Technology is advancing at a rate that much of the world simply isn’t aware of. Behind the scenes, massive advancements in some of the most revolutionary technologies in human history are being made. This means some of the most basic parts of everyday life, like phones and computers, might not be recognizable in just a few years. At the 2025 VivaTech conference in Paris, Nvidia CEO Jensen Huang encapsulated a seismic shift in technology with a succinct statement: “The way you think about computers is going to be fundamentally different in the future.”
Huang’s words carry significant weight, not only because of his current role, but also due to his track record as a transformative figure in the semiconductor and artificial intelligence (AI) industries. As co-founder and CEO of Nvidia (NVDA), Huang has steered the company from its humble beginnings in 1993 to its current status as the world’s most valuable semiconductor firm, with a market capitalization exceeding $3 trillion. Under his leadership, Nvidia has become synonymous with the AI revolution, powering advancements in everything from autonomous vehicles to scientific research.
Talking about large language models (LLMs) like ChatGPT, Huang said, “We need 30, 40 times more performance because the reasoning models are talking to themselves. Instead of one-shot ChatGPT, it's now a reasoning model, and it generates a ton more tokens.” Huang continued, “Those thinking models, reasoning models achieve incredible performance, but they require a lot more computational capability. And the net result? NVLINK 72 with Blackwell's architecture.”
Huang’s perspective is particularly authoritative given his direct involvement in the development of cutting-edge hardware, such as Nvidia’s new Blackwell chips. These chips, unveiled as part of the GB200 NVL72 system, represent a leap in computational performance, specifically designed to meet the demands of next-generation AI models. The Blackwell architecture enables unprecedented speed and efficiency, supporting the complex reasoning and multi-step problem-solving capabilities that define modern AI systems.
Huang believes that AI is largely limited by the hardware and its processing capabilities. Nvidia’s NVLINK, Blackwell architecture, and NVLink Spine have a bandwidth of 130 terabytes per second, which is “more than the data rate of the peak traffic of the world’s entire internet traffic,” according to Huang. This is just in a single $3 million system, Nvidia’s GB200 NVL72 rack, and giants like OpenAI, Microsoft (MSFT), Google (GOOGL) (GOOG), and others could own dozens, or hundreds, of these around the world. This shows the scale at which the internet and AI will operate in the near future.
The context of Huang’s statement centers on the rise of “reasoning models” in AI — systems that go beyond simple input-output tasks to engage in processes akin to logical deduction, planning, and self-reflection. Unlike traditional language models, these advanced systems can break down problems, explore multiple solutions, and even critique their own outputs, all of which require exponentially greater computational resources. Nvidia’s Blackwell chips, with their enhanced processing power and high-speed interconnects, are engineered to support these demanding workloads, making real-time, large-scale AI reasoning feasible for enterprises and research institutions alike.
Huang’s journey from modest beginnings in Taiwan and the United States to becoming one of the world’s most influential technology leaders strengthens his credibility. His early recognition of AI’s transformative potential and relentless pursuit of innovation have positioned Nvidia at the forefront of the industry. As AI systems evolve to perform increasingly sophisticated reasoning tasks, Huang’s assertion that our relationship with computers will fundamentally change is not just a prediction — it is a roadmap shaped by his decades of leadership and technical expertise.
In a world where AI is rapidly reshaping industries and daily life, Huang’s vision serves as both a reflection of current trends and a guide for the future. The era he describes is one where computers are not just tools, but collaborative partners in reasoning and discovery — a future that Nvidia’s latest technologies are poised to enable
