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'Move faster': Nvidia's Jensen Huang has an AI message for India, the world's leading IT power
Nvidia CEO Jensen Huang has urged India to move faster in the artificial intelligence race and build a strong domestic AI economy by leveraging its established IT sector. Speaking at the G20 Innovation Ministerial, Huang also called for practical AI regulation focused on actual harm, while stressing that technology companies must prioritise safety as AI systems become more capable. Nvidia CEO Jensen Huang has urged India to accelerate its adoption and development of artificial intelligence, saying the country has a strong opportunity to build a domestic AI economy by leveraging its decades-old information technology industry. Speaking to reporters on the sidelines of the G20 Innovation Ministerial, Huang said the rapid pace of AI development meant countries could not afford to move slowly. "AI is moving fast, so every country has to move faster," Huang told IANS. India has a strong starting pointHuang described India as one of the world's leading IT powers and said the emergence of AI represented the start of a new technology platform. For India, he said, this could create an opportunity to build on the expertise and infrastructure developed by its existing technology sector. "India is one of the world's leading IT industries, and this is the beginning of a new IT platform," Huang told IANS. View this post on Instagram A post shared by IANS News (@ians_india) He also recalled an earlier interaction with Prime Minister Narendra Modi, saying he had discussed AI with him about a decade ago. Now, Huang said, he was keen to see Indian companies and start-ups turn that early interest into businesses, products and technologies. "I'm really anxious to see and very excited to see the local companies and the local startups starting in India, starting to take advantage of the technology," he said. According to Huang, the next step is for these businesses not only to use AI but also contribute to its development and help create a local ecosystem around the technology. AI is becoming economic infrastructureHuang said AI should no longer be viewed simply as another emerging technology. It is increasingly becoming part of the infrastructure needed to build modern economies. He pointed to the US approach, where companies are working across the AI technology stack, but said other countries did not necessarily have to replicate the entire system. Instead, nations could choose the technologies and components that best suited their own requirements. The US, he said, wanted other G20 nations to adopt AI and use it to develop their own AI economies. For India, that could mean an opportunity to combine its existing software and IT capabilities with AI computing, applications and start-ups. Nvidia CEO cautions against over-regulationHuang also weighed in on one of the biggest debates surrounding AI: how governments should regulate the technology. His advice was to focus on real-world risks rather than harms that may never occur. "The advice that I would have is to regulate practical and actual harm and not regulate theoretical and hypothetical harm," he said. Huang argued that AI remains in its formative phase and that regulation should allow the technology to develop while ensuring that genuine risks are addressed. He also said technological progress itself could help make AI systems safer. Drawing a comparison with automobiles, Huang noted that cars have become significantly safer over the past century as engineering and technology improved. The same principle, he suggested, should apply to AI. AI systems are improving, Huang saysHuang said the quality and reliability of AI systems had improved substantially over the past two years. According to him, newer systems are producing fewer hallucinations, becoming more grounded in factual information and showing stronger abilities to handle practical problems. "We need to keep moving in that direction," he said. But he stressed that improving AI capabilities should go hand in hand with safety. Technology companies, he said, have a responsibility to ensure that the systems they develop are safe even as the industry races to build more powerful models. "Every single company has to take it upon themselves to develop the technology safely," Huang said. No discussion on additional semiconductor tariffsHuang was also asked whether he had discussed the possibility of additional US tariffs on semiconductors during the G20 ministerial. He said there had been no such discussion with the US official. "I had no conversation related to that," he said. Why Nvidia matters in the AI race Nvidia was founded in 1993 and initially became known for graphics processing units, or GPUs, used primarily in computers and gaming. The company's role changed dramatically with the rise of AI. Its chips became a key part of the computing infrastructure used to train and run advanced AI systems, helping Nvidia emerge as one of the most important companies in the global AI boom. Huang, who co-founded Nvidia and has led the company since its creation, has consequently become a prominent voice on the future of AI, from computing infrastructure and business opportunities to regulation and safety. His message to India was straightforward: the AI race is moving quickly, and the country needs to move with it.
