Agentic AI Stocks: Stocks to Avoid and Stocks to Buy
- What to look for
- Following Deutsche Bank's agentic commerce estimates—market size, take rate, and cost per user—lets you examine the calculations behind the claim of 'another Meta' and identify potential beneficiaries and losers from developments such as commoditization and shifts in advertising.
- Why it matters
- Understanding how AI recommendation-based search changes the way consumers browse can help you independently assess platform companies' fee and advertising revenue structures and the factors affecting earnings for related stocks such as Amazon and Google.
AI summary
The speaker argues that applying even a basic multiple to Wall Street consensus figures implies 43% upside for Meta shares. Citing Deutsche Bank's analysis, the speaker explains that, out of 27 trillion dollars in annual consumption in 2030, between 2 trillion plus 5 hundred-billion~5 trillion plus 5 hundred-billion dollars could pass through agentic AI. If Meta captures a 3~5% take rate, it could generate up to 2,700 hundred-million dollars in additional revenue, meaning that 'another Meta' is at stake. As illustrated by the furniture-buying example, the speaker believes that both total sales and adoption rates could increase if AI recommendation-based search replaces existing browsing methods. The speaker considers even Deutsche Bank's revenue estimate low, because sponsored ads in recommendation lists could double advertising rates. The speaker predicts that product companies will lose pricing power and that purchase-related advertising on Amazon, Google Search, and delivery apps will suffer, while entertainment advertising on TikTok, YouTube, Instagram, and Netflix will benefit. The speaker says the current share price, at a PEG of around 1.3, could double even with a low growth assumption, presents a price target of 1,822 dollars, and is also bullish on the S&P500 overall. All these directional outlooks are the speaker's conditional judgments, not definitive predictions of short-term prices.