What podcasts say about Hyperscaler AI spending
Every statement, with the speaker, the exact quote and the moment it was said.
What experts have said about Hyperscaler AI spending
5 statements · 2 positive · 2 negative · 1 mixed
Hyperscaler AI capital expenditure can continue increasing if productivity and returns materialize.
“I actually think it can keep going higher if the productivity benefits come through and if the returns come through.”
Open the episode · Why T. Rowe Price’s Iona Dent believes it’s not time to leave the equities party yetListen at 14:58
Hyperscalers may abruptly stop AI spending if returns disappoint shareholders.
“at some point they may well say we're not getting a return on this money and our shareholders are sick of it and they want us to start making cash again. And so it all comes to a halt”
Open the episode · Housing Crash Gets Real, NVIDIA’s AI Factory Gamble, Canva’s MarkdownListen at 20:40
Hyperscaler AI capital expenditure may reach $1.2–$1.3 trillion next year.
“we wouldn't be surprised if next year's figure actually goes closer to $1.2 to $1.3 trillion.”
Open the episode · AI investors are getting nervous. Should they be?Listen at 6:35
Hyperscaler CEOs are encouraging optimistic interpretations amid substantial uncertainty.
“It is so uncertain and it is effectively a little bit of a game here where the CEOs want us to sort of dream the dream”
Open the episode · AI investors are getting nervous. Should they be?Listen at 11:40
Hyperscalers shift AI capital expenditure into operating expenditure presentation.
“it's really capex that you're just shifting to OPEX so that it doesn't look too bad in your own financial statements”
Open the episode · AI Bubble, Waymo Ditches Uber, Jacinta Allan’s Disaster, KPMG Scandal and Jim Chalmers’ Crashes Housing in All the Wrong PlacesListen at 51:05
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.