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Jensen Huang Says AI Is a 'Five-Layer Cake.' Nvidia Is One Slice - NVIDIA (NASDAQ:NVDA)
When Nvidia Corp (NASDAQ:NVDA) CEO Jensen Huang addressed world leaders at the G20, he didn't spend much time talking about GPUs or the company's latest chips. Instead, he offered a simple framework for understanding the AI economy: a "five-layer cake" that starts with energy, ends with applications, and stretches far beyond Nvidia's core business. For investors, it's a useful reminder that the AI trade isn't one theme -- it's an entire ecosystem. AI Starts With Energy, Not Models "The first thing is to recognize what is AI," Huang said before breaking it down into five layers. "At the lowest layer is energy. You can't produce something without energy. It transforms electricity into mathematics." That first layer is easy to overlook in a market captivated by chatbots and foundation models. Yet Huang argued that electricity sits at the base of the AI economy, followed by chips, "that's the world that I'm in," and then infrastructure -- the land, power and data centers that house AI systems. Only after those three layers come AI models, which Huang noted are "what most people think AI is," and finally data and applications, where businesses generate real economic value. The sequence matters. Huang's argument is that AI isn't simply software running in the cloud. It's a vertically integrated technology stack where every layer depends on the one below it. Tech Nvidia's Next Rally: Another Fourteen Intels in Market Value? If Nvidia were to reach that level from its current price of around $226, its market capitalization would climb to about $12.5 trillion. 2 min read Read this article Nvidia Is One Slice. The Opportunity Is Much Bigger. Huang's framework also broadens the list of potential AI beneficiaries. The first layer -- energy -- could benefit companies involved in electricity generation, grid modernization and power equipment, including Constellation Energy Corp (NASDAQ:CEG), GE Vernova Inc. (NYSE:GEV) and Eaton Corporation, PLC (NYSE:ETN) as AI data centers place growing demands on power infrastructure. The second layer is chips, where Nvidia remains the dominant player alongside companies such as Advanced Micro Devices, Inc (NASDAQ:AMD) and manufacturing partner Taiwan Semiconductor Manufacturing Co. Ltd. (NYSE:TSM). The third layer is infrastructure, covering the physical backbone of AI. That includes power and cooling specialist Vertiv Holdings, LLC (NYSE:VRT), networking companies like Arista Networks, Inc. (NYSE:ANET) and Broadcom Inc. (NASDAQ:AVGO), as well as data center operators Digital Realty Trust, Inc. (NYSE:DLR) and Equinix, Inc. (NASDAQ:EQIX). Above that sit AI models, where companies including Alphabet Inc. (NASDAQ:GOOGL) (NASDAQ:GOOG) and Meta Platforms Inc. (NASDAQ:META) are investing heavily in frontier AI systems. Finally comes applications -- the software businesses that embed AI into everyday workflows. Companies such as Microsoft Corp. (NASDAQ:MSFT), Salesforce Inc. (NYSE:CRM), ServiceNow, Inc. (NYSE:NOW) and Palantir Technologies Inc.(NASDAQ:PLTR) are among those building products that monetize AI for enterprise customers. The Investment Takeaway Huang's "five-layer cake" isn't an investment recommendation -- it's a framework for thinking about where AI spending could flow. His central point was that countries and companies don't have to dominate every layer, but they do need to decide where they want to compete. For investors, the same logic applies. Nvidia may remain the flagship AI stock, but if Huang's vision of AI as critical infrastructure plays out, the winners won't be confined to chipmakers. The next phase of the AI trade could increasingly be driven by the companies that generate the power, build the data centers, connect the networks and deliver AI into real-world applications. Tech Jensen Huang Just Gave Governments an AI FOMO Pitch -- Here's Who Wins Jensen Huang's G20 remarks position AI infrastructure as a national asset, akin to highways or electricity grids. These stocks could benefit. 2 min read Read this article Photo Courtesy: glen photo on Shutterstock.com Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Nvidia: Had benefit of watching PM Modi talk about AI 10 years ago: Nvidia's Jensen Huang
Chapel Hill (North Carolina)Nvidia Chief Executive Jensen Huang has said India must move faster to seize the opportunities offered by Artificial Intelligence (AI), describing the country as one of the world's leading information technology powers and urging its companies and start-ups to build a domestic AI economy. Nvidia Chief Executive Jensen Huang has said India must move faster to seize the opportunities offered by Artificial Intelligence (AI), describing the country as one of the world's leading information technology powers and urging its companies and start-ups to build a domestic AI economy. "AI is moving fast, so every country has to move faster," Huang told reporters on the sidelines of the G20 Innovation Ministerial. Huang said the rise of AI marked the beginning of a new technology platform, creating an opening for India to build on the strength of its established IT industry. "India is one of the world's