Jensen Huang tells graduates AI revolution offers chance to reindustrialize America

As workers worry about AI, Nvidia's Jensen Huang says AI is 'creating an enormous number of jobs' | TechCrunch

When it comes to the specter of AI's labor-displacing potential, Jensen Huang thinks that the American worker has nothing to fear. During a conversation Monday night with MSNBC's Becky Quick hosted by the Milken Institute -- an economic policy think tank, the jovial Nvidia CEO said that AI was an industrial-scale generator of jobs, not the harbinger of mass unemployment that so-called "AI doomers" have often accused it of being. A number of different topics were broached during the talk, but a central theme that kept coming back was the ongoing economic anxiety surrounding the AI industry and whether it was something Americans should be legitimately worried about. At one point Quick noted: "This is happening so quickly. Is there a bigger dislocation than we've seen in the past that leads to greater inequality? And what do we do about that?" Throughout the night, Huang struck an optimistic note. "AI creates jobs," Huang asserted during the discussion, adding that "AI is [the] United States' best opportunity to re-industrialize" itself. Huang noted that the AI industry is powered by a new breed of industrial factories -- the kinds producing the hardware that acts as critical infrastructure for the AI business. (Huang's company notably sells a lot of that hardware.) Those factories necessarily need workers, as does the rest of the blossoming AI industry. Just because a specific task is automated, that doesn't mean that a person's entire job is going to be replaced, Huang reasoned. People who believe this "misunderstand that the purpose of a job and the task of a job are related" but not ultimately the same thing, he said. In other words, Huang's argument is that even when AI takes over a discrete task within a role, the broader function that employee serves in an organization is likely to remain. Relatedly, Huang was critical of people who allege AI will dominate humanity or that it will wipe out huge sectors of the economy. "My greatest concern is that we scare...people -- all the people that we're telling these science fiction stories to, to the point where AI is so unpopular in the United States, or people are so afraid of it, that they don't actually engage it," he said. Ironically, much of the "doomer" rhetoric has been generated by the AI industry itself, and critics maintain that such hyperbole has been used as a marketing gimmick designed to gin up buzz and excitement for products that aren't anywhere near the capabilities that such rhetoric suggests. It remains to be seen what kind of long-term impact will have on the overall economy. That said, reputable financial and academic organizations have suggested that as much as 15% percent of jobs in the U.S. will be eliminated over the next several years as a result of AI.

Jensen Huang to CMU's class of 2026: "Your career starts at the AI revolution"

