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Nvidia CEO Jensen Huang has been pushing back against the popular narrative that AI will wipe out huge swaths of the workforce, but he also placed some blame on overly confident CEOs who assume they know everything.<\/p>\n
In an interview this week with the Special Competitive Studies Project, he said that while people warning about an AI apocalypse are trying to be helpful, such predictions will backfire.<\/p>\n
\u201cIf we convinced all the young college graduates to not be software engineers, and it turns out the United States needs more software engineers than ever, that\u2019s hurtful,\u201d Huang explained. \u201cSo we have to be mindful of how we communicate the importance of this technology and what it\u2019s able to do.\u201d<\/p>\n
That\u2019s as the advent of AI agents has made coding accessible to a broader range of users while also allowing engineers to write much more code. Investors have sold shares of software companies, fearing enterprise customers will use AI to create their own platforms.<\/p>\n
Although it\u2019s important to advocate for guard rails on AI, he added that scaring people into believing that the technology will pose an existential threat to humanity, destroy democracy or eliminate 50% of entry-level jobs is \u201cridiculous.\u201d<\/p>\n
He didn\u2019t name names, though Anthropic CEO Dario Amodei has previously said AI could wipe out roughly 50% of all entry-level white-collar jobs.\u00a0<\/p>\n
\u201cThey\u2019re made by people who are like me, CEOs, and somehow because they became CEOs you adopt a God complex, and before you know it you know everything,\u201d Huang said. \u201cAnd so I think we have to be careful and really ground ourselves to talking about the facts.\u201d<\/p>\n
In reality, he estimated that AI has created more than half a million jobs in the last few years. That\u2019s because when companies incorporate AI, they grow faster and hire more people.<\/p>\n
And data from hiring site Indeed shows that demand for software engineers is actually increasing. Huang said this demonstrates the difference between a job\u2019s task and its purpose, which often get conflated by AI doomsayers.<\/p>\n
In software engineering, for example, the task is coding, but the purpose is innovation, problem-solving, connecting disparate ideas, and identifying new needs. <\/p>\n
Another flaw in AI apocalypse arguments is that it assumes demand for coding is somehow fixed at 1 billion lines of code a day, according to Huang.<\/p>\n
\u201cWe need a trillion lines of code written,\u201d he said. \u201cWe need way more code written than that because we have the imagination of solving problems whether it\u2019s in healthcare or science or in manufacturing and retail.\u201d <\/p>\n
The difference is that humans don\u2019t have to sit at a keyboard anymore to write code and can instead use AI to do it. <\/p>\n
That also speaks to the so-called Jevons paradox, which says that greater\u00a0efficiency can dramatically boost consumption. Apollo Global Management chief economist Torsten Slok applied it to the AI age, predicting that AI adoption will beget more jobs, not fewer. <\/p>\n
When the cost of professional work falls as AI makes tasks more efficient, the market for those tasks will actually expand. The total number of firms and workers in those fields\u2014from law to accounting to consulting\u2014will grow.<\/p>\n
\u201cWhen steam engines made coal more efficient, Britain didn\u2019t burn less coal, it burned more,\u201d Slok wrote in a recent\u00a0note. \u201cThe same pattern is happening for cheaper legal services, consulting services and financial services.\u201d<\/p>\n<\/div>\n
#Jensen #Huang #CEOs #God #complex #apocalypse #warnings<\/p>\n","protected":false},"excerpt":{"rendered":"
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