He said the basic research unit was not affordable and needed to be downsized. He was quite concerned about IBM’s software business, mainframe business, and midrange products. As I look back at my notes, it is clear he understood most, if not all, of the business issues we tackled over the ensuing years. What’s striking from my notes is the absence of any mention of culture, teamwork, customers, or leadership—the elements that turned

out to be the toughest challenges at IBM…

I went home with a deepening sense of fear. Could I pull this off? Who was going to help me?

I think it would have been absolutely naïve—as well as dangerous—if I had come into a company as complex as IBM with a plan to import a band of outsiders somehow magically to run the place better than the people who were there in the first place. I’ve entered other companies from the outside, and based on my experience, you might be able to pull that off at a small company in a relatively simple industry and under optimal conditions.

Coxe and Stevens agreed that it was Huang, specifically, rather than Nvidia’s proposal that attracted their attention. “The reason we backed these dudes is because they were world-class computer scientists,” Coxe said. “The average CEO will try to listen to the customer, but in computing, that’s a big mistake, because customers just don’t know what’s possible. They just don’t know what can be done!” Coxe observed that Intel and Microsoft had later struggled under more conventional management: “Jensen, from the beginning, was a world-class engineer who could see what was possible.

Huang had managed to stay ahead of his competitors so far, but his asset-light “merchant” business was essentially just a collection of engineers sitting around a Silicon Valley office park. If those engineers weren’t constantly developing new, difficult-to-replicate technology,

manufacturers in Asia would start knocking off his chips, and Nvidia would cease to exist. “If we don’t reinvent computer graphics, if we don’t reinvent ourselves, and we don’t open the canvas for the things that we can do on this processor, we will be commoditized out of existence,” Huang later said. Not to gamble was the biggest risk of all.

Disruptive technologies, Christensen had observed, often grew out of hobbyist communities. They were developed using “bootlegged resources” in which “off-the-shelf components” were redeployed for something other than their intended purpose. They started out wonky but rapidly improved along attributes of performance that established players ignored.

But even once you had absorbed this lesson, it wasn’t easy to implement. Pursuing niche markets cost profits, making investors question your sanity. This, too, Christensen had foretold: “One of the reasons managers at established firms find it difficult to serve emerging markets is that their investors and customers tell them not to.”

That was the real secret of The Innovator’s Dilemma, which readers often missed. It was not a book about how to succeed; it was a book about how not to fail. Christensen’s book wasn’t a how-to for start-ups but a counterinsurgency manual for senior managers at stagnating firms. Thirteen years in, Huang felt that Nvidia was at risk of becoming such a firm, and it was as much paranoia as optimism that led him to pursue the mad-science market.