Nvidia’s CEO Forecasts Chip Sales to Double Amid AI Surge

When Jensen Huang stepped onto the stage in Scotland, the air was thick with the buzz of AI‑centric chatter. The Nvidia chief, always ready with a bold headline, told reporters he expects the firm’s chip sales to be twice what they are this year. "I expect Nvidia to sell twice as many chips as we do this year," he said, his voice steady but clearly excited.

The prediction came just before a gathering that felt more like a royal‑court affair than a tech briefing: King Charles III was in attendance, flanked by reps from Google DeepMind, OpenAI and Anthropic. Their shared agenda? A frank discussion about AI safety, a subject that’s suddenly feeling a lot more urgent.

Why such optimism? Huang pointed to AI’s ever‑growing economic footprint. "AI is contributing to almost every industry, in virtually every country we operate," he explained. "People are investing in AI like never before, and that translates into demand for the hardware that powers it."

Even though Nvidia doesn’t release exact unit numbers, the company’s flagship data‑center GPUs—think the Blackwell and Rubin families—are the workhorses behind today’s most demanding models. Last fall, Huang noted, Nvidia shipped around six million Blackwell GPUs over four quarters. If that pace accelerates, hitting the double‑sales mark doesn’t seem far‑fetched.

The buzz isn’t just hype. During Nvidia’s last earnings call, CFO Colette Kress highlighted a 70 % revenue outlook for fiscal 2028, and Huang himself added that actual demand could be “much greater than 70 %.” He painted a picture of a “golden age” of AI labs, startups, and open‑model ecosystems all scaling in parallel. The supply chain, he said, is finally transparent enough to make such forecasts with confidence—something that was barely imaginable a year ago.

Of course, Nvidia’s product suite stretches well beyond the headline‑grabbing GPUs. The company also makes CPUs, high‑speed switch chips, optical networking silicon, and even the Jetson modules that end up in robots and autonomous vehicles. One of its lesser‑known chips even lives inside Nintendo’s upcoming Switch 2 console.

When asked about the safety side of things, Huang was measured. "If a product isn’t safe, we hold it back and keep engineering it," he said, underscoring the delicate balance between rapid innovation and responsible deployment.

The message was clear: AI isn’t just a fad—it’s reshaping economies, and Nvidia wants a front‑row seat. Whether the chip‑doubling forecast materializes will depend on how quickly AI applications multiply and how well the industry can keep safety in check.