leading IT industries, and this is the beginning of a new IT platform," Huang told IANS in response to a question. Huang recalled an early conversation with Prime Minister Narendra Modi about the emerging technology. "And I had the benefit of seeing Modi Ji a decade ago, talking about AI," Huang told IANS. "I'm really anxious to see and very excited to see the local companies and the local startups starting in India, starting to take advantage of the technology, contributing to the technology, and then building the local AI economy with it," Huang added. The Nvidia chief said AI had become productive economic infrastructure. While the United States intended to lead by building the entire technology stack, he said other countries should be able to select the components they needed to develop their own AI economies. He said the US administration was supportive of technology development and proud of American companies building within the country. Washington, he added, wanted other G20 countries to adopt the technology and use it to create their own AI economies. Asked about the rules governing AI and innovation, Huang cautioned against regulations based on risks that had not materialised. "The rules of the road, right now the technology is in its formative stages," he said. "The advice that I would have is to regulate practical and actual harm and not regulate theoretical and hypothetical harm." Huang said the technology should continue to advance safely. More sophisticated systems, he argued, could become safer, more practical and more useful. He compared the development of AI with improvements in automobile safety over the past century. "Just as cars today are much safer because the technology is better than the cars were 100 years ago, we need to make the technology as advanced as possible," Huang said. The quality and reliability of AI systems had improved considerably over the past two years, he said. Newer systems were hallucinating less, becoming more grounded in factual information and acquiring a greater ability to solve practical problems. "We need to keep moving in that direction," he said. Huang also placed responsibility on technology companies to ensure that AI was developed safely, even as they competed to build more powerful systems. "Every single company has to take it upon themselves to develop the technology safely," he said. "As we race quickly to make the technology better and more useful and safer, we also build it safely." Huang said he had not discussed the prospect of additional semiconductor tariffs with the US official at the ministerial. "I had no conversation related to that," he said. Nvidia was founded in 1993 and initially became known for graphics processing units used in computers and gaming. Its chips later emerged as a central component of the computing infrastructure used to train and operate artificial intelligence systems. Huang co-founded Nvidia and has served as its chief executive since the company's creation. The company's rapid growth has made him one of the most prominent industry voices in the international debate over AI infrastructure, regulation and safety.
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Jensen Huang's AI FOMO Pitch: Here's Who Wins - NVIDIA (NASDAQ:NVDA)
When Nvidia Corp (NASDAQ:NVDA) CEO Jensen Huang took the stage at the G20, he wasn't unveiling a new chip or discussing quarterly demand. Instead, he reframed artificial intelligence as something far more fundamental: infrastructure. By comparing AI to "water, roads and electricity," Huang made a case that countries risk falling behind economically if they fail to build their own AI capabilities -- a message that could reshape who buys Nvidia's technology in the years ahead. "Every single country needs to build infrastructure so that you could support your own local economy," Huang said at the G20, adding that AI infrastructure is "the great equalizer" and that "the single worst outcome" for any country would be to be left behind. Huang's remarks reflect Nvidia's increasingly public push for what the industry calls sovereign AI -- the idea that countries harness their own AI, computing infrastructure, and data centers rather than relying entirely on foreign platforms. The Winners Extend Beyond Nvidia If governments increasingly treat AI infrastructure as a strategic investment, Nvidia stands to benefit as the leading supplier of AI accelerators. But the spending would not stop with GPUs. Tech Nvidia Controls 92% Of The Sovereign AI Race Nvidia powers 92% of sovereign AI models, highlighting how governments are becoming the next major buyers of AI infrastructure. 