Thread

AI needs $6T in annual revenue to justify data centre boom

222 points · 335 comments · Betelbuddy

bunderbunder · 1790711630 · focus · HN ↗
They talk a bit about where the AI companies are supposed to get their revenue from. I’d like to see these analyses go a step further and talk about how those AI customers are supposed to come up with that money as well.
For example, the article suggests $1T from enterprise productivity tooling. A quick Google suggests the global enterprise productivity tooling market is only worth about $0.1T right now.
Do we really expect all the world’s corporations to suddenly up their annual spend by 1,000% on average? Why?
1. Legend2440 · 1790712395 · focus · HN ↗
  Keep in mind wealth is not a fixed thing. If AI makes their businesses more productive, it would allow the creation of more wealth, giving them more money to pay for AI with.
  This of course hinges on the big if: does AI create wealth? I think yes, but maybe not $6 trillion of it in five years.
  1. bunderbunder · 1790714104 · focus · HN ↗
    But that's where the "Why?" comes in.
    At a time when corporate CEOs are largely saying that they can't see that AI has improved office productivity at all, why should we believe that a killer productivity application of genai that's amazing enough to justify an order of magnitude increase in enterprise spending on productivity tools is just around the corner?
    strulovich · 1790714353 · focus · HN ↗
    Are they saying it right now?
    I think CEOs could honestly say it a year ago, but by now the numbers of those who say so should be dwindling.
    Recent surveys by BCG and others suggest things have changed.
    Personally, I know many people in different fields who’ve seen crazy speed ups in many of their tasks.
    bunderbunder · 1790715240 · focus · HN ↗
    The latest BCG report I saw on this was the one from this summer that found that employees are saying they're saving time, but businesses still haven't figured out how to turn that into dollars.
    And employees self-reporting that they saved time doesn't necessarily mean they actually save time. Humans are famously crap at estimating that sort of thing.
    bluefirebrand · 1790718326 · focus · HN ↗
    [dead]
    fy20 · 1790737481 · focus · HN ↗
    The same report said 67% of regular AI users have increased job satisfaction, so that has value. Even from an entirely capitalist mindset you cannot argue that increased satisfaction = increased wellbeing = less time on sick leave = increased productivity.
    <a href="https://www.bcg.com/press/3june2026-ai-reshaping-jobs-faster-than-companies-reshaping-work" rel="nofollow">https://www.bcg.com/press/3june2026-ai-reshaping-jobs-faster...
    bootsmann · 1790746042 · focus · HN ↗
    Less time on sick leave would be measurable…
    bunderbunder · 1790786077 · focus · HN ↗
    I'd want to know a lot more about how they get that number before trying to extrapolate it to a general business trend. There could be a huge self-selection bias there. Perhaps people who enjoy using AI are significantly more likely to become regular AI users. In which case, what that statistic really says might only be, "People who like a thing report that they enjoy using it."
    You also have to be careful about the Hawthorne Effect. It's quite common for workplace interventions to produce improved productivity measures that are illusory or fleeting because what workers are really responding to is the novelty of the change or the simple fact that they know they're being observed.
    Which doesn't necessarily mean that the benefits people are seeing right now aren't real. Just that, again, it may not translate to a sustained financial benefit that would justify a meaningful contribution to a global $6T/year rate of AI spending.

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