Intel’s years of missteps leave it fighting for survival in the Nvidia-dominated AI era

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Henry V had Agincourt. Gen. Robert E. Lee had Gettysburg. And Intel CEO Pat Gelsinger has Chandler. That would be Chandler, Ariz., outside Phoenix, where Intel is investing nearly $30 billion to build two state-of-the-art semiconductor plants, or fabs, that will be the first to use the company’s newest chipmaking process. It’s here, in Chandler, where Gelsinger’s fate—and likely that of the company he leads—will be decided.

Gelsinger, who was named CEO in 2021, has essentially bet the company on 18A, a new chipmaking process. He hopes it will position Intel as a viable alternative to Taiwan Semiconductor Manufacturing Co. (TSMC), the world’s leading contract manufacturer of chips.

The reason for Intel’s struggles is clear: It fell victim to a classic innovator’s dilemma—not once but twice. First, early in the 21st century, its preoccupation with producing chips for PCs and data centers led it to miss the smartphone revolution. Then, in the past decade, it missed the emergence of chips designed for artificial intelligence.

Intel rival Nvidia took a type of chip originally designed for the demands of video games, the graphics processing unit (or GPU), and turned it into the workhorse for training and running AI models. Now the generative-AI boom has made Nvidia one of the world’s most valuable companies, worth more than $3 trillion, compared with Intel’s relatively paltry $84 billion.

Gelsinger is racing to reverse Intel’s slide by repositioning the company around manufacturing excellence, while also trying to establish Intel as a player in the market for AI chips. Many are skeptical he can pull it off and fear the company may be in permanent decline.

Intel wound up in such dire straits owing to missteps in its core business for central processing units (CPUs), in which it was once the unrivaled king. Production delays and problems in its own fab facilities have let rival AMD steal significant market share.

Distracted while trying to fix these issues, Intel failed to see the extent to which graphics chips would come to dominate the market for AI. Instead, it thought AI would be run on systems that still had CPUs at their heart.

“The strategy has been to fix the core business and don’t worry about the ancillary stuff,” says Alan Priestley, a Gartner vice president analyst. “GPUs were the ancillary stuff.”

Even after Intel belatedly recognized the fast-growing market for AI-specific chips, it bungled its efforts to get into the AI game. In 2019, it announced its own GPU design for AI called Ponte Vecchio. But the design was complicated, requiring three different fab processes to make, and expensive. Worse, its performance couldn’t match that of Nvidia’s chips. This year, Gelsinger shelved Ponte Vecchio in favor of a new design due in 2025.