Jensen Huang says parents should stop fixating on which university subjects will remain “safe” from artificial intelligence, arguing that the AI era is more likely to increase the value of human creativity, judgment and communication skills than eliminate them.

Speaking to Singapore’s Channel NewsAsia on Monday, the Nvidia chief executive said the rapid spread of AI across industries would not make traditional fields of study irrelevant, pushing back against growing fears that students must abandon the humanities and creative disciplines to survive in an automated economy.

“I think that it won’t matter,” Huang said when asked what children should study in the AI era. “All the things that used to matter are still things that are going to matter in the future.”

His remarks come as governments, universities and families worldwide struggle to adapt education systems to the rise of generative AI tools capable of writing code, producing essays, generating images, and automating administrative tasks.

The emergence of systems such as ChatGPT, Claude, and Gemini has triggered intense debate about whether students should prioritize technical disciplines like computer science and engineering over subjects seen as more vulnerable to automation.

Huang rejected the idea that young people should simply chase “AI-proof” careers. Instead, he argued students should focus on learning how to use AI to deepen expertise and improve their work, regardless of discipline.

“Whatever you decide is your passion, the only one thing that you have to do is to make sure that you ask yourself: How can AI help elevate my learning, my craft, my purpose?” he said.

The Nvidia chief pointed specifically to journalism, storytelling, design, and the arts as examples of areas where human qualities are likely to remain valuable even as AI systems become more sophisticated.

He said the best interviewers and communicators succeed not merely because they are technically prepared, but because they can react in real time, listen carefully, and engage dynamically with people.

“The ability to tell a story for an audience will remain just as important in the future as it is today,” Huang said.

The comments are notable given Nvidia’s central role in the global AI boom. The company’s graphics processors power many of the world’s leading AI systems and data centers, placing Huang at the center of the technological transformation reshaping industries and labor markets. Yet even as Nvidia benefits from surging AI demand, Huang has consistently framed AI as a productivity-enhancing technology rather than a wholesale replacement for human workers.

He described jobs as collections of tasks, some of which will inevitably be automated.

“A job is like a basket of tasks,” Huang said. “Many of those tasks will be automated. And my sense is that as a result of automation, we can focus on the harder parts of our work.”

That view aligns with the thoughts of technology executives and economists who now argue AI may augment many professions before fully replacing them. Rather than eliminating entire occupations immediately, AI is expected to absorb repetitive and administrative work while increasing demand for higher-level reasoning, creativity, interpersonal communication, and oversight.

Huang also addressed fears that heavy dependence on AI could reduce critical thinking or make people intellectually passive. Drawing comparisons with earlier technological revolutions such as personal computers, smartphones, and the internet, he argued that previous innovations ultimately expanded human ambition and productivity rather than diminishing them.

“Do we find ourselves busier or less busy?” Huang said. “I think the answer is we found ourselves busier.”

His comments come amid growing public anxiety about AI’s effect on education and employment. A number of business leaders and researchers have warned that generative AI could sharply disrupt entry-level white-collar work, particularly in fields involving writing, coding, research, and analysis. At the same time, companies across finance, consulting, media, and technology are increasingly integrating AI into workflows, prompting concerns that workers may struggle to adapt quickly enough.

Huang suggested that uniquely human characteristics may actually become more prized in a world saturated with machine-generated content.

Referencing the Japanese philosophy of “wabi-sabi,” which emphasizes the beauty of imperfection and authenticity, he argued that human originality and emotional connection could become more valuable as AI-generated outputs become widespread.

The emphasis on creativity, communication, and adaptability echoes similar arguments recently made by other prominent business figures. Entrepreneur Scott Galloway has argued that storytelling and relationship-building will become increasingly important in the AI economy, while futurist Peter Diamandis recently said curiosity and adaptability would be among the most valuable skills for younger generations.

For educators and policymakers, Huang’s remarks lend credence to a growing view that the challenge may not simply be teaching technical AI skills, but ensuring students can combine technological fluency with human judgment, creativity, and emotional intelligence. That balance could become increasingly important as AI systems take over more routine cognitive work while leaving people to handle ambiguity, leadership, ethics, and interpersonal engagement.

