Video summary

Top Stocks I'm Buying To Get Rich Without Getting Lucky

Main summary

Key takeaways

Finance

Portfolio / Methodology (Explicit Framework)

“Top 10 stocks” portfolio rules

  • After selecting the stocks, can’t add or remove any for the entire year (no swapping after winners run, and no “pretend losers didn’t happen”).
  • Can’t add winners after they’ve already run up.
  • Only the order of the list changes, based on earnings and news.
  • Intended as a buy-and-hold long-term portfolio, typically 3–5 years.

Foundation idea

  • Start the portfolio with a fund/ETF rather than cash, with the claim that it can help outperform the S&P 500.
  • The focus is geared toward AI + chips + infrastructure + software + security, with:
    • chips/infrastructure first
    • software/security on top

Disclaimers / Disclosures

  • The presenter states: “I’m not a financial adviser.”
  • Video sponsor disclosure: VCX by Fundrise (public ticker referenced as VCX).
  • Incentive disclosed for Iron (IRON):
    • Nvidia received a warrant to buy $30M shares for $70/share, implying upside if IRON trades above the strike.

Tickers / Assets / Sectors Mentioned

ETFs / funds

  • SPY (S&P 500 ETF; referenced as a common tracker)
  • VGT (Vanguard Information Technology ETF; used as the portfolio foundation)
  • Triple Q (mentioned for comparison of fees; likely referring to QQQ)

Core public equities

  • NVDA (Nvidia)
  • AAPL (Apple)
  • MSFT (Microsoft)
  • AMD (AMD)
  • AVGO (Broadcom)
  • MU (Micron)
  • LRCX (Lamb Research)
  • GOOGL / Google (Google referenced; ticker not explicitly stated)
  • META (Meta Platforms)
  • PLTR (Palantir)
  • CRWD (CrowdStrike)
  • TSM (Taiwan Semiconductor)
  • VRT (Vertiv)
  • IRON / Iron (referred to as “IN” in-text; context strongly implies IRON)
  • Schneider, Eaton, Delta (named for power/800V adoption; tickers not provided)

Private-market / sponsor instrument

  • VCX (Fundrise-related “private tech” exposure)

Index / market references

  • NASDAQ 100
  • S&P 500
  • “Magnificent 7” (valuation comparison context)

Key Macro / Market Context & Investing Claims

  • The creator frames the opportunity as the AI revolution driving sustained demand across:
    • Semiconductors/chips
    • Compute infrastructure
    • Power + cooling
    • Software platforms
    • Cybersecurity

Quantitative Highlights (Numbers Explicitly Stated)

Market performance anecdotes / relative returns

  • Example claims include:
    • $10,000 in Apple from the smartphone-era start → over $600,000 today
    • $10,000 in Nvidia when “ChatGPT came out” (just over 3 years ago) → over $100,000

Global AI market growth

  • AI market expected to be ~19x over 9 years
  • Implied ~38.5% CAGR through 2034 (as stated)

Valuation / earnings metrics

  • Nvidia valuation: P/E ~31
    • “Last time it was this cheap” was ~7 years ago, then about $4/share after splits (as stated)
  • Meta valuation: ~20x earnings
    • Claim: “lowest multiple” in the Magnificent 7

Nvidia growth and durability thesis

  • Nvidia YoY revenue growth over last four quarters: 55%, 62%, 73%, 85%
  • Defensibility thesis:
    • CUDA software ecosystem makes Nvidia durable
    • Even if chips change, a “different kind of AI accelerator” would be needed to erode workload-by-workload

Google (TPUs / full-stack strategy)

  • Google Cloud revenue: over $80B/year
  • Backlog: ~$0.5T (growing similarly to major hyperscalers)
  • Selling TPUs to outsiders:
    • Deal to sell up to a million chips to Anthropic
    • Text suggests this is coming online this year (exact phrasing: “this year alone”)

Broadcom AI chip growth guidance

  • Broadcom AI chip revenue: $10.8B “last quarter”
  • Up 143% YoY
  • Guidance: $100B+ AI chip revenue by end of 2027 (explicit)

TSMC (foundry moat)

  • Claims include:
    • Builds >90% of advanced chips
    • About 70% of world chips by revenue
  • Also ties end-market coverage:
    • GPUs (Nvidia/AMD)
    • smartphone processors (Apple/Samsung)
    • custom AI chips (Amazon/Microsoft/Google)

Micron (memory bottleneck)