2 min read Read this article Large AI data centers require high-speed networking, advanced cooling systems, reliable power equipment and physical facilities. That creates potential opportunities for companies such as: * Arista Networks, Inc (NYSE:ANET) and Broadcom Inc. (NASDAQ:AVGO) in networking * Vertiv Holdings, LLC (NYSE:VRT) and Eaton Corporation, PLC (NYSE:ETN) in power and cooling infrastructure, and * Digital Realty Trust, Inc (NYSE:DLR) and Equinix, Inc. (NASDAQ:EQIX) in data center operations. Huang's comments broaden the investment conversation. If sovereign AI becomes a recurring theme in government budgets, demand could shift from a handful of U.S. hyperscalers to a more diversified mix of public-sector and regional infrastructure projects. The Investment Takeaway Huang's G20 remarks are best understood not as a policy speech but as a roadmap for Nvidia's next addressable market. The key question for investors is no longer whether hyperscalers will keep spending on AI -- it is whether governments begin treating AI infrastructure as essential national infrastructure. The evidence to watch will be concrete commitments rather than rhetoric: national AI budgets, sovereign cloud initiatives, public-private partnerships and large-scale AI data center announcements. If those projects accelerate, the beneficiaries may extend well beyond Nvidia to the broader ecosystem that powers AI infrastructure. Long Ideas Nvidia's Next AI Customers May Be Entire Countries Nvidia's AI boom may be entering a new phase as countries including Canada, KSA, UAE build sovereign AI infrastructure powered by its GPUs. 3 min read Read this article Image via Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Nvidia CEO Jensen Huang Says the 'Single Worst Outcome' for Any Country Is Being Left Behind in AI: Don't
On Wednesday, Nvidia Corp (NASDAQ:NVDA) CEO Jensen Huang urged G20 leaders to embrace artificial intelligence infrastructure and adoption, warning that excessive fear or regulation could leave countries on the sidelines of the next major technological revolution. Jensen Huang's 'Single Worst Outcome' Warning Speaking at the G20 Innovation Ministerial in Chapel Hill, North Carolina, Huang said countries should view AI infrastructure as essential to their economies, much like electricity, roads and the internet. "Every single country needs to build infrastructure so that you can support your own local economy," Huang said. He argued that local AI infrastructure can provide researchers, students, startups and industries with the computing power needed to develop new products and businesses. But Huang said the biggest risk is not necessarily AI itself. "The worst outcome is that you don't take advantage of it, that you are left behind," he said. "That is the single worst outcome." "If we talk about the technology with fear, with uncertainty ... with so much concern, so much fear," the countries won't be able to grow, he said. "It has to be balanced." Markets Jensen Huang Posts On X For The First Time Ever -- And Uses It To Defend Open-Source AI Nvidia CEO Jensen Huang defends open-source AI in first post, saying it strengthens safety, cybersecurity, and innovation. 3 min read Read this article Nvidia CEO Urges G20 to Accelerate AI Adoption Huang said countries do not need to compete across every layer of the AI stack. Instead, governments should determine where they can best participate while encouraging AI adoption across education, health care, manufacturing, science and other industries. Trending He also described AI as more than software. Large language models can become AI agents equipped with memory, retrieval capabilities and tools, eventually powering everything from robots and autonomous vehicles to manufacturing systems and scientific laboratories. The Nvidia CEO said the U.S. is moving aggressively because of its energy policies, regulatory environment and speed of development, stating that nearly $1 trillion could be invested in U.S. infrastructure this year. Jensen Huang Calls for Practical AI Regulation Huang also pushed back against calls for broad AI restrictions, arguing that regulation should focus on measurable risks rather than hypothetical scenarios. "Don't regulate hypothetical theoretical harm, regulate actual and pragmatic harm," Huang said. He added that companies developing AI should take responsibility for making the technology safe while regulators focus on genuine problems. Huang compared the approach to aviation. Airlines are expected to handle safety, while passengers want to focus on where the technology can take them. He said AI remains early in its development and that advances in grounding, accuracy and scientific reliability have already made the technology safer. Price Action: Nvidia closed at $224.41, up 3.21%, Wednesday, with shares at $225.39 in after-hours trading, up 0.44%, according to Benzinga Pro. According to Benzinga Edge Rankings, Nvidia ranks in the 98th percentile for growth and has maintained positive price-trend ratings across short-, medium- and long-term time frames. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Media Nvidia CEO Jensen Huang Says 'First Time' That Chips Have Become An Investable Asset Class as BlackRock, Blackstone and Others Join $500 Billion AI Push Nvidia and six Wall Street giants are targeting $500 billion to finance AI infrastructure as Jensen Huang pitches chips as a new asset class. 3 min read Read this article Photo Courtesy: glen photo on Shutterstock.com Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Nvidia CEO Jensen Huang urged G20 leaders to accelerate AI adoption and build domestic AI infrastructure, warning that being left behind is the worst outcome. Speaking at the G20 Innovation Ministerial in Chapel Hill, he called AI as essential as electricity and roads, while cautioning against over-regulation based on hypothetical risks.
