Nvidia CEO talks about AI replacing human jobs, says it will change everyone's job
Nvidia CEO Jensen Huang believes that artificial intelligence will bring changes to every job, but it won't lead to the kind of massive unemployment some experts are warning about. Speaking at the VivaTech 2025 event in Paris, Huang dismissed claims made by Anthropic CEO Dario Amodei, who recently said that AI could wipe out nearly half of all entry-level white-collar jobs in the next few years.advertisementHuang strongly disagreed with that prediction, saying that while AI will certainly change how people work, it also opens up new possibilities. He also suggested that AI has already changed his job, adding that instead of fearing AI, people should focus on learning how to use it responsibly. He also compared the development of AI to medical research, suggesting it should be done openly and with input from many experts.This isn't the first time Huang has spoken about AI and jobs. At another major event — the Milken Institute Global Conference last month, he said that AI isn't going to directly take people's jobs, but those who understand how to use AI tools might end up replacing those who don't. 'Every job will be affected, and immediately,' he said, pointing out that the real risk lies in being left behind in a changing work environment.advertisement
Huang explained that today, only a small portion of the global population, around 30 million people, actually know how to use AI effectively. He believes that as more people gain these skills, it will become a powerful tool for improving productivity and creating new types of work.On the other hand, Amodei remains cautious. In an earlier interview with Axios, he warned that the rise of AI could lead to major job losses in fields like law, finance, tech, and consulting. He even predicted that per cent companies might stop listing many new jobs, as AI would take over most entry-level responsibilities. 'The economy might grow fast, but 20 per cent of people could end up without jobs,' Amodei said.While views on AI's impact continue to differ among industry leaders, Huang is trying to say that instead of worrying about machines taking over, people should focus on understanding and using AI. The future of work, according to him, will belong to those who know how to work with this technology, not those who fear it.
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The Hindu
27 minutes ago
- The Hindu
AI chatbots need more books to learn from, so more libraries are opening their stacks
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Davis said libraries also hold 'significant amounts of interesting cultural, historical and language data' that's missing from the past few decades of online commentary that AI chatbots have mostly learned from. Supported by 'unrestricted gifts' from Microsoft and ChatGPT maker OpenAI, the Harvard-based Institutional Data Initiative is working with libraries around the world on how to make their historic collections AI-ready in a way that also benefits libraries and the communities they serve. 'We're trying to move some of the power from this current AI moment back to these institutions,' said Aristana Scourtas, who manages research at Harvard Law School's Library Innovation Lab. 'Librarians have always been the stewards of data and the stewards of information.' Harvard's newly released dataset, Institutional Books 1.0, contains more than 394 million scanned pages of paper. One of the earlier works is from the 1400s — a Korean painter's handwritten thoughts about cultivating flowers and trees. The largest concentration of works is from the 19th century, on subjects such as literature, philosophy, law and agriculture, all of it meticulously preserved and organised by generations of librarians. It promises to be a boon for AI developers trying to improve the accuracy and reliability of their systems. 'A lot of the data that's been used in AI training has not come from original sources,' said the data initiative's executive director, Greg Leppert, who is also chief technologist at Harvard's Berkman Klein Center for Internet & Society. This book collection goes "all the way back to the physical copy that was scanned by the institutions that actually collected those items,' he said. 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The Hindu
27 minutes ago
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AMD unveils AI server as OpenAI taps its newest chips
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Indian Express
29 minutes ago
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9 essential AI tips for CEOs from a people-first leadership expert
Artificial intelligence is transforming our world. While it is not only changing the way we work, it is also redefining leadership. Businesses worldwide are racing to deploy new AI technologies, however, not many business leaders are able to see it beyond the realm of tech upgrades. If you are a business leader who wants to make the most of the present AI wave, here is a practical roadmap for AI adoption and navigate transformation. The following tips are a faithful reproduction of a LinkedIn post by Elaine Page, who is an influential voice and renowned talent strategist. Page begins her post by informing her followers that she has been doing what most would be doing at the moment – leafing through everything on AI and talking to founders, skeptics, operators, and optimists. And in all of these conversations, Page revealed one line that hit her harder – 'This isn't just a tool shift. It's leadership reckoning.' The growth and transformation expert said that this line reminded that her job as leader was not simply to understand disruption; rather humanise it, translate it, and, most importantly, to help her team grow through it instead of being left behind. She later turned to one of her most trusted mentors, whom she describes as 'a no-BS-CEO-turned-investor' to ask what he would do if he were running a company today. Page revealed that her mentor laid out a crisp, people-first roadmap for AI