NVIDIA's CEO delivered the keynote at CMU's 128th commencement on Sunday and received an honorary doctorate. The address framed AI as a reindustrialisation moment for the US, and pressed both engineers and policymakers to advance capability and safety in step. NVIDIA founder and CEO Jensen Huang delivered the keynote address at Carnegie Mellon University's 128th commencement on Sunday morning, telling graduates that they were entering the workforce at the beginning of the largest computing-platform shift in history. "I cannot imagine a more exciting time to begin your life's work," he said. The setting suited the argument. Carnegie Mellon's School of Computer Science created the Logic Theorist in the 1950s, widely regarded as the first artificial-intelligence programme, and founded the world's first academic Robotics Institute in 1979. Huang made the lineage explicit. "AI started right here at Carnegie Mellon," he told graduates assembled in the rain at Gesling Stadium. Huang also received an honorary Doctor of Science and Technology from CMU President Farnam Jahanian, one of the university's highest distinctions. The core of the speech was framed around four imperatives that Nvidia's CEO has repeated across several recent venues, applied here to the graduates' own choices. "Advance safely. Create thoughtful policies. Make AI broadly accessible. And encourage everyone to engage." The framing was meant to land on a campus that has produced significant work on both AI capability and AI safety, including in fields where the two cannot be separated cleanly. "Scientists and engineers," he said, "have a profound responsibility to advance AI capabilities and AI safety together." Huang then placed AI within a longer arc of US industrial history. The technology, he argued, is "a once-in-a-generation opportunity to reindustrialize America and restore the nation's capacity to build." The framing aligned with comments he has made in recent earnings calls and at industry events, but Huang sharpened it for the graduates by widening the addressable workforce. AI's benefits, he said, would reach "electricians, plumbers, ironworkers, technicians and all kinds of builders" alongside the technical roles graduates of the host institution are most likely to fill. That distinction has become more central to Nvidia's public communication this year, as US political concern about the AI labour-market effects has intensified. On the question of work itself, Huang drew a careful line between the task and the purpose of a job. "Radiologists," he said, "don't just read scans. They care for patients. AI automates scan reading (the task) but elevates the radiologist: the purpose." The construction is one Huang has used repeatedly in recent quarters and represents Nvidia's reply to the AI-replaces-workers narrative. It is also, in its specifics, easier to assert than to demonstrate. The radiology example holds in some clinical settings and fails in others, where the bottleneck is in fact the diagnostic interpretation step. Huang did not engage with that complexity, which is appropriate for a commencement address but worth noting for readers calibrating how to interpret the framing in other contexts. Huang addressed the political climate around AI directly, although in the carefully diplomatic register that a commencement allows. "Every major technological revolution in history created fear alongside opportunity," he said. "When society engages technology openly, responsibly, and optimistically, we expand human potential far more than we diminish it." He pressed policymakers in the same terms used by Anthropic, OpenAI and Microsoft over the past year: "Policymakers have a responsibility to create thoughtful guardrails that protect society while still allowing innovation, discovery, and progress to move forward." Whether the current US guardrail debate matches that standard is a separate question Huang did not address. The address was personal in places. Huang spoke about his arrival in the United States as a first-generation immigrant, his parents' bet on American opportunity, and what he described as a country "not easy, but full of opportunities. Not a guarantee, but a chance." Then a line that read as half-rhetoric and half-credo: "How can we not be romantic about America?" The phrasing has been a recurring motif in Huang's speeches and tends to land particularly well with audiences carrying immigration stories of their own. It also fits the moment in which Nvidia, having committed Nvidia's $40bn of AI equity bets so far this year, has every commercial interest in framing the company's success as American national renewal as much as private sector achievement. The closing was tighter. Huang invoked Carnegie Mellon's institutional motto and finished with an instruction. "My heart is in the work. So put your heart into the work. Build something worthy of your education, your potential, and the people who believed in you long before the world did." He then waved to graduates on the way off-stage, with several thousand smartphones lifted in the foreground. Huang's commencement-address mode is markedly different from his keynote mode. He has appeared at GTC, Computex, and Davos in the past twelve months, delivering versions of the same five-layer-AI-infrastructure framing, with significantly more theatre and a fondness for product demos that has, in places, included a CGI version of himself. Earlier Huang appearances that leaned harder on theatre have been part of the recent Nvidia presentation language. The CMU speech traded all of that for a more direct register, which is the convention that the venue invited. The arguments remained largely the same. Only the production values changed. For graduates, the practical implications are useful to set out. The world of work most CMU computer-science graduates are entering is structurally different from the one their predecessors graduated into, even three years ago. The first US undergraduate AI degree, which CMU was the first US institution to offer in 2018, has produced its first full cohorts. Job descriptions in machine-learning engineering, alignment research, AI infrastructure operations, and applied AI products are now established categories rather than emerging ones. Hiring across them has been uneven over the past eighteen months, with senior roles in heavy demand and entry-level roles considerably tighter. Huang's framing of an open beginning is correct as a long-run statement; the near-term picture is more competitive than his address acknowledged. The broader question Huang's address raised, but did not need to answer, is what the AI build-out demands of the institutions that train the people who staff it. Carnegie Mellon, MIT, Stanford, and the leading European institutions are all reconfiguring curricula around the technologies that have moved fastest since 2022. Whether that reconfiguration produces the kind of engineers who can advance capability and safety in the integrated way Huang described is partly a question of programme design and partly a question of the labour market the graduates enter. NVIDIA is, on its present trajectory, the dominant private-sector force shaping that labour market. That places a commencement address by Huang somewhere between a benediction and a business communication. The students he addressed will, in many cases, work directly on Nvidia infrastructure or for companies whose own existence depends on Nvidia silicon and capital. The keynote was generous about their prospects and clear about the responsibilities those prospects carry. It is, in its way, a fair description of where this generation of engineers actually finds itself: at the start of a technological era whose dominant company can credibly tell them that their career begins as the era does. The full video of Huang's address is available on Nvidia's official blog post about the event. Carnegie Mellon graduated its 128th class on Sunday afternoon.

