Show Notes
Stephanie Aliaga is a global market strategist at JP Morgan Asset Management, where she focuses on AI's role in markets and the economy. She joins Phil Rosen on Full Signal to discuss why the AI cycle is still early, the selloff in neocloud stocks, hyperscaler moats and frontier lab economics, why AI isn't showing up in productivity data yet, and her favorite opportunities for the AI trade for the year ahead.
Today's episode is sponsored by Direxion: https://www.direxion.com/product/daily-tsla-bull-and-bear-leveraged-single-stock-etfs
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TIMESTAMPS:
0:00 - We're still early in AI 2:43 - Neocloud financing fears 4:46 - Demand vs. financing 7:10 - Hyperscaler balance sheets 10:46 - Frontier lab token economics 15:06 - AI agents boom 17:05 - Enterprise AI adoption 20:24 - Where's the productivity gains? 26:24 - Where to invest now 30:16 - Favorite sectors 34:07 - US vs. international 37:29 - Too late to buy AI? 39:07 - What could derail the AI trade 40:44 - Follow Stephanie
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