This post shifts focus to NVDA and GOOGL, two names that are telling a coherent story about where AI capital is flowing right now. Nvidia's $2B Marvell investment signals Jensen Huang is playing offense well beyond GPUs, while GOOGL's March AI blitz and a 3.42% single-day pop suggest the market is finally giving Alphabet credit for its AI execution. The valuation setup on GOOGL — 26.6x TTM P/E with an EV/EBITDA of 18.5x — remains the most compelling in the Mag 7 on a fundamentals-adjusted basis.
Let's start with the elephant in the room: Nvidia just crossed $4.23 trillion in market cap, making it the single largest company on the planet by a meaningful margin. At 35.6x TTM P/E and 19.6x P/S, the stock is pricing in sustained hyperscaler capex and continued GPU dominance. The $2 billion investment in Marvell Technology is the more interesting signal here — Jensen Huang isn't just selling shovels, he's diversifying the AI infrastructure stack and positioning Nvidia as a full-ecosystem player. When the CEO publicly calls this an 'inflection point,' that's not marketing language; that's a man who sees his order book. NVDA's short ratio of just 1.28 tells you the bear case is losing adherents fast.
The Marvell investment deserves more attention than it's getting. Custom silicon (ASICs) has been the bear case for Nvidia — the idea that hyperscalers like Google TPUs and Amazon Trainium would eventually commoditize the GPU market. By investing $2B in Marvell, a leading ASIC and networking chip designer, Nvidia is essentially hedging that narrative while simultaneously validating that the broader AI silicon market is expanding fast enough for multiple winners. This is strategic capital allocation, not just a financial investment. It also reinforces the Blackwell ramp thesis — the ecosystem around AI compute is deepening, not flattening.
Now to GOOGL, which I think is the most underappreciated setup in the Mag 7 right now. A 3.42% single-session gain on April 2nd on volume of 37.44 million shares isn't noise — that's institutional accumulation. And when you look at what Google actually announced in March 2026, the narrative shift is real: Search Live in 200+ countries, Gemini with contextual memory baked in, Maps redesigned around conversational AI, and a healthcare push via Fitbit partnerships. This isn't a company scrambling to catch up to OpenAI — this is a company monetizing AI across every product surface it owns. The Google I/O 2026 announcement adds a developer catalyst on the calendar.
The valuation case for GOOGL is straightforward and increasingly hard to ignore. At $3.48 trillion market cap, 26.6x TTM P/E, and an EV/EBITDA of 18.5x, Alphabet trades at a meaningful discount to Apple (32x P/E, 27.3x EV/EBITDA) and NVDA (35.6x P/E, 44.1x EV/EBITDA) — despite having $402.8B in revenue, 32.8% profit margins, and dominant positions in Search, Cloud, and YouTube. The beta of 1.112 is surprisingly low for a company this levered to AI sentiment, which suggests there's still defensive capital in the name. If Google I/O 2026 delivers a meaningful Gemini update or Search monetization signal, this stock re-rates.
Compared to the broader Mag 7, the relative value picture has sharpened. MSFT remains my highest-conviction name on fundamentals (23.15x P/E, 39% margins), but GOOGL is closing that gap fast on both execution and valuation. NVDA commands a premium that requires continued 50%+ revenue growth to justify — the analyst consensus of $300 by end-2026 implies roughly 70% upside from current levels, which is aggressive but not absurd if Blackwell shipments track estimates. My stance across both names is BULLISH, with GOOGL as the higher-conviction valuation play and NVDA as the higher-risk, higher-reward AI infrastructure pure play.