'Your Career Starts at the Beginning of the AI Revolution,' NVIDIA CEO Tells Graduates

Delivering the commencement address to Carnegie Mellon University's Class of 2026, NVIDIA founder and CEO Jensen Huang said, 'I cannot imagine a more exciting time to begin your life's work.' "You are entering the world at an extraordinary moment," NVIDIA founder and CEO Jensen Huang told graduates as he delivered the keynote address at Carnegie Mellon University's 128th commencement ceremony on Sunday. "A new industry is being born. A new era of science and discovery is beginning." "No generation has entered the world with more powerful tools -- or greater opportunities -- than you," said Huang, addressing the assembled thousands on a rainy morning at Gesling Stadium on the university's main campus in Pittsburgh, Pennsylvania. "We are all standing at the same starting line. This is your moment to help shape what comes next." After encouraging graduates to turn to their mothers and wish them a happy Mother's Day, Huang drew a direct parallel between starting his career at the beginning of the PC revolution and graduates starting theirs at the beginning of the AI revolution, emphasizing that every major computing platform shift -- PCs, the internet, mobile and cloud -- had led to this shared moment. "But what is about to happen now is bigger than anything before," he said. "Because intelligence is foundational to every industry, every industry will change." As a result, no graduating class is better primed than the present one to press the advantage. "For the first time, the power of computing and intelligence can truly reach everyone and close the technology divide," Huang said. "Now it's your time to realize your dreams -- and the timing could not be more perfect." AI Gives America the Opportunity to Build Again Huang described AI as driving the largest technology infrastructure buildout in human history, and a "once-in-a-generation opportunity to reindustrialize America and restore the nation's capacity to build." The American dream of opportunity -- and promise of reinvention -- underpins the AI revolution and its far-reaching impacts on American industry and society. Huang underscored that AI is making intelligence more broadly accessible -- reaffirming the imperative for AI to reach everyone, not just a select few. Its opportunity extends across many industries and jobs including electricians, plumbers, ironworkers, technicians and all kinds of builders. "This is your time," Huang said. "AI is not just creating a new computing industry. It is creating a new industrial era." Massive industrial and economic shifts always bring with them uncertainty, the AI revolution is no different. "Every major technological revolution in history created fear alongside opportunity," Huang said. "When society engages technology openly, responsibly and optimistically, we expand human potential far more than we diminish it." Huang explained that AI automates tasks but elevates workers. The task and purpose of a job are not the same. Radiologists, for example, don't just read scans -- they care for patients. AI automates scan reading (the task) but elevates the radiologist: the purpose. The way forward for this generation, indeed for everyone, is to engage deeply with AI, he said. Advancing AI Responsibly Huang emphasized that such a massive effort requires a "clear-eyed" approach if AI's "great promise" is to be realized while addressing "real risks." "The responsibility of our generation is not only to advance AI -- but to advance it wisely," he said, striking a chord with the commencement crowd, who cheered and applauded his next remark that "scientists and engineers have a profound responsibility to advance AI capabilities and AI safety together." And Huang didn't leave out non-technical groups. "Policymakers have a responsibility to create thoughtful guardrails that protect society while still allowing innovation, discovery and progress to move forward," he said. To meet the moment of the AI revolution, Huang counseled doing four things at once: "Advance safely. Create thoughtful policies. Make AI broadly accessible. And encourage everyone to engage." "History shows that societies that retreat from technology do not stop progress -- they only surrender the opportunity to shape it and to benefit from it," he said. "So, the answer is not to fear the future. The answer is to guide it wisely, build it responsibly and ensure that its benefits reach as many people as possible." Carnegie Mellon's Role in Enabling the AI Era Looking at the graduation class and their loved ones, Huang saw a part of himself and his own path in the United States. "Like many in this audience, I am a first-generation immigrant," Huang said, describing his view of America growing up as "not easy, but full of opportunities. Not a guarantee, but a chance." "My parents came here because they believed America could give their children a chance," Huang said. "How can we not be romantic about America?" And in addressing the graduates and the nation's future, Huang also acknowledged the past -- namely Carnegie Mellon University's role as "one of the true birthplaces of artificial intelligence and robotics." "AI started right here at Carnegie Mellon," said Huang, invoking a string of watershed moments, from CMU researchers' creation of the Logic Theorist in the 1950s -- widely considered the first AI computer program -- to the foundation of the Robotics Institute, the first academic institute devoted entirely to robotics, in 1979. Huang also received an Honorary Doctor of Science and Technology, one of the university's highest distinctions, from CMU President Farnam Jahanian. Ahead of the commencement ceremony, Huang visited Carnegie Mellon's Robotics Institute, where he met with students -- including members of the robotics club -- to learn about their work and how it addresses real-world challenges. "Carnegie Mellon has a motto I love: 'My heart is in the work.' So put your heart in the work," Huang said to conclude his address. "Build something worthy of your education, your potential and the people who believed in you long before the world did." Watch the full address below:

