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- 🧠 Trillions and Counting: AI’s Mega-Cycle Accelerates
🧠 Trillions and Counting: AI’s Mega-Cycle Accelerates
A deal that’s real, markets hitting highs, and some much-needed caution.
Happy Thursday!
The past week underscored that AI’s investment boom is still gaining steam. Valuations keep smashing records – Nvidia became the first $5 trillion – as capital floods into AI chips and cloud infrastructure.
Let’s break down what’s happening, why it matters, and how you turn all this noise into serious returns.
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🔥 What Just Happened (And Why You Should Care)

China’s AI chip ban – Beijing ordered state-funded data centers to drop foreign AI chips (Nvidia, AMD) for domestic alternatives reuters.com Massive multi-year deals (OpenAI, others) signal tens of billions in future revenue.
Palantir soars on AI – Palantir (PLTR) forecast Q4 revenue ~11% above estimates amid 60%+ growth from AI-driven demand reuters.com Its stock doubled this year, though its sky-high valuation (P/E ~246) has even bulls wary of an AI “bubble.”
Vast Data’s mega-deal – Nvidia-backed startup Vast Data inked a $1.17 billion agreement with cloud provider CoreWeave to power AI data centers. The deal underscores surging investment in generative AI infrastructure. reuters.com
India’s deep-tech push – Nvidia joined an alliance backing Indian AI and chip startups, helping secure $850 million for R&D . Emerging markets are racing to build their own AI ecosystems – a new frontier for investors. reuters.com
📈 Where the Smart Money Is Going Right Now
NVDA — AI’s GPU kingpin with an enormous order backlog (~$500 billion) underpinning its meteoric valuation. Still the purest “picks-and-shovels” play on the AI boom. reuters.com
AMD — Challenger on the rise. Stock has doubled YTD on its expanding role in AI (new OpenAI & Oracle chip deals) and continued gains against Intel in data centers. reuters.com
MSFT — Cloud juggernaut all-in on AI. Posted a record $35 billion capex last quarter (≈50% on AI chips), cementing Azure’s infrastructure edge. Diversified, cash-rich, and leveraging its OpenAI partnership. reuters.com
GOOGL — Search and cloud titan pivoting to generative AI at scale. Trading at reasonable multiples with $3.3 trillion market cap, it pairs massive data assets with improving AI monetization (Ads, Cloud AI). reuters.com
ORCL — Enterprise cloud player carving out an AI niche. Strong cloud growth and big-ticket wins (e.g. a multibillion OpenAI cloud deal*) give it momentum, while its legacy client base provides stability. reuters.com
PLTR — Big-data AI pure-play growing ~60% in both commercial and defense sectors. A high-risk/high-reward bet with unique government ties – and valuations to match – but it’s at the forefront of applied AI solutions. reuters.com
🚀 What Kind of Returns Should You Expect?
Analysts remain cautiously bullish on AI leaders. Consensus sees double-digit gains over the next year as relentless AI spending boosts earnings. Over a 3-year horizon, the projections get even bolder – multi-year compounding could drive 50%+ returns for the strongest players – if they execute. Yet lofty multiples mean any stumble could trim these forecasts. The market is effectively pricing in near-flawless growth, so stock pickers must discriminate between true AI winners and hype.
Category | 12-Mo Expectation | 3-Year Target | Risk Level 🌶️ |
|---|---|---|---|
Nvidia, AMD (Chips) | +20% to +30% | +50% to +80% | High 🔴 |
Microsoft, Google (Cloud/AI) | +10% to +15% | +30% to +50% | Medium 🟠 |
Oracle, Palantir (Enterprise) | +8% to +15% | +25% to +40% | Medium 🟠 |
Estimates reflect market consensus for price appreciation. High risk comes with high potential reward, while mega-caps offer steadier (if smaller) gains.
⚠️ Risks You Can’t Ignore
Geopolitics & Trade – The U.S.-China tech cold war is heating up. Export curbs and retaliation (e.g. China’s latest chip ban) threaten supply chains and market access for AI hardware leaders. reuters.com
Valuation Overhang – AI stock multiples are stretched. For example, Palantir trades at ~250× forward earnings vs Nvidia’s 33×. Any stumble in growth or margins could trigger a sharp correction from these heights. reuters.com
Supply Chain Bottlenecks – Cutting-edge AI chips depend on a fragile supply chain (TSMC fabs, ASML machines, etc.). Capacity constraints or new export restrictions can delay critical hardware deliveries, slowing AI rollouts. reuters.com
Hype vs. Reality – Exuberance is high; even Michael Burry is betting against some AI darlings. If AI adoption or productivity gains fall short of lofty expectations, sentiment could sour fast – a healthy “hype trim” that would punish overpriced players. reuters.com
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🔭 What to Watch This Week
Nvidia earnings — Nov 19: The sector bellwether reports Q3 results. Investors will dissect its guidance for any sign of cooling AI demand or supply kinks. (A blowout could reignite the rally.)
U.S. CPI data — Nov 13: October inflation reading drops. A benign number could ease rate fears and boost high-PE tech stocks, whereas a hot print might pressure the whole AI cohort in the short term.
EU AI rules — Regulators edge closer to formal AI oversight. An EU Commission consultation on high-risk AI reporting closes Nov 7, a step toward strict AI usage laws in 2026. Global investors are watching Europe’s moves as a blueprint for tech regulation. kempitlaw.com
💡 Bottom Line
The AI revolution is still in its early chapters. For investors, that means staying focused on long-term value amid the noise. Yes, volatility will test your conviction – but the upside of backing real AI innovation remains enormous. Keep your eyes on the true winners and ride the megatrend. The early movers are already compounding.
Start now. Stay informed. Build a balanced, AI-ready portfolio with both upside and discipline.


