Curated from MIT Technology Review — Here’s what matters right now:
When I picked up my daughter from summer camp, we settled in for an eight-hour drive through the Appalachian mountains, heading from North Carolina to her grandparents’ home in Kentucky. With little to no cell service for much of the drive, we enjoyed the rare opportunity to have a long, thoughtful conversation, uninterrupted by devices. The subject, naturally, turned to AI. “No one my age wants AI. No one is excited about it,” she told me of her high-school-age peers. Why not? I asked. “Because,” she replied, “it seems like all the jobs we thought we wanted to do are going to go away.” I was struck by her pessimism, which she told me was shared by friends from California to Georgia to New Hampshire. In an already fragile world, one increasingly beset by climate change and the breakdown of the international order, AI looms in the background, threatening young people’s ability to secure a prosperous future. It’s an understandable concern. Just a few days before our drive, OpenAI CEO Sam Altman was telling the US Federal Reserve’s board of governors that AI agents will leave entire job categories “just like totally, totally gone.” Anthropic CEO Dario Amodei told Axios he believes AI will wipe out half of all entry-level white-collar jobs in the next five years. Amazon CEO Andy Jassy said the company will eliminate jobs in favor of AI agents in the coming years. Shopify CEO Tobi Lütke told staff they had to prove that new roles couldn’t be done by AI before making a hire. And the view is not limited to tech. Jim Farley, the CEO of Ford, recently said he expects AI to replace half of all white-collar jobs in the US. These are no longer mere theoretical projections. There is already evidence that AI is affecting employment. Hiring of new grads is down, for example, in sectors like tech and finance. While that is not entirely due to AI, the technology is almost certainly playing a role. For Gen Z, the issue is broader than employment. It also touches on another massive generational challenge: climate change. AI is computationally intensive and requires massive data centers. Huge complexes have already been built all across the country, from Virginia in the east to Nevada in the west. That buildout is only going to accelerate as companies race to be first to create superintelligence. Meta and OpenAI have announced plans for data centers that will require five gigawatts of power just for their computing—enough to power the entire state of Maine in the summertime. It’s very likely that utilities will turn to natural gas to power these facilities; some already have. That means more carbon dioxide emissions for an already warming world. Data centers also require vast amounts of water. There are communities right now that are literally running out of water because it’s being taken by nearby data centers, even as climate change makes that resource more scarce. Proponents argue that AI will make the grid more efficient, tha
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Original reporting: MIT Technology Review