Jensen Huang to college grads: "Run. Don't walk" toward AI

Nvidia founder and CEO Jensen Huang told graduates at Carnegie Mellon University in Pittsburgh yesterday that demand for AI infrastructure is creating a "once-in-a-generation opportunity to reindustrialize America and restore the nation's capacity to build." Why it matters: With many college grads fearing AI could obliterate their career dreams, Huang pointed to boundless opportunity as a "new industry is being born. A new era of science and discovery is beginning ... I cannot imagine a more exciting time to begin your life's work."

'We're going through the single largest infrastructure buildout in human history': Jensen Huang says new Nvidia AI partnership will 'revitalize American manufacturing'

* Nvidia CEO says American manufacturing has a huge opportunity with AI * 'We're going through the single largest infrastructure buildout in human history', says Huang * Nvidia and Corning sign major partnership to expend optical manufacturing capacity Nvidia CEO Jensen Huang has suggested the increasing influence of AI offers the US manufacturing industry a great opportunity to evolve and grow like never before. "We're going through the single largest infrastructure buildout in human history," Huang said on CNBC's Mad Money. "Artificial intelligence is going to become fundamental infrastructure all over the world, and surely here in the United States." AI helping boost industry Huang was speaking to announce the launch of Nvidia's partnership with Corning, which will see the latter building three new facilities in Texas and North Carolina, reportedly creating more than 3,000 jobs. Such deals show the strength of US manufacturing, Huang declared, offering the chance to reinforce a domestic supply chain which doesn't need to solely rely on firms from China or other nations. "This is such an extraordinary opportunity because we can use these market dynamics to reinvest, revitalize American manufacturing for the first time in several generations," Huang said. "We need the support and partnership of the world's best companies in our supply chain to help us create and realize this future," he said. "Silicon photonics and optical technology is a very big part of that." Huang has unsurprisingly been keen to talk about the advantages of AI for some time, especially when it comes to trying to dispel fears over human job losses, focusing instead on the part it would play in automating routine or boring tasks, freeing up human workers for more engaging areas. Huang said that people who believe an entire role will be replace simply due to a single part being automated, "misunderstand that the purpose of a job and the task of a job are related". At a wider scale, the CEO was also critical of those pushing narratives of Terminator-esque AIs ruling the planet, or killing off parts of the economy. "My greatest concern is that we scare...people," he said, "all the people that we're telling these science fiction stories to, to the point where AI is so unpopular in the United States, or people are so afraid of it, that they don't actually engage it." He also recently revealed how his own experiences have changed, noting, "I feel like I'm getting busier and busier to be honest...my experience with Nvidia today is that it's making me busier than it was six months ago - and the reason for that is because results work is coming back to you much faster, work is coming back to you much faster, and the number of projects are growing much faster" "AI is going to get tasks done super fast...my sense is that AI is going to cause us to be able to do things so fast we're going to end up doing more." Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. Make sure to click the Follow button!

'AI creates jobs': Nvidia CEO Jensen Huang once again says workers have nothing to fear

