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Time of India
26 minutes ago
- Time of India
You can still outpace AI: Wharton professor reveals a ‘skill bundling' strategy to safeguard your future from automation
As artificial intelligence reshapes the modern workplace with stunning speed, one Wharton professor has a sobering message for today's professionals: the safest jobs of tomorrow aren't necessarily the most technical—they're the most complex. Ethan Mollick, associate professor at the Wharton School and author of Co-Intelligence: Living and Working with AI, says job security in the AI era will increasingly depend on choosing roles that bundle multiple human skills together. That means emotional intelligence, judgment, creativity, and domain expertise—all woven into one. 'AI may outperform you in one or two things,' Mollick tells CNBC Make It, 'but if your job requires five or six of them, it's a lot harder to replace.' Explore courses from Top Institutes in Please select course: Select a Course Category Project Management Data Science Operations Management Healthcare Data Analytics others Public Policy Product Management Others Digital Marketing Management Degree CXO Cybersecurity MBA Data Science healthcare Technology Leadership Finance MCA Artificial Intelligence Design Thinking PGDM Skills you'll gain: Portfolio Management Project Planning & Risk Analysis Strategic Project/Portfolio Selection Adaptive & Agile Project Management Duration: 6 Months IIT Delhi Certificate Programme in Project Management Starts on May 30, 2024 Get Details Skills you'll gain: Project Planning & Governance Agile Software Development Practices Project Management Tools & Software Techniques Scrum Framework Duration: 12 Weeks Indian School of Business Certificate Programme in IT Project Management Starts on Jun 20, 2024 Get Details It's the kind of insight that redefines how we think about employability in an increasingly automated world. And with AI usage surging—40% of U.S. workers now use it at least a few times a year, per a Gallup poll—these career choices have never mattered more. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Find out: this is how you clean your yoga mat! Kingdom Of Men Undo 'They're Aiming for Mass Unemployment' Mollick doesn't sugarcoat the AI wave ahead. Tech labs aren't just chasing progress—they're chasing a paradigm shift. 'Labs are aiming for machines smarter than humans within the next three years,' Mollick warns. 'They're betting on mass unemployment. Whether they succeed or not is still unclear, but we have to take it as a real possibility.' You Might Also Like: Nvidia CEO Jensen Huang calls AI the 'greatest equalizer of our time', predicts it will create more millionaires than the internet Even Nvidia CEO Jensen Huang , whose company powers some of the most advanced AI systems, echoes that sentiment—albeit from a different vantage point. In a recent All-In podcast, Huang predicted AI will create more millionaires in five years than the internet did in 20, while also cautioning: 'Anybody who is not using AI will lose their job to someone who is.' Pick the Job with Layers, Not Just Titles What's the solution? According to Mollick, job seekers must rethink their strategy. 'Don't go for roles that do one thing,' he says. 'Pick a job like being a doctor—where you're expected to be good at empathy, diagnosis, hand skills, and research. If AI helps with some of it, you still have the rest.' This idea of "bundled roles"—where a single job draws on varied skills and responsibilities—could be the firewall against replacement. These complex, human-centered positions are harder for AI to replicate wholesale and leave more room for humans to collaborate with AI, not compete against it. Gen Z's Entry-Level Catch-22 AI's evolution could make entry-level roles scarce—or at least, radically different. 'Companies will need to rethink entry-level hiring,' Mollick notes. 'Not just for productivity, but for training future leaders.' You Might Also Like: Former Google CEO Eric Schmidt warns of AI superintelligence outpacing Earth's energy limits: 'Chips will outrun power needs' Without the chance to learn through repetition—what Mollick calls 'apprenticeship'—younger workers may miss out on foundational skills. The result could be a workforce with knowledge gaps AI can't fill, even as those same gaps are used to justify greater automation. AI's Double-Edged Sword: Democratizer or Divider? Nvidia's Huang calls AI the 'greatest equalizer of our time' because it gives creative power to anyone who can express an idea. 'Everybody is a programmer now,' he says. But critics caution that this accessibility may also deepen divides between the AI-literate and those left behind. Eric Schmidt , former Google CEO, has a different concern: infrastructure. On the Moonshots podcast, Schmidt warned that AI's growth could be throttled not by chips, but by electricity. The U.S., he says, may need 92 more gigawatts of power to meet AI demands—equivalent to 92 new nuclear plants. As AI spreads into every corner of work, from payroll review (yes, Huang uses machine learning for that too) to high-stakes decision-making, the one thing that's clear is this: the rules are changing faster than most organizations can adapt. AI's Real Disruption? Leadership That Lags 'The tools are evolving fast,' Mollick says, 'but organizations aren't. And we can't ask employees to figure it all out on their own.' He believes the real danger isn't AI itself—but the lack of vision from leadership. Without a clear roadmap, workers are left adrift, trying to 'magic' their way into the future. In the race to stay relevant in the AI era, the best defense isn't to out-code or out-process a machine. It's to out-human it—by doubling down on the kind of nuanced, multi-layered work AI can't yet replicate. And by choosing jobs that ask you to wear many hats, not just one. Or as Mollick puts it: 'Bundled tasks are your best bet for surviving the AI takeover.'
