Anthropic: We Don’t Engage in Price Wars, Only Valuable Business
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By:硬AI
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- Anthropic Chief Commercial Officer says they will not engage in a price war, focusing instead on enterprise customer value and refined operations.
Anthropic's Chief Commercial Officer made it clear they will not participate in AI industry price competition and will shift focus to extracting value from enterprise customers.
On September 3rd, according to Bloomberg, citing sources, Anthropic is expected to complete $15 billion in debt financing before its IPO. This round is led by Morgan Stanley, with Goldman Sachs, JPMorgan Chase, Citigroup playing major roles, and Barclays and Wells Fargo also participating.
This financing scale highlights strong confidence from investors in the AI company's pre-IPO prospects. In a recent interview, Anthropic's Chief Commercial Officer, Paul Smith, said:
I have no interest in buying market share through price cuts; I would rather focus on customers and how they derive maximum value from our models.
Analysts believe this stance is in response to OpenAI’s repeated price reduction strategies for its models this summer.
Pricing Position: Value First, Refusal to Follow Price Cuts
This summer, OpenAI cut prices for several AI models, a move widely seen as a response to low-priced competition from U.S. and Chinese developers. As a recognized leader in capabilities, Anthropic has chosen a completely different path.
Paul Smith joined Anthropic over a year ago, leading the company's enterprise sales strategy. He emphasized that the core of the pricing strategy is customer value. Paul Smith said:
This isn’t about price cuts or anything else, but about how we create value for our customers.
Just days after the interview ended, Anthropic released a new model, Fable 5.1, focusing on programming and scientific tasks, with pricing unchanged from the previous version.
However, in specific cases, such as when models process information previously handled, the company moderately reduced user costs.
According to Wallstreet Insights, input and output prices for Fable 5.1 remained unchanged, but the price for cache reads dropped by 75%. Based on Anthropic’s calculations, overall costs for typical workloads fell about 25% compared to Fable 5, and costs for complex coding and highly agent-driven tasks could drop up to 45%.
For Anthropic and OpenAI, the aggressiveness of their pricing strategies may be a key variable in their plans to go public in the coming months.
Enterprise Growth: From Rapid Expansion to Refined Operations
Over the past year, Smith has tripled the size of Anthropic's sales team, and the company's annualized revenue forecast has grown more than tenfold during this period.
From the enterprise adoption path, Smith described a typical two-stage pattern. In the initial phase, enterprises tend to loosen permissions and encourage employees to try the product broadly to overcome organizational inertia; later, enterprises tighten management, refining control over how different roles and functions use AI tools and allocate budgets.
Smith said:
In almost every case, they’re still growing, still increasing investment in Anthropic, still using more Claude, but at this new stage, their usage is more controllable. This is simply the natural maturation in organizational learning, and the overall growth trajectory remains strong.
Recent data from Yipit and Ramp shows that Anthropic's enterprise sales growth is still rising, but at a slower pace than the peak period during the Claude Code boom. Smith does not shy away from this, describing it as the normal rhythm of the enterprise adoption cycle.
Product Strategy: Cowork Catching up with Claude Code
On the product side, Smith gave an updated assessment of the competitive landscape for the two core products.
Claude Code achieved rapid internal penetration among organizations, thanks to the high autonomy of developer groups; for the more general use Claude Cowork, although its early growth once outpaced Claude Code, implementation in enterprises is more complex.
Smith explained:
The people using Claude Code are highly autonomous; software engineers can often scale very quickly, sweeping through entire organizations.
By contrast, Cowork’s target users—such as finance teams, legal departments, researchers, and other knowledge workers—require more customized integration support and a supporting partner ecosystem.
Smith said:
98% of enterprise users are not software engineers, and we still have many AI application scenarios to unlock on the enterprise side.
He said that Anthropic is continuing to invest in building enterprise-level features to meet large institutions’ needs in permission management, data privacy, and tiered role access.
On the IPO topic, Smith was cautious, refusing to comment on the IPO timeline, but emphasized that going public would not change the company's operational logic. He said:
This is not the end, just an event. It will not change the way we operate. Our mission and business operations will not change in any way.
