By any measure, Sam Altman has become one of the most influential figures shaping the future of technology. As CEO of OpenAI, Altman is helping steer a transformation that could redefine how businesses operate, how knowledge work is performed, and how intelligence itself is delivered to the world.
Recently, Altman spoke at BlackRock’s U.S. Infrastructure Summit in Washington, D.C., where he discussed the rapid adoption of artificial intelligence in business, the ongoing pursuit of artificial general intelligence, and OpenAI’s massive $110 billion funding round. His remarks highlighted the extraordinary pace at which AI is scaling and his vision of a future where intelligence becomes a ubiquitous, on-demand utility.
Before leading OpenAI, Altman built a reputation as one of Silicon Valley’s most influential startup mentors. As president of Y Combinator, he helped scale the renowned startup accelerator and advised companies that would go on to reshape entire industries. Today, his focus is far larger, building the systems and infrastructure that could power a global age of artificial intelligence.
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According to Altman, artificial intelligence has recently crossed a crucial milestone. For years, AI’s potential seemed impressive but distant. Now, he says, it has entered a phase of real economic utility. Across industries, from coding to scientific research, AI systems are increasingly performing tasks that once required highly trained professionals. In many cases, workers are shifting from doing the work themselves to managing teams of AI agents capable of completing complex assignments.
Altman believes the industry is moving quickly up a steep curve of capability. At present, AI systems can reliably handle tasks that might take a human several hours. Soon, he expects them to manage projects lasting days or even weeks. Eventually, AI systems may operate continuously in the background, connected to personal workflows or company data, proactively solving problems and generating insights. In that world, AI would function much like a team of highly skilled employees working around the clock.
The rise of AI is already reshaping how companies are built. In previous generations of technology startups, founders focused on hiring large teams to scale their operations. Today, many startups are asking a different question. Instead of focusing on headcount, they are asking how much computing power they can access. Compute, the processing power used to train and run AI systems, has become the most critical resource in the emerging AI economy.
This shift signals a new blueprint for modern companies. AI systems can dramatically amplify productivity, allowing smaller teams to accomplish far more work than was previously possible. Even large corporations are beginning to feel the impact. Engineering and product teams are planning to release far more output each year than they once could.
Altman has long been associated with the pursuit of artificial general intelligence, often referred to as AGI, the point at which machines can perform most cognitive tasks as well as humans. Yet he cautions that the definition of AGI is widely debated and may be less important than the broader trends unfolding today.
Instead, he points to two milestones that may indicate the arrival of a new era. The first is when more of the world’s cognitive capacity exists inside data centers than outside them. The second is when leaders such as CEOs, government officials, and scientists find it impossible to perform their roles without heavy reliance on AI. In that future, humans would remain responsible for judgment and decision-making, but they would increasingly supervise networks of AI systems performing large portions of the analytical work.
To support this vision, OpenAI is investing heavily in infrastructure. The company recently secured a massive funding round backed by partners including Amazon, Nvidia, and SoftBank. Much of the investment is being directed toward building the computing capacity required to train and deploy increasingly powerful AI models.
Altman often describes the future of AI in terms similar to electricity or water. Intelligence, in his view, will become a widely available utility that people can access whenever they need it. In that model, individuals and businesses will pay for AI usage much like they pay for energy, based on the amount of computing power they consume. Altman frequently summarizes this concept with a simple idea that has become widely quoted in the industry: compute is revenue.
The digital simplicity of AI systems hides an enormous physical infrastructure. Behind every AI query lies a vast network of mega-scale data centers packed with specialized processors and connected to powerful energy systems. Constructing and operating these facilities requires thousands of workers and billions of dollars in investment. Altman has described visiting these sites as one of the most remarkable aspects of his work. Inside these massive complexes, clusters of GPUs can be activated with a single command, launching huge computations that train the next generation of AI models.
The growth of AI also raises an important challenge, energy demand. Training and running advanced models requires enormous amounts of electricity. Altman believes the world will eventually expand its energy production capacity through a combination of solar power, natural gas, nuclear fission, and potentially nuclear fusion. At the same time, rapid improvements in efficiency are already transforming the industry. Newer models can often produce the same results as earlier systems at dramatically lower cost, sometimes by factors approaching a thousand times cheaper.
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OpenAI is also working on developing its own specialized chips designed specifically for inference, the stage where trained models generate answers for users. Training models requires enormous computational resources, often running for weeks or months. Inference happens constantly as users interact with AI systems. Optimizing chips for that stage could significantly reduce energy consumption and cost, particularly as AI agents become more widespread.
Altman also emphasized that the rise of AI will depend heavily on skilled workers who build and maintain the physical infrastructure behind it. Data centers, transmission systems, cooling technologies, and power facilities require electricians, engineers, technicians, and construction workers. The expansion of AI infrastructure could create a new wave of high-skilled industrial jobs while laying the foundation for the next generation of economic growth.
Altman’s broader vision centers on a single idea, that intelligence could become abundant. Instead of being limited by human expertise or organizational size, companies and individuals could draw on vast networks of AI systems capable of analyzing problems, generating solutions, and accelerating innovation. If that future unfolds as he predicts, intelligence itself may become one of the most widely accessible resources in human history.
