Chasing New Frontiers: We See Anthropic as Well Placed to Capture Value in an AI World
By Google News AI ·
Anthropic is in the business of building and selling intelligence. As such, the firm’s core strategy can be distilled into two equally important and reinforcing parts. First, the firm devotes considerable resources to building, or training, large language models.
Second, once these models are trained, Anthropic sells access to them through a mix of its application programming interface, platform, and first-party applications such as Claude Code and Cowork.
The mutual reinforcement of both training and subsequent monetization happens in an elegant manner. By building new models that unlock new capabilities and workflows, Anthropic can drive adoption and monetization. The dollar inflows from monetization are then channeled back into training the next series of models.
The firm’s monetization engine itself is pretty straightforward, with enterprise-heavy consumption-based revenue, which is governed by how many tokens enterprises consume, supplemented by consumer-leaning subscription revenue, which is priced at a flat monthly subscription fee.
While we understand investor concerns around potential commodification of LLMs that could make Anthropic’s business and financial outlook bleak, we view the future differently. We have a positive outlook on Anthropic’s ability to remain at the frontier of AI model research, demonstrate capability leadership in key domains, and monetize these capabilities primarily by selling to enterprise customers.
Our view that Anthropic will continue to gain market share among enterprise customers is supported by three key factors:
Anthropic is an AI lab focused on building intelligent models that large organizations can deploy, with a key focus on enterprises. Founded in 2021 and based in San Francisco, it is a public benefit corporation, and it sells access through three routes: the Claude Platform for developers, Claude Code for software engineering, and Claude Cowork and Claude.ai for knowledge work and chat.
Anthropic monetizes its AI models through consumption-based revenue, priced on usage, and subscription-based revenue, with subscribers getting access to Claude’s models for a flat subscription-based fee.
We assign Anthropic a Morningstar Economic Moat Rating of narrow, primarily owing to the firm’s intangible assets and cost advantage. We also see emerging customer switching costs and an indirect network effect further bolstering the firm’s competitive advantage.
Although building LLMs is compute and resource-intensive, the firm’s research velocity, enterprise pricing power as well as penetration, and signed multiyear compute deals give us confidence that Anthropic will be able to generate excess returns on invested capital over the next 10 years.
We view Anthropic’s intangible assets, in the form of frontier research know-how, recursive model development, and safety alignment training, as the primary moat source.
On the firm’s AI model research, we have seen Anthropic foster capability leadership in key domains, especially in agentic coding and cybersecurity. This leadership has translated directly into pricing power, with Anthropic’s models priced at a premium to other frontier labs while rapidly scaling enterprise customers. Recursive model development also sharpens the firm’s edge in model research.
Recursive model development is a process in which Claude aids training and testing of new models by running experiments, generating and processing training data, and creating evaluations and…
Originally published by Google News AI