Anthropic's Chief Commercial Officer made it clear they will not participate in AI industry price competition and will shift focus to extracting value from enterprise customers.
On September 3rd, according to Bloomberg, citing sources, Anthropic is expected to complete $15 billion in debt financing before its IPO. This round is led by Morgan Stanley, with Goldman Sachs, JPMorgan Chase, Citigroup playing major roles, and Barclays and Wells Fargo also participating.
This financing scale highlights strong confidence from investors in the AI company's pre-IPO prospects. In a recent interview, Anthropic's Chief Commercial Officer, Paul Smith, said:
I have no interest in buying market share through price cuts; I would rather focus on customers and how they derive maximum value from our models.
Analysts believe this stance is in response to OpenAI’s repeated price reduction strategies for its models this summer.
Pricing Position: Value First, Refusal to Follow Price Cuts
This summer, OpenAI cut prices for several AI models, a move widely seen as a response to low-priced competition from U.S. and Chinese developers. As a recognized leader in capabilities, Anthropic has chosen a completely different path.
Paul Smith joined Anthropic over a year ago, leading the company's enterprise sales strategy. He emphasized that the core of the pricing strategy is customer value. Paul Smith said:
This isn’t about price cuts or anything else, but about how we create value for our customers.
Just days after the interview ended, Anthropic released a new model, Fable 5.1, focusing on programming and scientific tasks, with pricing unchanged from the previous version.
However, in specific cases, such as when models process information previously handled, the company moderately reduced user costs.
According to Wallstreet Insights, input and output prices for Fable 5.1 remained unchanged, but the price for cache reads dropped by 75%. Based on Anthropic’s calculations, overall costs for typical workloads fell about 25% compared to Fable 5, and costs for complex coding and highly agent-driven tasks could drop up to 45%.
For Anthropic and OpenAI, the aggressiveness of their pricing strategies may be a key variable in their plans to go public in the coming months.
Enterprise Growth: From Rapid Expansion to Refined Operations
Over the past year, Smith has tripled the size of Anthropic's sales team, and the company's annualized revenue forecast has grown more than tenfold during this period.
From the enterprise adoption path, Smith described a typical two-stage pattern. In the initial phase, enterprises tend to loosen permissions and encourage employees to try the product broadly to overcome organizational inertia; later, enterprises tighten management, refining control over how different roles and functions use AI tools and allocate budgets.
Smith said:
In almost every case, they’re still growing, still increasing investment in Anthropic, still using more Claude, but at this new stage, their usage is more controllable. This is simply the natural maturation in organizational learning, and the overall growth trajectory remains strong.
Recent data from Yipit and Ramp shows that Anthropic's enterprise sales growth is still rising, but at a slower pace than the peak period during the Claude Code boom. Smith does not shy away from this, describing it as the normal rhythm of the enterprise adoption cycle.
Product Strategy: Cowork Catching up with Claude Code
On the product side, Smith gave an updated assessment of the competitive landscape for the two core products.
Claude Code achieved rapid internal penetration among organizations, thanks to the high autonomy of developer groups; for the more general use Claude Cowork, although its early growth once outpaced Claude Code, implementation in enterprises is more complex.
Smith explained:
The people using Claude Code are highly autonomous; software engineers can often scale very quickly, sweeping through entire organizations.
By contrast, Cowork’s target users—such as finance teams, legal departments, researchers, and other knowledge workers—require more customized integration support and a supporting partner ecosystem.
Smith said:
98% of enterprise users are not software engineers, and we still have many AI application scenarios to unlock on the enterprise side.
He said that Anthropic is continuing to invest in building enterprise-level features to meet large institutions’ needs in permission management, data privacy, and tiered role access.
On the IPO topic, Smith was cautious, refusing to comment on the IPO timeline, but emphasized that going public would not change the company's operational logic. He said:
This is not the end, just an event. It will not change the way we operate. Our mission and business operations will not change in any way.
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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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