The artificial intelligence industry is undergoing a fundamental shift: value is moving from providers of computing power, such as Nvidia, to model developers (Model Labs). This process is accelerating due to the development of Agentic AI—autonomous agents that transform raw computation into high-margin intelligent services.
What Happened
A transition is occurring from a compute-centric economy to an agent-centric economy. The development of Agentic AI allows companies like Anthropic to increase gross margins from 38% to over 70%, despite the overall decline in the cost of producing tokens themselves. Meanwhile, Nvidia maintains growth potential through the implementation of the Vera Rubin architecture and SOCAMM modular memory.
Context
Previously, the bulk of profits were accumulated by infrastructure players providing the growth in computing power. However, the emergence of autonomous agents capable of performing complex tasks sharply increases the economic utility of every generated token, changing the capital intensity structure of the entire AI stack.
Why It Matters for the Industry
For the industry, this means a redistribution of focus for investors and developers from pure FLOPs scaling to enhancing agentic capabilities and model reliability. A new market structure is forming where profitability will be determined by the level of autonomy and the ability of systems to perform specific business tasks, rather than just the low cost of text generation.
Why It Matters for Users
For users and product developers, this signifies a transition from interacting with simple chatbots to using systems that do not just answer questions but perform real actions. The future of AI lies in creating tools where value is measured not by the cost per token, but by the efficiency of task completion (value per task).
What Is Not Yet Known / Limitations
No explicit technical or economic contradictions have been identified in the current data; the discussion is complementary regarding different aspects of the process.
Sources
Author
Look at AI, Editorial Staff