
Jensen Huang’s Message to Graduates: “AI Won’t Replace You—But People Who Use AI Well Will”
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Jensen Huang’s Message to Graduates: “AI Won’t Replace You—But People Who Use AI Well Will”
“I cannot imagine a time more suitable for launching your careers than the present.”
Source: QbitAI
Jensen Huang has become “Dr.” again.
At Carnegie Mellon University’s (CMU) most recent commencement ceremony, the CEO was awarded an honorary Doctor of Science and Technology degree and delivered a rain-soaked keynote speech to over 5,800 graduates.
P.S. This is already his seventh honorary doctorate.
As the single most pivotal driver behind the global AI wave, he delivered a line destined to go viral: “AI won’t replace you—but people who use AI well will.”
That statement landed squarely on the foreheads of the young graduates seated before him—because they are entering what may be the most anxious job market in recent years: AI is sweeping through Silicon Valley, major tech firms continue mass layoffs, and U.S. new graduates’ job-hunting difficulty has reached a four-year peak.
Many young people are confronting, for the first time, a serious question: Will what I’ve learned become obsolete overnight?
This sentiment was palpable at the ceremony. The event was naturally energetic and celebratory—but beneath the excitement, uncertainty about the future was etched across many faces.
Faced with this anxiety permeating the entire tech industry, the man standing atop the AI wave offered precisely the opposite assessment:
“I cannot imagine a time more ideal than now to launch your life’s work.”
That sounds like clichéd inspiration—yet coming from Jensen, it’s hard not to believe it, because seizing opportunity amid adversity has defined his entire journey.
He immigrated to the U.S. at age nine speaking no English; his mother woke him at 4 a.m. to deliver newspapers. Later, while working part-time jobs, he earned a master’s degree in electrical engineering from Stanford. At thirty, he co-founded NVIDIA—but its first product flopped, nearly bankrupting the company. In its darkest hour, he flew to Japan to apologize in person to Sega’s CEO—and secured just enough funding to keep NVIDIA alive… until today, when he leads a trillion-dollar empire.
So when a person like that tells the Class of 2026, “So run, don’t walk,” perhaps there’s more than just inspiration behind those words.
Full transcript of Jensen Huang’s commencement address below.
Personal Journey: From Dishwasher to CEO of NVIDIA
(Opening remarks)
Honorable President, members of the Board of Trustees, faculty, distinguished guests, proud parents—and, most importantly—the Carnegie Mellon University Class of 2026. It is profoundly meaningful for me to stand here today and accept this extraordinary honor. CMU ranks among the world’s most elite universities—and one of only a few truly capable of forging the future.
Today is not only the day your dreams come true—it’s also the day your families’, teachers’, mentors’, and friends’ dreams come true. Before we look ahead, please take a moment to thank them. Graduates, please rise—and turn to face your mothers—to wish them a Happy Mother’s Day. Seeing you graduate from this great university is, for them, equally a dream realized.
Alright—please be seated.
CMU students really do behave like robots—executing just one instruction at a time. (Laughter)
My parents are deeply proud of me. My journey is their journey—and I am living proof of their dreams. Like many of you, I am a first-generation immigrant. My father dreamed of building a life in America, so at age nine, he sent my brother and me there. We ended up at a Baptist boarding school in Oneida, Kentucky—a coal-mining town of just a few hundred people. Two years later, my parents exhausted every resource to join us in the U.S.
My father had been a chemical engineer; my mother worked as a domestic helper at a Catholic school. She woke me at 4 a.m. to deliver newspapers—and my brother helped me land my first job: washing dishes at S Restaurant. Back then, I considered that a major career leap. That was my first impression of America—not necessarily easy, but full of opportunity.
Later, I attended Oregon State University, where at age 17 I met my wife, Lori. I was the youngest student on campus, while she—age 19—was, by comparison, a “senior” woman. We were lab partners in sophomore physics. Ultimately, I beat out the other 250 guys in our class to win her heart. Today, we’ve been married for 40 years—and both our children now work at NVIDIA.
At 30, I co-founded NVIDIA with Chris Malachowsky and Curtis Priem. We aimed to build an entirely new kind of computer—one that could solve problems ordinary computers couldn’t. At the time, I thought, “How hard could it be?” As it turned out—extremely hard.
Our first technology simply didn’t work—and the company nearly collapsed. I had to fly to Japan to confess to Sega’s CEO that we couldn’t deliver the contracted technology—and beg him to pay us anyway, or NVIDIA would die. That remains one of the most awkward, humiliating, and difficult things I’ve ever done. And yet—Sega’s CEO agreed.
I learned then that being a CEO isn’t about power—it’s about responsibility: the responsibility to keep your company alive. Humility and honesty often elicit generosity and kindness. With that payment, we pulled ourselves back from the brink—and invented, in extremis, a novel chip-design methodology still used today.
Over the past 33 years, NVIDIA has continuously reinvented itself. Every time we asked, “How hard could it be?” the answer was always: “Harder than we imagined.” But these experiences taught us never to see failure as the opposite of success—failure is instead another opportunity to learn, to hone character, and to strengthen resilience.
Today, I am one of the longest-serving CEOs in the tech industry. NVIDIA—and everything I’ve built alongside our 45,000 exceptional colleagues—is the culmination of my life’s work. Now, it’s your turn. You’re entering the world at the perfect time.
Resetting Computer Science: The Dawn of the AI Revolution
My career began at the dawn of the PC revolution—yours begins at the dawn of the AI revolution. I can’t imagine a more exhilarating era.
