Anthropic is evaluating the launch of a new AI model to compete with OpenAI's GPT-6 Astra, which has quickly captured 13% of enterprise AI spending. The move comes as Anthropic faces increasing pressure to balance innovation with profitability and safety concerns.
TL;DR
- Anthropic is considering a new AI model to respond to OpenAI's GPT-6 Astra, which has gained significant traction in the enterprise market.
- The decision comes amid growing investor focus on profitability and safety concerns in AI development.
- Anthropic's annualized revenue run rate exceeded $65 billion by July 2026, but it faces competition from open-source models and OpenAI's growing enterprise share.
What happened
Anthropic is evaluating the launch of a new AI model to counter the momentum of OpenAI's GPT-6 Astra, according to Reuters. This consideration follows CEO Dario Amodei's recent call for the AI industry to slow down the development of increasingly capable models due to safety concerns.
Anthropic is weighing the safety of its next model and the investment required against the need to improve profitability. Investors are increasingly focused on when AI companies will generate sustainable cash flow.
OpenAI released GPT-6 Astra on September 3, 2026, highlighting improvements in computer use, software engineering, cybersecurity, and professional work. The model has gained significant traction among businesses and developers, raising concerns about Anthropic's position in the enterprise AI market.
Why it matters
GPT-6 Astra accounted for about 13% of enterprise AI spending tracked by corporate expense platform Ramp, compared to about 8% for Anthropic's Claude Fable. This shift in market share highlights the competitive pressure Anthropic faces.
Despite the competitive challenge, Anthropic maintains a significant revenue advantage. Its annualized revenue run rate exceeded $65 billion by the end of July 2026, up from about $9 billion at the end of 2025. OpenAI's annualized revenue run rate passed $40 billion in July 2026.
Anthropic is also facing competition from open-source and open-weight models, which can reduce token costs and allow companies to build more AI infrastructure internally. This broader competitive landscape adds to the pressure on Anthropic to innovate and maintain its market position.
Key facts
- Anthropic is considering launching a new AI model to compete with OpenAI's GPT-6 Astra, according to Reuters.
- GPT-6 Astra accounts for about 13% of enterprise AI spending tracked by Ramp, compared to 8% for Anthropic's Claude Fable.
- Anthropic's annualized revenue run rate exceeded $65 billion by the end of July 2026, up from about $9 billion at the end of 2025.
- OpenAI's annualized revenue run rate passed $40 billion in July 2026.
- Anthropic is evaluating the safety of its next model and the investment required against the need to improve profitability.
- Anthropic is expanding its AI ambitions beyond software, establishing a wet laboratory in the San Francisco Bay Area for physical biology experiments.
- Anthropic has launched Claude Science, acquired Coefficient Bio, and is exploring the use of Claude to direct robotic systems carrying out laboratory experiments.
- Anthropic is preparing for a potential IPO that could value the company at as much as $2 trillion, but has delayed earlier plans and could push the offering until after the November U.S. midterm elections.
Context
The AI industry is experiencing rapid growth and increasing competition, with companies like OpenAI and Anthropic vying for market share in the enterprise sector. The development of increasingly capable AI models raises both opportunities and challenges, including safety concerns and the need for sustainable profitability.
Anthropic's consideration of a new AI model comes at a time when the company is also expanding its ambitions beyond software, venturing into physical biology experiments and life sciences. This diversification could provide new avenues for growth and innovation.
The potential IPO of Anthropic, which could value the company at up to $2 trillion, highlights the significant stakes in the AI industry. However, the company's decision to delay the offering until after the U.S. midterm elections suggests a cautious approach to navigating the competitive and regulatory landscape.
