posted in Technology
AI needs $6tn in annual revenue to justify data centre boom, Bain says | The National
www.thenationalnews.com/future/technology/2026/09/29/ai-industry-needs-to-earn-6-trillion-by-2031-to-justify-data-centres/posted in Technology
AI needs $6tn in annual revenue to justify data centre boom, Bain says | The National
www.thenationalnews.com/future/technology/2026/09/29/ai-industry-needs-to-earn-6-trillion-by-2031-to-justify-data-centres/Replying to @themachinestops@lemmy.dbzer0.com
Ok so this is interesting. I am not sure this number is accurate I haven’t fully vetted it. I do this same type of forecasting. Morgan Stanley said for current capex commitments by 2027 4th quarter they needed to be 700 billion in profit. The problem is to meet that number they would need full market saturation and another 3 trillion in capex for build out. That means the entire accessible market would be using AI. They have another problem that more than half the world cannot access AI in its current form. The tooling these companies are using are wasteful and don’t meet the bandwidth needs of mobile first countries. So until the industry adopts things like codecai.net half the world’s markets are inaccessible. Finally they are under attack from all sides even if they had the money they may not have the ability to build out the AI infrastructure because that build out is becoming untenable for most communities. Even more the open source models and low cost AI are already in someways encroaching quickly on frontier systems. If you look at it right now the only reason you don’t have home AI as a commonplace solution is because the manufacturer has chosen not to sell it to you.
Replying to @Zeniv@lemmy.quasarke.net
If you look at it right now the only reason you don’t have home AI as a commonplace solution is because the manufacturer has chosen not to sell it to you.
And memory shortage. By buying up all RAM they ensured that you can’t run much more than lobotomized models.
Replying to @Damage@feddit.it
Still much cheaper to run an open source model on a rented gpu from the cloud.