Ferrari shares tumbled sharply on Tuesday after the iconic Italian luxury carmaker unveiled its first fully electric vehicle, the Luce, in a high-profile event in Rome, revealing deep investor concerns about the transition to electrification and potential dilution of the brand’s legendary combustion-engine heritage.

The Maranello-based company described the Luce, Italian for “light”, as evoking “clarity and direction,” but the sleek, futuristic design has drawn mixed reactions, with many longtime enthusiasts expressing disappointment on social media. Shares of Ferrari were down as much as 8% intraday before paring some losses to trade around 6.5% lower by midday in London.

The stock has now fallen more than 31% over the past 12 months, reflecting broader pressures on the luxury sector amid softening demand and the costly pivot to electric vehicles.

Ferrari CEO Benedetto Vigna called the launch “a very, very important day” for the company, marking the opening of “a new chapter” in its storied 77-year history. Addressing concerns about alienating core customers while attracting new ones, Vigna told CNBC’s Charlotte Reed: “Look, when you do a new technology, you need always to keep in mind a word that is called respect. Respect of the technology, because when you have a new technology, you need to make sure that that technology is properly represented in the design, so the design must be different.”

He added that the company respects the diverse needs of its clientele: “Ferrari drivers will have the same sensation” as with traditional models, though he acknowledged the electric powertrain produces a different sound. “What is important is the emotion that is being given to the driver.”

The Luce, Ferrari’s first five-seater, can accelerate from 0 to 60 mph in approximately 2.5 seconds and reach a top speed of around 192 mph. It is priced at roughly €550,000 (about $640,000), with customer deliveries expected to begin in the fourth quarter of 2026. The vehicle was developed entirely in-house in Maranello, with design entrusted to LoveFrom, the agency founded by former Apple design chief Jony Ive.

This collaboration has been positioned as a fusion of Ferrari’s performance DNA with cutting-edge aesthetic and technological sophistication.

Market and Fan Backlash

Analysts attributed the share price reaction to a combination of “design hate” and the classic “buy the rumor, sell the news” dynamic, as Ferrari’s stock had rallied significantly in anticipation of the launch.

Michael Field, chief equity strategist at Morningstar, told CNBC: “Ultimately many fans are disappointed that Ferrari is embracing the EV concept, believing it dilutes the supercar brand, which has modelled itself around classic design and raw, combustion-engine power. From an investment perspective, many investors had feared the development of an EV model, on the basis that the research and development costs are materially high, putting a lot of pressure on the brand to recoup these, and potentially diluting investment returns for the business.”

Anthony Dick, an auto analyst at Oddo BHF, described the market’s response as one of the sharpest reactions to a new car design he had seen.

“The market has spoken,” he said.

Social media reaction was swift and largely negative. On X, users compared the Luce’s blue-and-black color scheme to the far more affordable Nissan Leaf. One user quipped about buying “the new Ferrari Luce interior without the exterior,” while others used AI tools like ChatGPT and Grok to generate alternative, more aggressive “batmobile-style” designs they felt better suited the Ferrari brand.

Ferrari’s move comes as other luxury manufacturers, notably Porsche and Lamborghini, have scaled back aggressive EV timelines due to softer-than-expected demand for high-end electric vehicles. This raises questions about whether Ferrari can successfully attract new buyers without alienating its traditional clientele, who prize the visceral experience of naturally aspirated V12 and V8 engines.

The company is betting that the Luce will expand its customer base while maintaining emotional appeal. However, industry analysts are concerned that failure to deliver on performance, sound engineering, or brand cachet could damage Ferrari’s exclusivity and long-term pricing power — key drivers of its historically high margins.

Despite today’s selloff, Ferrari remains one of the most valuable and profitable luxury carmakers globally, with exceptional brand strength and pricing power. The Luce launch is a calculated risk in a rapidly electrifying luxury segment. Analysts believe it’s too early to rule it out, and eventual success could open new markets and customer demographics, particularly in regions with strict emissions regulations.

Failure, however, could erode the brand’s aura and pressure future profitability.

