Trillions have been poured into AI infrastructure compute, energy, talent, data centres and the spending isn’t slowing down. But when you look around for actual economic impact, it’s surprisingly hard to find. GDP isn’t moving. Productivity statistics aren’t reflecting anything dramatic yet. The standard defence is “just wait, it took 30 years for electrification to show up in productivity data.” But you genuinely cannot say that to someone who wrote a $50 billion cheque last year. That’s not a serious answer at that scale of capital commitment. Here’s what I keep coming back to the only bet that actually vindicates these numbers isn’t chatbots helping people write emails faster. It’s the genuine displacement of white collar labour at scale. Legal work, financial analysis, consulting, accounting, software development. That’s the magnitude of disruption needed to actually move the needle on GDP and justify what’s been spent. And these companies are almost trapped by their own promises. Automate aggressively and face political and regulatory backlash. Don’t automate fast enough and the economics fall apart at current valuations. submitted by /u/No_Good_6235
Originally posted by u/No_Good_6235 on r/ArtificialInteligence