AI has officially entered every possible sector and industry there is. In a recent interview on No Priors, NVIDIA chief Jensen Huang expressed an inspiring vision for the future of AI integration across fields. “Nothing will be left behind. We’re going to take everybody with us,” he added.
He emphasised the transformative impact of AI on various scientific and engineering fields, underlining that its influence is universal and far-reaching.
“Everything from quantum computing to quantum chemistry…every field of science is involved in the approaches that we’re talking about,” said Jensen, stating that breakthroughs in AI and machine learning are changing the way all scientific domains operate.
He further predicted a rapid shift, saying, “If we give ourselves a couple of years…the world’s going to change. There’s not going to be one paper, one breakthrough in science, one breakthrough in engineering where generative AI isn’t at the foundation of it.”
AI Will Make Chips in the Future
Huang discussed the future role of AI employees in industries, particularly in chip design and research, and how they will reshape key business functions, including marketing and supply chain management.
“I’m hoping that NVIDIA is someday biologically bigger, but also, from an artificial intelligence perspective, much, much bigger,” said Huang, saying that NVIDIA already has AI chip designers and AI software engineers.
He sees chip design as the most important area for AI development, saying that AI chip designers could tackle some of the most complex challenges in the field. Huang said that NVIDIA currently works with engineers from Synopsys and Cadence. However, he added that in the future, NVIDIA will work with AI engineers trained by them.
“I totally imagine them having Synopsys chip designers that I can rent, and they’ve trained an AI to be incredibly good at it. We’ll just hire a whole bunch of them whenever we need,” Huang explained.
SaaS is Sitting on a Gold Mine
Looking beyond chip design, Huang spoke about the future of SaaS platforms, suggesting that rather than being disrupted, they will thrive by incorporating AI agents. “These platforms are sitting on a gold mine,” he said. “There’s going to be a flourishing of agents that are specialised in Salesforce, specialised in SAP, and other platforms.”
Huang believes these AI agents will work together to solve problems more efficiently, collaborating across various tools and systems.
Huang also highlighted the growing impact of AI on scientific fields, emphasising that AI and machine learning are set to transform areas such as quantum chemistry, theoretical math, and computer science.
Reflecting on past milestones in AI development, including breakthroughs in computer vision, Huang said, “I saw the early indications of it… and we were fortunate to have extrapolated from what was observed to be detecting cats to superhuman levels of capabilities in object recognition.”
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