🧠 AI’s Supercycle Shifts into High Gear

A deal that’s real, markets hitting highs, and some much-needed caution.

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Happy Thursday!

The past week showed AI investing hitting new peaks – and not just in stock prices. Nvidia’s market cap smashed through an unprecedented $5, while Big Tech doubled down on record AI spending.

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)

  • OpenAI – Laying groundwork for an IPO valued up to $1 trillion reuters.com, after restructuring to fuel its AGI ambitions.

  • Nvidia – Became the first company ever to hit $5 trillion market value reuters.com as surging AI chip demand cements its role at the center of the boom.

  • Amazon (AWS) – Cloud revenue +20% YoY (fastest in 3 years) reuters.com, helping forecast above estimates and lifting shares +14% on relentless AI services demand.

  • Alphabet – Strong quarter (Google Cloud +34% revenue reuters.com) and a hike in 2025 capex to ~$91–93B reuters.com signal aggressive investment to meet surging AI workload needs.

  • Microsoft – Azure’s 40% growth beat estimates, but a record $35 B AI capex spend spooked investors reuters.com – reminding that even winners must spend big to stay ahead (MSFT -4% post-earnings).

📈 Where the Smart Money Is Going Right Now

  • NVDA – The pure-play AI chip king with an unmatched order pipeline (CEO says $500 B in chip orders booked reuters.com). Despite a rich valuation, demand momentum keeps it in pole position.

  • AMD – Gaining ground as the No. 2 AI silicon player. Major wins (a multi-year OpenAI chip deal) have boosted credibility, and upcoming MI300/MI450 accelerators aim directly at Nvidia’s moat.

  • MSFT – Cloud juggernaut integrating AI across its empire. Azure’s growth and a 49% OpenAI stake give it a strategic edge – and deep pockets mean it can invest heavily without losing steam reuters.com.

  • GOOGL – Cash-rich and AI-savvy. Core ads fund its AI expansion, while 34% cloud growth reuters.com and new generative AI products keep Google in the leadership pack (with a more reasonable price tag).

  • ORCL – An enterprise dark horse in AI. Oracle is the chosen cloud for some AI startups (partnering in an 8 GW / $450 B AI data center build-out reuters.com), and its database dominance plus AI services give it steady, undervalued upside.

  • PLTR – The data-analytics maverick turned AI powerhouse. Palantir’s stock has roughly doubled this year on booming demand from governments and companies for its AI platforms, though its lofty valuation (>>100× earnings) means high expectations. Smart money likes its defense moat and early profitability, but is watching execution closely.

🚀 What Kind of Returns Should You Expect?

Analysts see robust gains ahead but with a wide range – reflecting both huge opportunities and elevated uncertainty. In 12 months, the AI leaders could notch solid double-digit returns; over a 3-year horizon, the consensus bets on outsized growth as AI adoption compounds. Below is a rough outlook based on market consensus and recent analyst targets:

Category

12-Mo Expectation

3-Year Target

Risk Level

Nvidia, AMD

+15% to +30%

+80% to +120%

High

Microsoft, Google

+10% to +20%

+40% to +70%

Medium

Oracle, Palantir

+10% to +25%

+50% to +100%

Med-High

These ranges mirror the bullish sentiment underpinned by AI’s growth curve, but also the reality that valuations are baking in a lot – especially for newer AI plays

⚠️ Risks You Can’t Ignore

  • Bubble valuations – Many AI stocks trade at extreme multiples (some 200×+ earnings), and tangible productivity gains remain limited. Any indication that massive AI investments won’t pay off could trigger a sharp correction reuters.com.

  • Regulation & geopolitics – Governments are racing to catch up with AI. Unexpected rules on AI usage or stricter chip export controls (U.S.-China tech tensions, etc.) could suddenly cap growth or create supply snarls in this sector.

  • Capacity constraints – The AI boom needs vast hardware and energy. Ongoing GPU shortages and even data-center power limitations reuters.com may slow deployment or increase costs, testing companies’ ability to scale.

  • Competitive turbulence – Low barriers to entry mean new challengers keep emerging. A surprise breakthrough (e.g. a cheaper open-source model or a rival like China’s DeepSeek) can shift market sentiment overnight reuters.com. Today’s leaders must innovate relentlessly to defend their edge.

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🔭 What to Watch This Week

  • AMD earnings (Nov 4) – Can AMD ride the AI wave further? Investors will scrutinize its data center GPU sales and any upbeat guidance on AI chip rollouts. A strong report could confirm AMD’s rising status in AI hardware (while a miss might cool its recent rally).

  • Palantir earnings (Nov 3) – The focus is on Palantir’s AI platforms traction and big contract wins. After a huge run-up, any upgrade to its 2025 outlook or new government deals could turbocharge the stock – whereas cautious guidance might prompt profit-taking.

  • Fed rate decision (Nov 1) – Not AI-specific, but critical. If the Fed holds steady on rates (as expected), it keeps the backdrop favorable for high-growth tech. However, any hawkish surprise or macro jitters could temporarily dent the risk appetite fueling AI stocks.

💡 Bottom Line

This week’s events underscore that the AI mega-cycle is more marathon than sprint. The market’s message: companies pouring capital into AI now are positioning themselves to dominate later

Start now. Stay informed. Build a balanced, AI-ready portfolio with both upside and discipline.