Episode summary
Cathie Wood: Did The Market Overreact To The Election? | In The Know
ARK Invest
· · 1 hr · Hosts: Cathie Wood
Summary
Cathie Wood argues the market’s post-election selloff and the backlash around data centers reflect noise more than a change in the long-term innovation story. She says midterm-election history usually points to gains in the year after the vote, and she reads this year’s state and local ballot results as more balanced than the congressional headlines suggested. In her view, inflation, oil pressure from the Iran war, and fears about taxes and spending helped shape the outcome and the market’s recent volatility.
A major theme is that AI adoption is still very early. She cites Ramp data showing the top 1% of companies spending nearly $10,000 per employee per month on frontier AI models, while most firms spend $15, and says that gap shows how much room there is for efficiency gains. She argues AI inference costs are falling sharply, that software deflation is being understated in CPI and PPI, and that productivity data already show gains in AI-intensive sectors.
Wood also says the data center story has been misread. She points to Virginia and Texas communities where property taxes fell, schools and public amenities are being built, and economic development is accelerating. She expects lower oil prices, lower inflation, stronger productivity, and eventually higher real growth, while warning that companies not adopting AI aggressively risk falling behind.
Key takeaways
- Cathie Wood says the post-election reaction may be overdone because midterm years have historically been followed by stronger markets.
- She argues the ballot initiatives were more mixed than the congressional result, with many local votes leaning against higher taxes and tighter regulations.
- Wood says Ramp data show frontier AI spending is highly concentrated, with the top 1% spending nearly $10,000 per employee per month versus $15 for everyone else.
- She believes AI software deflation is being understated and that falling inference costs will feed lower inflation and higher productivity.
- Wood says data centers can lower property taxes and drive local development when communities manage them well, citing Virginia and Texas examples.
- She expects productivity gains, lower oil prices, and AI adoption to support stronger real GDP growth over time.
Notable quotes
“the top 1% are paying almost $10,000 per employee per month”
“the rest spend $15 per month per employee. That's how early we are in this cycle”
“AI inference costs are dropping 99% per year”
“the real revolution. The seeds were planted back then. They've been germinating for 20 25 years and now they're flourishing”
How the episode opens
What I'm saying right now probably won't get a lot of clicks, but it should. We will talk about the very tough time the market has had of late in the context of the elections and we will also talk about AI in particular as well as inflation. Greetings everyone.
Uh welcome to in then. I know we've been through a a tough few weeks in the market. uh lots of drama and uh we certainly will talk about that.
We'll spend uh time talking about the elections, the ramifications especially as uh they relate to uh innovation, technologically enabled uh innovation, AI being a part of the debate of course and then we'll go through uh the normal fiscal policy, monetary policy, economic indicators and market indicators. Uh but first uh putting everything in perspective um uh I would like to um say that a dear friend John Nosta, a friend of ARC, a friend of mine who joined us on Brainstorm almost every week almost from the time we started the firm back in 2014. Uh we lost him this week and he was so young.
Uh and uh we will miss John Nosta. Um he was an incredible uh he was an incredible intellect. Uh he was an incredible family man, husband, father.
He leaves three children and his wife. Uh, and um, the the most ironic thing, I don't know if that's quite the word ironic, um, uh, is that he just published a book that, uh, I think he thought was going to, uh, really make a splash out there. And then he was going to go with uh Brian Romel who also joins Brainstorm uh and start conferencing um around this book the borrowed mind reclaiming human thought in the age of AI.
So John's background is more medical and um uh psychology.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- data center backlash
- ai spending and capex
- credit default swaps
- inflation metrics
- ai productivity and deflation
Companies and tickers mentioned
- ARK Investment Management
- Ramp
- CoreWeave
- SpaceX
Watch the episode
Watch “Cathie Wood: Did The Market Overreact To The Election? | In The Know” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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ARK Invest, this episode and its artwork belong to ARK Invest. Octagon is not affiliated with the show; this page is an independent summary.
