Nvidia leads technological advances in AI: three key transformations according to Jensen Huang

During his speech at the Davos Forum, Jensen Huang, CEO of Nvidia, presented a detailed analysis of the technological advances that are redefining the landscape of artificial intelligence. His speech emphasized how the sector has undergone a comprehensive transformation in recent months, overcoming limitations that seemed insurmountable just a year ago.

From Artificial Reasoning to AI Agent: the First Milestone in Technological Advances

The first technological breakthrough Huang highlighted was overcoming the initial limitations of AI models. While these systems used to generate false information regularly, the industry has witnessed a decisive change. Current models now demonstrate fundamental capabilities such as complex reasoning, strategic planning, and answering questions without the need for task-specific training.

This evolution has catalyzed the birth of the AI Agent, systems that can operate autonomously across different research fields. What began as a theoretical limitation has become a gateway to revolutionary practical applications.

The Open Ecosystem: DeepSeek and the Democratization of Models

The second decisive technological advance was the proliferation of open-source models. Huang identified the launch of DeepSeek as a crucial moment that marked a before and after in the industry. This inference model was the first to democratize access to advanced AI capabilities.

Since then, the open model ecosystem has expanded exponentially. Companies, research institutions, and educational centers can now implement these solutions for customized applications. This openness has generated a multiplier effect that accelerated innovation across multiple sectors, enabling organizations of any size to participate in the AI revolution.

Physical AI: Understanding the Universe Beyond Language

The third pillar of technological advances identified by Huang is Physical AI, a category that transcends understanding of natural language. These systems now incorporate understanding of the physical world at their core.

Physical AI demonstrates unprecedented capabilities in fields such as understanding biological proteins, chemical processes, and complex physical phenomena. Models can process abstract concepts like fluid dynamics, particle physics, and even quantum physics. This evolution represents a qualitative leap that opens new possibilities in scientific research, pharmaceutical development, and materials design.

The Impact of These Technological Advances on the Industry

The three technological advances presented by Nvidia’s CEO reflect an accelerated maturation of the sector. What seemed speculative a year ago now translates into tangible applications. The industry is entering a phase where AI not only processes information but also generates genuine knowledge across multiple domains.