WEEKLY WEBCAST: Some AI Lessons In A Booming Economy
In this Yardeni QuickTakes weekly webcast excerpt, Ed Yardeni and Elias examine the lessons from last week's market turbulence, when investors soured on AI-related stocks and pulled the S&P 500 down despite good performance from most sectors. The excerpt argues the week still yielded several insights encouraging for the AI trade, while showing how little tolerance investors now have for under-delivering AI companies — a harshness it blames on analysts' unattainably high estimates, but which at least inhibits bubble formation by punishing disappointment quickly. Separately, it describes the US economy as firing on all cylinders, citing the release of Q3 real GDP growth and arguing that underlying demand was even stronger than the headline number suggests. The item is a short, truncated teaser for a paywalled webcast rather than the full discussion, so its conclusions are stated without the supporting data or argument that would let readers test them.
Highlights
While stock investors soured on AI-related stocks, pulling the S&P 500 down despite good performance from most sectors, the week yielded several insights that are encouraging for the AI trade.
last week showed how little tolerance investors now have for under-delivering AI companies.
The US economy is firing on all cylinders, as the release of Q3 real GDP growth shows, and underlying demand was even stronger than the headline number suggests.
Contrarian Viewpoints
- Investor intolerance for AI misses may be rational repricing of stretched valuations rather than evidence against a bubble: punishing misses does not by itself prevent overvaluation before the miss.
- Strong Q3 GDP is backward-looking, and underlying demand strength in one quarter does not guarantee that AI-related capital spending or consumer momentum will hold if earnings keep disappointing.
Investment Implications
- Stay selective within AI exposure rather than adding broad AI beta until AI companies can meet elevated earnings estimates, given the market's low tolerance for under-delivery.
- Favor diversified US equity exposure over concentrated AI names while breadth outside AI holds up, and treat GDP strength as support for the broader economy rather than a reason to chase AI leaders.