PODCAST · business
The RAM AI Podcast
by Grish Ram | M3I Research
No, not that RAM. This is Grish Ram — macro investor, geopolitical risk modeler, and the human behind M3I Research. AI-narrated daily briefings covering geopolitical risk scores, oil and commodity markets, equities, inflation trades, sector regime analysis, and the signals that move markets. Powered by a quantitative scanner running 11 turbulence signals, 7 composite models, and a 5/5 prediction track record. Deep dives on Substack at m3iresearch.substack.com. Live scores at m3iresearch.com.
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How high is too high? Evaluating parabolic AI stocks
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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Beyond the Bubble: Why This Is Not the Dotcom Crash
Is this 1999 all over again? Everyone says so. But when you actually look at the numbers, the comparison falls apart — and the real risks are somewhere else entirely. In this episode, we break down why NVIDIA isn't Cisco, why Costco's valuation should make every bubble-caller pause, and what the actual warning signs look like. Two hosts, two perspectives. One thinks the bubble talk is lazy. The other thinks the bulls are getting dangerously complacent. You decide.
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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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"Day 51: The Turbulence Gap — Markets Calm, Models Flash Danger"
Daily geopolitical and macro risk intelligence for investors. M3I Research runs real-time scoring models covering war risk, market turbulence, shipping disruption, and conflict resolution probability — all distilled into a single Score of Scores updated every 3 hours. Each episode breaks down the latest model outputs, scenario probabilities, and market impact. 5 out of 5 confirmed predictions since the US-Iran conflict began. Not financial advice. Live scores at m3iresearch.com. Written analysis at m3iresearch.substack.com.
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ABOUT THIS SHOW
No, not that RAM. This is Grish Ram — macro investor, geopolitical risk modeler, and the human behind M3I Research. AI-narrated daily briefings covering geopolitical risk scores, oil and commodity markets, equities, inflation trades, sector regime analysis, and the signals that move markets. Powered by a quantitative scanner running 11 turbulence signals, 7 composite models, and a 5/5 prediction track record. Deep dives on Substack at m3iresearch.substack.com. Live scores at m3iresearch.com.
HOSTED BY
Grish Ram | M3I Research
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