it must weigh this against the engineering resources required to build and maintain such a system. Stripe, with its Metronome platform, handles over 35 billion usage events a month and processes transactions for numerous AI companies, including Anthropic, OpenAI, Databricks, and Nvidia.

The company's scale and proven track record make it an attractive option for AI businesses seeking reliable and scalable payment solutions.

Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at pymnts.com →

More in AI

Advanced AI Debugging Assistants: Real Results & 2026 Data

Originally published at nlocoding.com Only 18% of developers trust their AI debugging assistant to suggest production-ready fixes without review. The other 82%?

  • Advanced AI debugging assistants outperform human triage in resolving production bugs
  • Only 6% of teams use AI assistants at full capabilities
  • Teams see $15,400/year incident response budget reduction with AI tools

More from Tuesday 8 September →