The RAM AI Podcast

How high is too high? Evaluating parabolic AI stocks

17 min · 4. maj 2026
episode How high is too high? Evaluating parabolic AI stocks cover

Beskrivelse

When a stock triples in a year, the natural reaction is that you've missed it. But price alone is incomplete information. In this episode, we break down two time-tested investment frameworks — Peter Lynch's PEG ratio and Stanley Druckenmiller's macro discipline — and apply them to four stocks at the heart of the AI infrastructure build: Micron, Sandisk, Corning and Coherent. The conclusion may surprise you: some of these names are still undervalued by the standards of investors who've been doing this for decades. Others have already priced in the destination.

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The Rise of Agentic AI - a Deep Dive

Falling per-token costs aren't reducing AI infrastructure spend — they're accelerating it. In this episode, we break down why Jevons Paradox is playing out in real time across the AI supply chain, and what the input signals — from DRAM pricing to transformer lead times — are telling us about where this goes next. We cover: why agentic AI workloads consume 5-30x more tokens per task than chatbots, the seven upstream signals all moving in the same direction, and three companies positioned across the full stack from silicon to switchgear — Marvell Technology (MRVL), Micron Technology (MU), and IES Holdings (IESC). Plus, how Peter Lynch's PEG ratio framework screens in this environment. This is not investment advice. Visit m3iresearch.com for methodology and full disclaimers.

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