According to Jensen Huang, CEO of Nvidia Corp., artificial intelligence has eliminated the “digital divide” by enabling anyone to program computers simply by speaking to them.
As a significant supplier of chips and computer systems for artificial intelligence, Nvidia has soared to become the most valuable listed semiconductor firm in the world.
The business last week predicted second-quarter sales to exceed Wall Street projections by more than 50% and announced it was increasing supply to keep up with rising demand for its artificial intelligence chips, which enable ChatGPT and numerous other services similar to it.
Huang, who was born in southern Taiwan before his family immigrated to the United States when he was a young child, said AI was driving a revolution in computing while addressing thousands of attendees at the Computex convention in Taipei.
He declared in a speech that “there’s no doubt we’re in a new computing era,” sprinkling Mandarin or Taiwanese terms here and there to the amusement of the audience.
Artificial intelligence most certainly qualifies because “every single computing era you could do different things that weren’t possible before,” Huang continued.
The learning curve for programming is really low. The digital divide has been eliminated. You only need to speak to the computer now to become a coder, he said.
“The reason it’s expanding so quickly is that it’s so simple to use, which contributes to the rate of advancement. There will be a direct impact on every industry.
Nvidia’s CPUs have facilitated the addition of human-like chat functionality to search engines like Bing by businesses like Microsoft Corp.
Huang showed off what AI was capable of, instructing the software to create a brief pop song praising Nvidia with just a few phrases.
In addition to many new uses, he also announced a collaboration with WPP, the largest advertising company in the world, to develop generative AI-enabled content for digital advertising.
Elon Musk, the CEO of Tesla Inc., who is purportedly developing an artificial intelligence firm, said last week that graphics processing units (GPUs) are “considerably harder to get than drugs” in an interview, indicating that Nvidia has struggled to keep up with demand for its AI chips.