  • Memory bottleneck claim: HBM (high-bandwidth memory) is the “biggest bottleneck”
  • Micron points:
    • Only U.S.-based memory company among “only three companies” making HBM (as stated)
    • Micron memory pre-sold through end of 2027
    • Expect shortage to get worse before it gets better
    • “No longer cyclical” due to multi-year contracts and prepaying
    • “Micron has pricing power” (qualitative)

Vertiv (power + cooling) and AI data center power constraints

  • Power consumption examples:
    • Nvidia rack: ~120 kW (about 10x traditional rack)
    • “Vera Rubin” racks: >200 kW
  • Infrastructure concern: wiring constraints; “copper starts to melt”
  • Vertiv partnership:
    • “Verdive” appears in subtitles (likely Vertiv), ticker VRT
  • Voltage architecture:
    • Move data centers to 800 volts DC
    • Enables eventual 1 megawatt racks
  • Vertiv backlog/growth:
    • Orders growing by 250% YoY (fastest in its history; as stated)
  • Cooling:
    • Mentions potential need for direct-to-chip liquid cooling for very large racks

Iron / grid power and capital risk

  • Iron secured power:
    • >4.5 gigawatts secured across Texas, Oklahoma, Canada, Spain
  • Nvidia contract:
    • 5-year, $3.4B cloud contract to run internal workloads on Iron’s infrastructure
  • Nvidia warrant:
    • Warrant to buy $30M shares at $70/share
    • Iron currently $49/share → implied ~40% upside to hit strike
  • Microsoft:
    • 5-year $9.7B deal for Iron capacity
    • Prepaid 20% upfront
  • Capacity utilization argument:
    • $3.4B annual recurring revenue target uses ~10% of secured power
    • Implies ability to support ~10x once AI infrastructure is built and operational
  • Explicit risk called out:
    • Data center buildout costs money before Iron has the capacity operational
    • Company may need to keep raising capital to cover funding gaps (volatility risk)

Software: Meta + Palantir

  • Meta
    • 3.5B+ daily active users across Facebook/Instagram/Messenger/WhatsApp
    • Capex: $125–$145B this year (nearly 2x 2025)
    • Performance metrics:
      • Ad impressions up 19%
      • Average price per ad up 12%
      • Revenues up 33% YoY
    • Stated approach: “as the stock keeps dropping, I’ll keep dollar cost averaging”
  • Palantir (spelled “Palanteer” in subtitles)
    • Revenue growth: 85% YoY
    • Raised full-year guidance to $7.6B (implies 71% growth, per subtitle)
    • Guided US commercial revenue: $3.2B, up 120% YoY
    • Expected market growth:
      • Global AI/software market expected to ~7x over 7 years
      • Implied ~32% CAGR through 2033
    • Qualitative positioning: “profitable pure play” AI software near “doubling every year”

Cybersecurity: CrowdStrike

  • Thesis:
    • Falcon platform components: cloud modules, proprietary threat graph, and Falcon agent
  • Market growth:
    • Global cloud security market expected to more than triple over the next 6 years
    • AI-enabled cyber threats expected to accelerate demand (qualitative)

Explicit Recommendations / Cautions

Recommendations (implied buy/hold)

  • The creator uses the stocks as a core “top 10” list designed to capture AI demand across multiple layers.
  • VGT is framed as the foundation ETF for building the list.
  • Emphasis on specific picks:
    • Nvidia: top position for defensibility + valuation claim (P/E ~31)
    • Broadcom and Google: “win because I hold all three” (NVDA, AVGO, GOOGL)
    • TSMC and Micron: enabling bottlenecks (foundry + memory)
    • Vertiv (VRT): power/cooling demand and backlog growth
    • Iron (IRON): contracted demand and secured grid capacity, with noted financing risk
    • Meta, Palantir, CrowdStrike: software monetization + monetization/safety demand in AI era

Cautions / risks

  • Iron capital risk: likely continued capital raises to fund data center build before revenue materializes.
  • Broader risk theme (narrative rather than formal): analysts may believe growth slows; creator argues growth accelerates (e.g., Nvidia revenue momentum).
  • Supply-chain dependency embedded in the thesis:
    • AI chips depend on TSMC manufacturing
    • Memory depends on Micron / HBM supply

Presenters / Sources / Sponsor

  • Presenter: Alex (referred to as “My name is Alex…”)
  • Referenced authority/source: “According to Market US” (global AI market forecast)
  • Sponsor: VCX by Fundrise
  • Brands/platforms referenced: Nvidia, Google, Fundrise, etc.

Original video