New Indian Express
2 hours ago
- New Indian Express
Thiruvananthapuram startup Netrasemi raises Rs 107 crore from Zoho Corp, Unicorn India Ventures
KOCHI: Kerala-based semiconductor startup Netrasemi has raised Rs 107 crore in the Series A round from Zoho Corporations Ltd & Unicorn India Ventures. This is the single largest funding raised by the startup compared to the earlier rounds. In the earlier rounds, the company had raised a total of Rs 125 crore. Speaking to TNIE, Jyothis Indirabhai, co-founder and CEO of Netrasemi, said, 'The funds raised will be used for accelerating research and development initiatives, expand manufacturing capabilities, enhance marketing efforts to capture larger domestic and global market share, bring four system-on-chip variants with advanced AI and video analytics features into production and address compute platform requirements of original equipment manufactures (OEMs) for surveillance, industrial robotics, and smart infrastructure products.' According to him, the startup has successfully completed the development of two System on a Chip (SoC) products. 'The company is focused on developing SoCs that enable optimal computing for smart IoT products, particularly for addressing complex workloads like video processing. These chips can be used in devices, making them capable of performing advanced AI-based analytics directly, eliminating the need to send data to servers or the cloud.' This capability is powered by Netrasemi's energy-efficient deep-neural AI acceleration core (NPU) and comprehensive portfolio of in-house silicon intellectual properties. In the last 12 months, the company has completed development of two Edge-AI chips with advanced video capabilities, initiated development of CCTV AI camera chip for Indian market, established partner agreements for evaluation boards and platform development, signed multiple MOUs with global partners for sample release and product R&D and secured interest and requirements from multiple OEMs for platform development using Netrasemi SoCs.
Economic Times
2 hours ago
- Economic Times
Nvidia CEO Jensen Huang calls AI the ‘greatest equalizer of our time', predicts it will create more millionaires than the internet
Synopsis Nvidia's CEO, Jensen Huang, predicts AI will create more millionaires in the next five years than the internet did in twenty, democratizing wealth creation by making everyone a programmer, artist, and author. He envisions companies operating both physical and digital factories, with small AI teams generating billions in value. Reuters Nvidia's CEO, Jensen Huang, predicts AI will create more millionaires in the next five years than the internet did in twenty, democratizing wealth creation by making everyone a programmer, artist, and author. He envisions companies operating both physical and digital factories, with small AI teams generating billions in value. Nvidia CEO Jensen Huang is no stranger to making bold claims, but his latest prediction might just redefine how we view the next era of innovation. Speaking on the All-In podcast hosted by venture capitalist Chamath Palihapitiya, Huang forecasted that 'AI will create more millionaires in five years than the internet did in 20.' In an era where AI is evolving faster than policy and public understanding can keep pace, Huang's perspective offers both a reality check and a roadmap for those hoping to ride the next tech wave. The takeaway? The AI revolution is already here, and those who don't adapt may be left behind. When asked why he calls AI the 'greatest technology equaliser,' Huang responded with a transformative view: 'Everybody is a programmer now.' According to the Nvidia CEO, the traditional gatekeeping of coding languages like C++ or Python has faded. With AI interfaces, people now only need to express an idea in natural language to create something powerful. 'Everybody is an artist now; everybody is an author now,' Huang said, explaining that AI bridges the gap between imagination and execution. The CEO believes this accessibility will democratize wealth creation, empower creatives, and allow smaller teams to deliver enterprise-level impact. Huang believes that in the near future, every company will operate two factories—one physical and one digital. 'Tesla builds cars in one factory, and in another, it builds the AI that powers them,' he explained. This model, he claims, will soon apply to every major industrial business, not just tech startups. And the scale? Staggering. Nvidia plans to produce about $500 billion worth of AI supercomputers in Arizona and Texas over the next four years. These machines are expected to drive trillions in economic value across industries. In a conversation during the Hill and Valley Forum, Huang revealed the financial impact of compact, focused AI teams. Citing examples like OpenAI and China's DeepSeek—each initially staffed with about 150 researchers—Huang estimated these teams can produce value worth $20 to $30 billion, or roughly $200 million per person. 'No industry in history has ever had this kind of leverage,' he asserted, underlining how mid-sized teams, when backed with the right resources, can transform markets at lightning speed. In fact, Huang noted, 'I've created more billionaires on my management team than any CEO in the world. They're doing just fine.' In an unexpected insight into Nvidia's internal culture, Huang also shared his hands-on approach to employee compensation. He confirmed that he personally reviews every proposed salary and stock grant at the company—yes, all 42,000 employees—and uses machine learning to sort through recommendations. '100% of the time, I increase the company's spend on OpEx,' Huang said, 'because you take care of people, and everything else takes care of itself.' And yes, he jokingly added, he does 'carry stock options in his pocket.' Huang issued a word of caution for professionals stuck in old ways. 'Anybody who is not using AI is going to lose their jobs to someone with knowledge of AI,' he said. This wasn't framed as a threat, but rather a reflection of the new baseline in skill development. For those who've long felt tech was inaccessible, AI may offer an unexpected second chance to get ahead. 'The barrier between idea and execution has collapsed,' Huang declared.
