'Bill Gates está equivocado sobre el impuesto a los robots': Jensen Huang, CEO de Nvidia

Nvidia CEO Jensen Huang has publicly disagreed with billionaire Bill Gates on the idea of implementing a "robot tax" to address potential job losses caused by artificial intelligence advancements. During an interview with Fox Business’s The Claman Countdown, Huang stated that while he respects Gates, he does not share the Microsoft co-founder’s view on how to manage the economic shifts brought by AI. Huang emphasized that his vision for distributing the benefits of the AI revolution differs significantly from Gates'. The debate over a robot tax resurfaced following Gates’ recent essay, titled “The turbulent AI era is here. The choices we make now are critical.” In the piece, Gates highlighted a disparity in current tax policies that might encourage businesses to replace human labor with automation. He noted that employers currently pay payroll taxes on wages, whereas purchasing a robot often allows immediate deduction as a business expense. This, according to Gates, creates an incentive for companies to favor automation over hiring people, potentially accelerating job displacement. Gates has long advocated for such a tax, having proposed the idea as early as 2017. At the time, many economists were skeptical, arguing that the concept was essentially a tax on productivity gains rather than a solution to employment challenges. Gates, however, maintains that governments would benefit from such a levy, as AI-driven automation could lead to reduced income tax revenues from traditional employment. He believes a robot tax could help fund retraining programs and strengthen social safety nets. Huang, on the other hand, expressed openness to taxation but rejected the specific notion of a robot tax. “I’m in favour of taxes,” he said. “And I think that … for anybody who is productive, it’s a great way for us to contribute back to society and the economy. But the fact of the matter is, there are probably lots of different ways to approach this.” He argued that the AI era would ultimately be a net job creator, despite disruptions to certain industries. “Of course, the nature of jobs will change, as it already has,” Huang acknowledged. “However, I believe this will be a net job creator. There will be many jobs disrupted, so we have to be sensible and supportive of those affected.” Contrary to Gates’ assertion that increased productivity might lead to layoffs, Huang pointed to historical precedents suggesting otherwise. “When companies are more productive, they don’t lay off people, they hire more people,” he said. “The reason for that is because companies have ambitions, and I would say the vast majority of the world’s companies have ambitions for growth. When they’re more productive and more profitable, it allows us to invest more and go after more growth.” Huang also outlined a broader economic transformation he anticipates, describing it as a period of reindustrialization. He noted that while there are many white-collar workers, the coming years will also see a surge in demand for skilled blue-collar labor. “We have lots and lots of white-collar workers, but we’re also going to have a lot of skilled labour,” he said. “And having a large population of skilled labour and people who build things and make things with their hands is tremendous for the United States.” He specifically mentioned trades such as plumbing and electrical work, predicting these professions will become increasingly valuable as global infrastructure expands, particularly with the rise of data centers. “We want to reindustrialise the United States,” Huang said. “We want to create more jobs. And all of that’s going to happen right now as we speak with AI.” While Gates has focused on the potential risks of AI-driven job loss and the need for policy interventions, Huang has taken a more optimistic stance, emphasizing opportunities for growth and employment creation. His comments reflect a broader optimism within the tech industry regarding the transformative power of AI, even as concerns about its societal impact continue to grow. Huang’s remarks come amid increasing discussions about the future of work and the role of government in managing technological change. As AI continues to reshape economies worldwide, the debate over how best to balance innovation with social responsibility remains central to policy discussions.