Episode summary
US Productivity Accelerates to Fastest Pace in Two Years
Bloomberg Surveillance
· · Guests: Freya Beamish
Summary
Freya Beamish argues that the recent jump in U.S. productivity is real in the data but may be overstated as a market signal. She says investors are too quick to treat the productivity surge as proof that the U.S. has “cracked the code on AI,” when some of the improvement may instead reflect a temporary mix of AI capex, tariff uncertainty, and firms not hiring. If labor market conditions improve, she expects the productivity boost to fade and look more like a statistical mirage.
On the labor market, Beamish describes the U.S. as a “low hire, low fire” environment and says weak payroll growth does not automatically imply recession. She points to still-healthy corporate profit margins and post-Covid labor shortages as reasons firms may avoid layoffs even as hiring slows. But if growth stays strong and companies are eventually forced to resume hiring, productivity readings should come down.
Beamish is more constructive on China than many investors, saying it may have bottomed and could see a few quarters of growth from more fiscal stimulus. By contrast, she thinks supply-side response outside the U.S. will be crucial this year, or inflation could remain sticky and force central banks or the bond market to tighten financial conditions.
Key takeaways
- Beamish says U.S. productivity strength is real but may be partly a temporary “statistical mirage” tied to AI spending, tariffs, and weak hiring.
- She argues the U.S. labor market is in a low-hire, low-fire state, so sub-100,000 payroll growth does not automatically mean recession.
- Beamish expects productivity gains to fade if hiring reaccelerates, because the current weakness in labor input is helping the numbers.
- She thinks many economies face a supply-side test this year: if private-sector capex does not respond to fiscal demand, inflation could stay sticky.
- Beamish is constructive on China near term, saying more fiscal stimulus could deliver a few quarters of growth and that China may have already bottomed.
Notable quotes
“I just think that in terms of like how that's getting priced into markets, we've already had that kind of validation that the U.S. can perform in terms of productivity growth”
“I think there's a little bit too much of a tendency in investors to sort of think that that is just that productivity growth outperformance is a is a clue that the U.S. has cracked the code on AI”
“Yeah, it totally is. And so we can't actually sort of extrapolate anything from the historical data on the weakness of the labor market because it's it's not like that weakness is is not an indication that we're pre-recession”
How the episode opens
Yeah, I think maybe there's a little bit of over extrapolation in the to the consensus forecasts for next year from the productivity out time in the U.S. from last year. And I love the trend in productivity growth in the U.S.
I just think that in terms of like how that's getting priced into markets, we've already had that kind of validation that the U.S. can perform in terms of productivity growth, whereas we haven't had that with regards to to the rest of the world. And I think we will get it this year.
And then in addition to that, when we think about like the conversation you were having with Neal was fascinating because there's this statistical way of calculating productivity growth. But then there's this kind of nebulous thing which is like total factor productivity growth trend, right? And we all like to extrapolate from the statistics, but actually the statistics last year, I think there's a little bit too much of a tendency in investors to sort of think that that is just that productivity growth outperformance is a is a clue that the U.S.
has cracked the code on AI and the rest of the world is just a little bit too beat me to do that. Whereas actually probably what's happened is that in the in the numerator of that productivity statistic, you've got all the AI CapEx and in the denominator you've got all the uncertainty of of tariffs and companies not hiring. And so actually it's just a sort of temporary boost to activity.
But and if you get the acceleration in the labor market, then that's going to be it's going to turn out to have been a bit of a mirage. Here's the productivity math. Paul, good morning.
Pittsburgh, Pennsylvania.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- us productivity
- labor costs
- inflation pressure
- unit labor costs
- unemployment claims
Companies and tickers mentioned
- TS Lombard
- High Frequency Economics
Watch the episode
Watch “US Productivity Accelerates to Fastest Pace in Two Years” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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