Vigna’s emphasis on “respect” for both technology and customers suggests Ferrari is acutely aware of the tightrope it is walking.

Sam Altman said the rapid rise of artificial intelligence has not caused the widespread destruction of white-collar jobs that many in the technology industry once feared, marking a notable shift in tone from one of the sector’s most influential figures as businesses grapple with how AI will reshape employment.

Speaking virtually at a conference hosted by the Commonwealth Bank of Australia on Tuesday, the OpenAI chief executive said he had overestimated how quickly AI systems such as ChatGPT would eliminate entry-level office work.

Altman said OpenAI had largely been accurate in forecasting the pace of technological progress since the launch of ChatGPT in 2022, but admitted the company had misjudged how society and labor markets would respond.

“I’m delighted to be wrong about this,” Altman told Commonwealth Bank Chief Executive Matt Comyn. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened.”

The remarks have caught attention because Altman has previously been among the most vocal technology executives warning that advanced AI systems could fundamentally disrupt labor markets and displace large categories of professional work.

In recent years, executives across Silicon Valley and Wall Street have repeatedly argued that generative AI could automate administrative tasks, coding, legal research, customer support, financial analysis, and other knowledge-based functions that employ millions of workers globally. Those concerns intensified after rapid improvements in large language models capable of generating human-like text, writing software code, and automating workplace communication.

Yet despite heavy corporate investment in AI, labor-market disruption has so far appeared more gradual than many forecasts suggested.

Altman said he now better understands why the impact has been slower.

“I now think I understand more about why it hasn’t, and I’m obviously grateful, but that is an area where my intuitions were just off,” he said.

The comments come even as companies continue integrating AI into daily operations and reducing headcount in some areas. Firms including HSBC, Amazon, Standard Chartered, and Commonwealth Bank have all acknowledged using AI systems to automate certain tasks previously handled by employees.

The tension between rising AI adoption and relatively resilient employment levels has become one of the defining economic debates surrounding the technology. Economists and labor analysts increasingly argue that AI may initially reshape jobs rather than eliminate them outright, automating repetitive functions while increasing demand for workers capable of overseeing systems, interpreting outputs, and handling complex interpersonal interactions.

Altman suggested his own experience using AI tools had altered his thinking about the limits of automation. He said he experimented with using AI to answer Slack and email messages on his behalf, identifying responses as being generated by “Sam’s AI,” but found the experience reinforced the importance of human interaction.

“It was an amazing example to me of [how] we really do care about people,” Altman said. “We really do care about our interactions with people.”

He added that even though delegating communications to AI saved time, he no longer believed many forms of human engagement in professional settings could be fully outsourced.

“That really, in both positive and negative ways, updated me to thinking that the jobs picture is likely to be very different than we thought,” he said.

The shift in rhetoric from Altman may also reflect growing scrutiny of AI companies as concerns mount over automation, misinformation, cybersecurity, and the concentration of economic power in a handful of technology firms.

OpenAI itself has become central to that debate. The company is reportedly preparing to confidentially file for a U.S. initial public offering that could value it at around $1 trillion, underscoring how investor enthusiasm around AI continues to surge even as questions remain about long-term economic consequences.

At the same time, some AI researchers and economists continue to warn that labor-market disruption could still accelerate sharply as models become more capable and autonomous. Many businesses are still in the early stages of deploying AI systems at scale, and several executives have acknowledged that adoption often requires restructuring workflows, retraining workers, and redesigning internal processes before large productivity gains emerge.

Altman himself cautioned that earlier fears may not have been entirely misplaced.

“People are like ‘oh you could have saved the world a lot of fear mongering and a lot of doom and gloom,’” he said. “But at the time I was like ‘I see this is a real risk we should probably talk about it’ and it still may.”

His comments are seen as an acknowledgement that the AI industry is increasingly moving away from predictions of immediate mass unemployment toward a more complex picture in which automation changes the nature of work gradually, unevenly, and differently across sectors. Currently, the global economy appears to be absorbing AI more as a productivity tool than as a direct replacement for large portions of the workforce.