transformation. Below are the practical steps for leaders to navigate through the age of AI. These steps, born out of personal experience of Page's mentor, can resonate with leaders across the spectrum. As we know, AI is no longer optional learning; it is important that every senior leader must go through an immersive, hands-on bootcamp. It should not just be a webinar or a white paper but rather deep learning. This is imperative, as according to Page, one cannot lead what they cannot understand. Moreover, educating senior members in an organisation is key, as they are more likely to set the direction, culture, and pace of change. If they are unable to comprehend the benefits or disadvantages of AI, they cannot take informed decisions or raise the right questions. There could also be a possibility that they may unknowingly slow the innovation process, pursue hype and delegate AI strategy without vision. In an organisational setup, as leaders are learning about the change, Page recommends that companies should deploy their best thinkers to start documenting real challenges across business. In essence, they should skip the hype and just create a working list of problems that they would need better answers for. In simple words, dedicate resources to identifying real problems and focus on pain points across teams, workflows, and customer experience. Once a list of problems has been identified, it is time to start matching them with AI solutions. The expert recommends looking for opportunities to boost productivity, improve customer service, reduce costs, and scope out new revenue streams. Page asserts that AI is not here to replace people but to support them. She advises business leaders to frame it this way and works towards proving it. 'Communicate with optimism' is the mantra here. The present day evokes a need for leadership that is intentional and understands the technology, enables people, and most importantly, builds trust in the face of change. Leaders should be cautious as to not leave this solely to the IT teams alone. Page advises setting up an AI helpdesk and recruiting internal 'power users' and curious learners who can be the 'AI coaches' for various teams. Page essentially calls them the in-house translators, change agents, and champions of AI. In short, make AI adoption peer-led and momentum-driven. This can be one of the most useful recommendations for companies that desire to equip its staff with the latest AI tools. Primarily, because many organisations reportedly struggle with skilling their staff, and having an in-house helpdesk or familiar faces to coach them can be a valuable move. There is a need to balance the portfolio. Page believes that although quick wins are essential to building energy and belief, organisations also need long-term bets to push themselves forward in the long run. The transformation expert advises balancing short-term sprints with long-term missions. As we know, the AI landscape is currently a loud space with many selling their tools. The expert cautions against falling for just features. One should opt for ones that are adaptable, align with one's value, and grow with the needs of the organisation. One should look for flexibility, reliability, and strong values alignment. 'Think of relationships, not just features.' Many CEOs and innovators are working towards embracing this change with policies that are human-centric, ensuring that everyone gets to reap its benefits. However, there are many who may be struggling to sift through these times of dimensional shift without the tools and skills needed to make the most of it. Page believes that AI must come with governance, and it should not be phase 2. Leaders should be transparent with their teams, set boundaries around data use, and put people at the centre of every decision. In essence, companies should prioritise human-centred outcomes. Making ethics part of AI strategy should be a given. AI is bringing along a need for a shift in mindset. In the past few years, perhaps the biggest challenge has not been keeping up with rapid AI advancements but leading through this phase with purpose and empathy. Page terms this as 'the messy middle'. Even though people are likely to break things, they should celebrate the ones who experiment. Organisations should strive to make failing forward a part of their culture. Normalise learning and celebrate the bold. At a time when there is a mad rush to scale, leaders should avoid simply tracking usage and focus on tracking value. These could simply be where you are saving time, which domains are showing enhanced productivity, or even where human potential is being unlocked. Page believes that ROI should be about real human outcomes and not vanity metrics. The author claims that this is not a checklist but a cultural shift, and she believes that one should focus on building trust, learning, and transparency. Elaine Page is currently a chief people officer, board advisor, and talent strategist known for building high-performing teams. Based on my interactions with enterprise leaders, tech innovators, and organisational experts, one recurring theme is the lack of clear direction around AI adoption. But insights from leaders like Page suggest a growing effort to bring clarity and structure to what often feels like a chaotic wave of advancement. Her post offers not just guidance, but a much-needed human lens on transformation. Bijin Jose, an Assistant Editor at Indian Express Online in New Delhi, is a technology journalist with a portfolio spanning various prestigious publications. Starting as a citizen journalist with The Times of India in 2013, he transitioned through roles at India Today Digital and The Economic Times, before finding his niche at The Indian Express. With a BA in English from Maharaja Sayajirao University, Vadodara, and an MA in English Literature, Bijin's expertise extends from crime reporting to cultural features. With a keen interest in closely covering developments in artificial intelligence, Bijin provides nuanced perspectives on its implications for society and beyond. ... Read More