Jensen Huang addressed G20 leaders at the Innovation Ministerial in Chapel Hill, North Carolina, with a stark warning about artificial intelligence: countries must move faster or face economic consequences. The Nvidia CEO positioned AI infrastructure as essential national infrastructure, comparable to water, roads and electricity. "The worst outcome is that you don't take advantage of it, that you are left behind," Huang stated, calling it "the single worst outcome" for any nation
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. His remarks reflect a strategic shift as Nvidia pushes the concept of sovereign AI, where countries build their own computing infrastructure rather than relying entirely on foreign platforms4
.Huang singled out India as having a strong foundation to build a domestic AI economy, describing the country as "one of the world's leading IT industries" positioned at the start of a new technology platform
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. He recalled discussing AI with Prime Minister Narendra Modi a decade ago and expressed eagerness to see Indian companies and start-ups translate that early interest into businesses and products. "I'm really anxious to see and very excited to see the local companies and the local startups starting in India, starting to take advantage of the technology, contributing to the technology, and then building the local AI economy with it," Huang told IANS3
. The message was clear: India should leverage its established IT sector to compete in the AI race, combining existing software capabilities with AI computing, applications and start-ups.
Source: Benzinga
Huang introduced a "five-layer cake" framework to help governments understand where AI spending flows and where they can compete. The vertically integrated technology stack starts with energy at the base—"you can't produce something without energy," he explained—followed by chips, then infrastructure including land, power and data centers
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. Only after these three foundational layers come AI models, which Huang noted are "what most people think AI is," and finally data and applications where businesses generate economic value2
. This framework broadens the list of potential AI beneficiaries beyond chipmakers. Energy companies like Constellation Energy, infrastructure specialists such as Vertiv and Arista Networks, data center operators including Digital Realty Trust and Equinix, and application providers like Microsoft and Palantir all stand to benefit as AI infrastructure becomes a national priority2
.By positioning AI infrastructure as essential to economic competitiveness, Huang is effectively expanding Nvidia's addressable market from hyperscalers to governments worldwide. The U.S. is moving aggressively with nearly $1 trillion potentially invested in infrastructure this year, driven by favorable energy policies and regulatory environments
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. Huang emphasized that countries don't need to replicate the entire U.S. technology stack. Instead, nations can select components that suit their requirements while building sovereign cloud initiatives and domestic capabilities. "Every single country needs to build infrastructure so that you could support your own local economy," he said, describing AI infrastructure as "the great equalizer"4
. This sovereign AI approach could shift demand from a handful of U.S. hyperscalers to a more diversified mix of public-sector and regional infrastructure projects.Related Stories

Source: Benzinga
On AI regulation, Huang took a firm stance against excessive restrictions. "The advice that I would have is to regulate practical and actual harm and not regulate theoretical and hypothetical harm," he told reporters
1
. He argued that AI remains in formative stages and that regulation should allow the technology to develop while addressing genuine risks. Drawing a comparison with automobiles, Huang noted that cars became significantly safer over the past century as engineering improved, suggesting the same principle applies to AI. "If we talk about the technology with fear, with uncertainty ... with so much concern, so much fear," countries won't be able to grow, he warned5
. He placed responsibility on technology companies to develop AI safely while competing to build more powerful systems, stating "every single company has to take it upon themselves to develop the technology safely"3
.Huang reported that AI systems have improved substantially over the past two years. Newer systems are producing fewer hallucinations, becoming more grounded in factual information and demonstrating stronger abilities to handle practical problems
1
. Large language models can now become AI agents equipped with memory, retrieval capabilities and tools, potentially powering robots, autonomous vehicles, manufacturing systems and scientific laboratories5
. "We need to keep moving in that direction," he said, while stressing that improving AI capabilities must go hand in hand with AI safety3
. Watch for concrete government commitments including national AI budgets, sovereign cloud initiatives, public-private partnerships and large-scale data center announcements as indicators of whether Huang's infrastructure pitch translates into action.Summarized by
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