* Nvidia CEO Jensen Huang predicts AI will generate more jobs than it ends * AI is [the] United States' best opportunity to re-industrialize, Huang says * Huang also says "AI doomers" "misunderstand" the technology Nvidia CEO Jensen Huang has again laid his belief that utilizing AI at work will make us all more productive, and efficient. Speaking with MSNBC's Becky Quick at a Milken Institute event, Huang promoted the idea AI would create large numbers of jobs, instead of leading to a widespread extinction of roles. "AI creates jobs," Huang said, "AI is [the] United States' best opportunity to re-industrialize" itself. Are "doomers" misunderstanding AI? Asked about the role AI will play in the next industrial age, Huang looked to assuage fears over the technology taking entire roles, focusing instead on the part it would play in automating routine or boring tasks - freeing up the human workers for more engaging areas. Huang said that people who believe an entire role will be replace simply due to a single part being automated, "misunderstand that the purpose of a job and the task of a job are related" - and are not always the be all and end all. At a wider scale, the CEO was also critical of those pushing narratives of Terminator-esque AIs ruling the planet, or killing off parts of the economy. "My greatest concern is that we scare...people," he said, "all the people that we're telling these science fiction stories to, to the point where AI is so unpopular in the United States, or people are so afraid of it, that they don't actually engage it." The theme was one Huang has been pushing for some time, perhaps unsurprisingly given the prime position Nvidia is taking in AI rollouts worldwide. Asked at the company's Nvidia GTC 2026 event in March 2026 about how it is using AI in day-to-day work, Huang said Asked about how his company is using AI in day-to-day work, Huang noted, "Nvidia is moving faster than ever, but that's because we use more and more AI and so work gets done faster, all of the projects are moving faster." "I feel like I'm getting busier and busier to be honest...my experience with Nvidia today is that it's making me busier than it was six months ago - and the reason for that is because results work is coming back to you much faster, work is coming back to you much faster, and the number of projects are growing much faster" "AI is going to get tasks done super fast...my sense is that AI is going to cause us to be able to do things so fast we're going to end up doing more." Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. Make sure to click the Follow button!

Nvidia CEO Jensen Huang Tells Workers Not to Fear AI, It's a Job Creator

Nvidia's Chief Executive Jensen Huang is telling the American workforce that the artificial intelligence boom will create jobs, not deplete them. The AI guru was interviewed by MSNBC's Becky Quick, hosted by the Milken Institute, in which he contested the notion that AI could undercut the workforce. Jensen, who dominates the AI chip market with an estimated 85% share, sees a future of AI in a more positive light, and tells audiences that working in tandem with it is key. "This is the part that people don't realize about AI. The first thing that AI is doing right now is creating an enormous number of jobs," said Huang. "AI creates jobs. AI is the United States's best opportunity to re-industrialize ourselves." New Work Opportunities The CEO noted that in order for AI to exist, there must be three different types of plants running: Chip plants, computer plants, and AI factories. Huang noted that these would cost the U.S. several trillion dollars as it reindustrializes, but believes market forces can keep jobs available for humans.

Nvidia CEO Says AI Job Automation Doesn't Equal Job Losses | PYMNTS.com

"AI creates jobs," Jensen Huang argued in an interview with CNBC's Becky Quick Monday (May 4) evening. In comments from the event at the Milken Institute that were reported by TechCrunch, the CEO added that AI is the U.S.'s "best opportunity to re-industrialize" itself. Huang contended that the automation of one specific task doesn't mean a worker's job will go away. People who think this "misunderstand that the purpose of a job and the task of a job are related" but not the same thing, he said. According to the report, Huang was critical of people who claim AI will dominate humanity or erase huge sectors of the economy. "My greatest concern is that we scare ... people -- all the people that we're telling these science-fiction stories to, to the point where AI is so unpopular in the United States, or people are so afraid of it, that they don't actually engage it," he said. The TechCrunch report notes that most of what Huang called "doomer" rhetoric about AI has come from the AI industry, leading critics to suggest that these claims are nothing more than a marketing tactic to create buzz around products that aren't as powerful as such statements would indicate. Huang's comments come amid a string of recent AI-related job losses, with several companies -- most recently CoinBase -- citing the tech when announcing layoffs. But as PYMNTS has written, while job cuts tied to AI invariably bring about fears of a larger employment crisis, current labor research suggests a much more complicated situation. For example, the World Economic Forum has argued that while automation and AI will eliminate the need for certain tasks, they will also pave the way for new categories of work, particularly in data, AI oversight, cybersecurity and human-centric services. The report stressed that this will lead to a time of transition but not a permanent contraction. Many workers' skills are expected to evolve over the next five years, which will require retraining and adaptation. "The pressure is real, but it is directional," PYMNTS added. "Roles centered on routine information processing are most exposed. Roles combining domain expertise, judgment and technological fluency are expanding."

