Oct 28, 2026 · 41 min
AI spending tests markets’ faith in growth and productivity
Fed Decision and Tech Earnings
The episode connects the Fed’s inflation dilemma with a larger investment question: whether AI-driven growth will deliver durable productivity, profits, and broader economic gains.
- 1Inflation’s persistence reflects competing demand and cost pressures, limiting what monetary policy can accomplish.
- 2AI may deepen capital and raise productivity, but distributional effects could matter more than permanent mass unemployment.
- 3Investors are demanding proof that enormous AI spending will generate free cash flow, infrastructure returns, and stronger technology earnings.
Don't miss
The conversation reframes AI’s labor impact, arguing that income distribution, real wages, pensions, and housing may be more consequential than permanent mass unemployment.
The brief
Constance Hunter frames the Fed’s next move against persistent inflation, energy spillovers, consumer delinquencies, and a debate over whether the 2% target still fits a changing economy.
The labor question is less straightforward than a forecast of mass unemployment: AI could substitute for work while widening pressure on real wages, pensions, housing access, and income distribution.
David Schassler links AI’s long investment runway to physical bottlenecks, arguing that energy, metals, mining, and transportation could become as important as software and chips.
The technology discussion turns practical as Microsoft layoffs and Alphabet’s results raise the same test: can AI spending improve free cash flow and the core business?
The episode’s sharpest tension is between AI’s potential to deepen capital and productivity and the harder question of whether GDP gains translate into broader social welfare.
What was said on this episode
28 statements · 11 positive · 10 negative · 4 mixed · 3 neutral
Energy price spikes may spill over into services inflation.
“the real question is, do the energy price spikes spill over into services?”
Listen at 3:32
AI-driven demand may create broader inflationary effects, but the outcome is uncertain.
“Is there demand pull inflation, enough demand pull inflation from AI that's going to have broader inflationary effects, or is that going to be contained?”
Listen at 3:39
The Bank of Japan and Bank of England will hold rates and wait.
“They are both going to hold and wait and see.”
Listen at 4:25
An insurance cut could justify an immediate rate cut while signaling inflation toughness.
“If it is an insurance cut and what they are signaling is they're tough on inflation, you can make a strong argument that they cut today.”
Listen at 4:40
Rising global frictions, security, supply constraints, and statism push prices and sometimes demand higher.
“we are increasing frictions, where global institutions are not easing global frictions, where security, supply, and statism are really pushing up prices and in some cases pushing up demand.”
Listen at 6:02
AI-related goods currently represent a small share of the inflation basket.
“It's really not an AI-related component. It's not a large percent of the basket.”
Listen at 6:23
AI’s inflation-basket share could grow as AI expands, but this remains unknown.
“can that grow as this continues to grow? And that is, I think, an unknown, but something that we are closely monitoring.”
Listen at 6:29
Persistently high inflation makes business operations more difficult.
“you don't want persistently high inflation because that just that is that makes it difficult for businesses to operate.”
Listen at 7:35
A significant cohort of consumers and households is financially stretched.
“there's a significant cohort of them.”
Listen at 8:27
Labor demand usually recovers after productivity events as productivity expands.
“when you have these sort of productivity events, usually the labor demand recovers as productivity expands and you reabsorb these workers.”
Listen at 12:51
AI is unlikely to create permanently unreabsorbed mass unemployment.
“I wouldn't be afraid of this sort of Luddite sort of idea that we're forever going to create a mass unemployment that somehow can't be reabsorbed.”
Listen at 13:43
AI labor reabsorption may weaken capital ownership, pensions, and housing access.
“capital and the people's ability to own a pension and buy a house.”
Listen at 14:06
Inflation expectations strongly affect realized inflation.
“inflation expectations matter a lot for inflation.”
Listen at 14:54
Fed credibility on inflation can prevent long-term Treasury yields from reaching 6%.
“by being seen to be. caring about inflation, they get credibility for the long end of the market, which stops interest rates going up to, say, 6% in 10s or 30s.”
Listen at 15:28
“you still probably ought to have a government security that's close to 4, not 5.”
Listen at 16:22
AI may produce unusually profound capital deepening because its assets depreciate slowly.
“this is a more profound capital deepening than perhaps we've seen before when depreciation might be much faster”
Listen at 18:46
Business adoption of language models is still in its early stages.
“the take up. of these language models is really still only just beginning.”
Listen at 19:15
GDP is a poor measure of societal welfare.
“I think the GDP is a terrible measure of welfare.”
Listen at 19:55
AI technology is rapidly improving while its infrastructure remains under construction.
“The technology is still being refined. It's improving at rates faster and faster and faster. The infrastructure is still being built.”
Listen at 21:51
Investors should favor broadly diversified AI infrastructure-development companies.
“the best way to play it we think from here is you want to think about infrastructure development companies”
Listen at 22:06
Gold prices are expected to rise substantially, potentially reaching beyond $5,500.
“We think gold goes a lot higher. You think you go to $5,500 and beyond.”
Listen at 26:06
AI is expected to increase productivity and economic growth.
“AI promises more productivity, more economic growth.”
Listen at 27:19
Broad AI investment proof is likely to emerge over five to seven years.
“Five to seven years is likely where you're at.”
Listen at 27:55
Technology companies with negative free cash flow are more likely to reduce staff.
“Bottom of the log has negative free cash flow. And those are the companies that have also taken action in most cases.”
Listen at 34:03
Google struggles to convince investors that cloud growth proves AI is succeeding.
“they're having a really hard time convincing um the market of the straightforward equation that if their cloud business is growing beyond 90 year on year that's evidence that ai is going well for them”
Listen at 35:57
Microsoft and Alphabet are unlikely to reduce AI spending growth rates.
“There's no reason to believe that we'll hear from either Microsoft or Alphabet that they are reducing the growth rate of their spending”
Listen at 36:21
Companies are increasingly building on-premises data centers for local AI.
“Companies, big and small, are building little data centers on-prem”
Listen at 38:07
Personal, locally hosted AI is becoming widespread.
“that is what is happening.”
Listen at 38:27
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.
Weekly email
State of the Pod, every Monday
The week's most-discussed names and stories from podcasts, with the moments behind them. Free, five minutes, unsubscribe in one click.