In fact, much of AI’s origin traces directly back to CMU. Over the past 24 hours, I’ve heard countless AI jokes. (Laughter) Yet CMU truly stands among the birthplaces of artificial intelligence and robotics. As early as the 1950s, researchers here developed Logic Theorist—the widely recognized first AI program. In 1979, CMU established the Robotics Institute. This morning, I visited Robo Club—the world’s first academic institution dedicated solely to robotics.
Today, AI has fully emerged from the lab and begun reshaping the entire computing industry. I’ve witnessed nearly every major computing platform shift: mainframes, PCs, the internet, mobile devices, and cloud computing. Each wave built upon the last—and each made technology more accessible and profoundly transformed society. What comes next, however, will dwarf all prior waves in scale—because computing itself is being redefined.
For the past 60 years, the fundamental computing paradigm remained unchanged: humans write software; computers execute instructions. That era has now ended. AI has shifted the entire computing paradigm—from “human programming” to “machine learning”; from CPUs executing software to GPUs running neural networks; from “executing commands” to “understanding, reasoning, planning, and using tools.”
A completely new industry is emerging: large-scale intelligent manufacturing—because intelligence itself will become infrastructure for every industry.
Facing Fear and Opportunity: AI Amplifies Human Capability
Every industry will change—and many people feel uneasy. They see AI writing code, generating images, driving cars—and begin to wonder: Will jobs disappear? Will humans be replaced? Will technology spiral out of control?
In truth, every major technological revolution has sparked similar anxieties. Yet history also teaches us that when societies embrace technology openly, responsibly, and optimistically, human capability expands far more than it contracts.
Of course, we must remain clear-eyed. AI is one of humanity’s most powerful technologies—offering immense promise, yet accompanied by real risks. Thus, our generation’s responsibility extends beyond advancing AI—we must advance it the right way. Scientists and engineers must balance capability with safety; policymakers must craft sensible regulations—protecting society without stifling innovation or exploration.
History proves that societies paralyzed by fear of technology do not halt progress—they merely forfeit the chance to help shape the future and reap its benefits. So rather than teaching young people to fear the future, we should teach them to build it—with responsibility, optimism, and ambition.
In the past, only a tiny fraction of people knew how to code. Today, anyone can create using AI. A small-business owner can build their own website; a carpenter can use AI to design kitchen layouts; tasks once requiring professional engineers are now within reach of ordinary people. Code is increasingly generated by AI. In a sense, everyone is becoming a programmer.
For the first time in human history, computing and intelligence have a genuine chance to become universally accessible—bridging the digital divide. Like the electricity and internet revolutions, AI demands massive infrastructure investment. In the future, the U.S. will construct numerous chip fabs, supercomputer factories, data centers, and advanced manufacturing facilities. This isn’t just a technological revolution—it’s also an opportunity for reindustrialization.
Electricians, plumbers, steelworkers, construction workers, technicians—their moment is arriving, too. AI isn’t merely creating a new computing industry; it’s launching a new industrial era.
Of course, AI will transform every job. Some roles will vanish; many tasks will be automated. But “tasks” and “the meaning of work” are not the same thing. AI can auto-generate code—but software engineers remain vital, because they leverage AI to solve ever-more-complex problems. AI can assist in medical imaging analysis—but radiologists remain essential, because they diagnose disease and care for patients.
AI won’t replace human purpose—it will amplify human capability. So rather than saying “AI will replace you,” it’s more accurate to say: “People who use AI better than you might replace you.” Therefore, the real question we should ask is: Do we want our children empowered by AI—or left behind by those who already master it? The answer is obvious. So let’s develop AI safely—and encourage broader participation in it.
AI shouldn’t belong only to coders. It belongs to everyone.
Closing: Run—Don’t Walk; Heart in the Work
Class of 2026—you stand at the threshold of an extraordinary era. A new epoch of science and discovery is unfolding. AI will accelerate the expansion of human knowledge—and help us solve problems previously deemed unsolvable.
We have the chance to bridge the digital divide—granting billions of people real access to computing and intelligence for the first time. We have the chance to drive reindustrialization—and rebuild our capacity to “make things.” And we have the chance to create a future richer, stronger, and more hopeful than the one you inherited.
No generation has ever possessed more powerful tools—or broader opportunities. And right now, all of us stand on equal footing. This is your moment—to shape what comes next. So run—not walk. (So run, don’t walk)
Finally, I’d like to close with a phrase from CMU that I love deeply: “My heart is in the work.”
So pour your heart into your work—to create things worthy of your education, your potential, and the unwavering belief of those who supported you long before the world recognized your worth.
Congratulations to you all—and congratulations to the entire CMU Class of 2026.
One More Thing
Jensen Huang—who holds only a master’s degree—is now being flooded with honorary doctorates from universities worldwide.
With CMU’s latest addition, he’s almost got enough to line up a whole row. (doge)
In today’s context, this isn’t surprising. In the AI era, it’s practically standard practice for universities globally to invite tech CEOs to deliver commencement addresses—and hand them honorary doctoral robes on the spot.
The logic is straightforward: universities seek to boost influence by associating with industry luminaries—and need figures who symbolize the “future” that graduates are about to enter.
And Jensen stands out as uniquely compelling.
After all, when someone rises from dishwasher to leader of a $500-billion empire, their words carry extra weight.
And finally—remember this next time you see him:
Dr. Huang.
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