Fear Not, AI Isn't an Existential Threat to Humankind: Jensen Huang Weighs In

The man helming the world's most valued company Nvidia and considered to a major figure in the AI ecosystem calls the bluffs around AI and says people must not believe all they hear Jensen Huang, the CEO of chipmaker Nvidia and considered by many as one of the architects of the ongoing AI revolution, believes that the spectre of job-displacements is overstated as the way this new tech is developing, it could soon prove to be an industry-scale job creator. Huang told MSNBC's Becky Quick in a chat show earlier this week at the Milken Institute (a policy think tank) that far from being a harbinger of mass unemployment that the doomsday predictions have indicated, there is every possibility that AI would actually create massive jobs across segments that one hasn't even begun to comprehend. "AI creates jobs. It is the United States' best opportunity to re-industrialise itself," he said while also noting that the AI ecosystem has powered up a new breed of factories - the kinds that produce hardware that forms critical infrastructure. These factories need workers, as does the rest of the blossoming AI business. In spite of dwelling on multiple topics, Huang somehow kept harking back to the theme of growing economic anxiety around the AI industry and questions of whether people should be genuinely concerned over its impact. "This is happening so quickly. Is there a bigger dislocation than we've seen in the past that leads to greater inequality? And what do we do about that?" the interviewer Quick asked. And the Nvidia CEO reiterated time and again that there needs to be more optimism about these developments. Just because a task gets automated does not mean a person's entire job is being replaced. People are misunderstanding the fact that that the purpose of a job and the task of a job are definitely related, but is not the same thing, he said. So, even when AI takes over a discrete task within a role, the broader function that employee serves in an organization is likely to remain, Huang reasoned. In fact, he also called out people delivering doomsday prediction around AI claiming it will dominate humanity or wipe out huge segments of the economy. "My greatest concern now is that we scare people with these science-fiction stories. To the point where AI is so unpopular in the US, or people are so afraid of it, they don't actually engage with it," he said. The Nvidia CEO called out the industry for generating rhetoric and using the hyperbole as a marketing gimmick to boost the buzz even further around products, solutions or even upcoming IPOs (our comment). Huang holds the view that the actual capabilities of these products or solutions aren't anywhere near what the rhetoric suggests. In fact, Jensen Huang called out people who have made statements like AI destroying democracy. In the video, he gives the example of someone generating a hyperbole around how AI will kill radiology, which in turn could result in medical students turning away from that particular field of expertise. Somehow because they became CEOs they adopt a God-complex, and before you know it, you know everything. I think we've to be careful and really ground ourselves and really talk about the facts," Huang had said. On the one hand, such statements could be considered a warning and therefore helpful, the counter have been hurtful. Similarly, if we convinced college graduates to not be software engineers, the US would end up needing more software engineers than ever. So we must be careful on how we communicate for this technology and advocate for policy and guardrails, he had said. "Scaring people by saying non-sensical things which are not going to happen like AI is an existential threat to humanity, is ridiculous. That it is going to wipe of 50% of new college grad jobs and that it completely destroy democracy. These kind of comments are made by people like me, that is CEOS," he says.

NVIDIA's Huang says AI will make intelligence a commodity for billions By Investing.com

Investing.com -- NVIDIA chief executive Jensen Huang said on Sunday that artificial intelligence will make intelligence itself a commodity accessible to anyone, from carpenters to shopkeepers, adding that the technology will reach billions of people who have never had access to computing power before. Speaking at Carnegie Mellon University's commencement ceremony, where he received an honorary doctorate, Huang framed the AI buildout as America's reindustrialization moment, one requiring as many plumbers and ironworkers as engineers to construct chip factories and data centers across the country. "We have the opportunity to close the technology divide -- and bring the power of computing and intelligence to billions of people for the very first time," Huang told graduates. His remarks come as NVIDIA dominates global supply of the semiconductors powering the AI industry, with the company's chips underpinning data centers built by Amazon, Microsoft, Google and Meta, among others. Huang pushed back against fears that AI would displace workers, drawing a distinction between tasks and purpose. A radiologist, he said, does not merely read scans, they care for patients. AI automates the former, he argued, but elevates the latter. "Every major technological revolution in history created fear alongside opportunity," he said. "When society engages technology openly, responsibly, and optimistically, we expand human potential far more than we diminish it." He called on scientists, engineers and policymakers to advance AI capabilities and safety in tandem, warning that guardrails must keep pace with the technology's rapid development. Huang honored Carnegie Mellon's foundational role in AI research, citing the university's Logic Theorist program in the 1950s and its Robotics Institute, founded in 1979, as pillars of American technological leadership that the current generation must build upon. He closed with a direct charge to graduates to treat AI as an inclusive tool rather than an elite one, and to treat the current moment as a mandate to build.