3 Stocks to Buy For the Next Decade

Market context / performance callouts

• The stock market is described as broadly strong (“green across the board”).
• Meta (META) (near the start of the video) is cited as:
  • ~+11% (point-in-time performance)
  • +15% year-to-date
  • +36% over the past month
  • Market value: ~$1.9T
• AMD is described as “a trillion-dollar company,” with +175% year-to-date.

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Stock 1: Meta (META) — AI agent “Muse” and valuation view

Catalyst

• “Muse”, Meta’s AI agent, is presented as a key momentum driver.
• Availability is described as:
  • United States
  • Canada
  • “Some parts of India / soon” (timeline is qualitative)
• Traction claim: “more popular than ChatGPT when ChatGPT came out” (no metric provided).
• Monetization hypothesis:
  • Users create transactions/products/services
  • Meta takes a “small percent” of transaction value.

Price / valuation

• The speaker argues META is undervalued even at $741.
• A DCF-style view suggests expected value above $800 per share.
• Historical framing: “before Muse became a thing, this is a $800 stock … even excluding Muse.”

Risks / cautions

• Whether users actually pay rates is said to “remain to be seen.”
• Macro/capex risk discussion is applied broadly to mega-cap tech (including Meta).

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Stock 2: Amazon (AMZN) — capex/free cash flow risk but strong fundamentals via AWS

Capex / free cash flow framework (macro theme)

• Concern: companies are spending heavily; some show negative free cash flow (FCF) due to capex.
• Investor framework: Return on Invested Capital (ROIC) vs WACC (cost of capital).

ROIC vs WACC (stated methodology)

• The framework claims that even after declines from peak levels, companies remain “well above” WACC.
• Investment logic: if ROIC stays above WACC, investment can be rational even when near-term FCF is pressured.

Amazon-specific timeline (cash flow pressure vs recovery)

• FCF is pressured, with a recovery timeline such that:
  • ~2028: explicit expectation of FCF returning to positive
• If the investment phase extends:
  • ~2031: qualitative “end-state justification” is suggested.

Valuation / pricing metrics

• Trailing P/E: 20.8x
• Forward P/E: 28.1x
  • Presented alongside the idea of one-time effects
  • Noted as “lower than the median”
• Price to free cash flow: negative due to heavy investing.

Profitability & cash flow metrics

• Operating margin: 12.1% (last 12 months)
• Gross margin: >50% (“we’re now above 50%”)
• Net profit margin: 17.5% (with caveat that the jump may be one-time)
• Cash from operating activities: $161.4B
• Free cash flow margin: described as under pressure, with context that after a 2022 low, it recovered to ~8% afterward (as stated).

Business segment emphasis: AWS

• AWS is described as the core value driver:
  • AWS revenue: $148.4B (last 12 months)
  • AWS growth: 27.5%
  • Claim: AWS “alone is worth a trillion dollars” (and possibly more)
• Total company market cap cited: ~$2.7T
• Qualitative growth/revenue timeline:
  • “Over $1T revenue in ~2.5 fiscal years”
• A growth expectation is cited: 15.69% (period unspecified).

Explicit recommendation tone

• The speaker characterizes Amazon as “one of the best companies out there to own, now and in the future.”
• Thematic support includes: AI, robotics, autonomous vehicles, cloud.

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Stock 3: AMD (AMD) — GPU/data center momentum and valuation debate vs NVDA

Performance / positioning

• AMD is described as “perfectly positioned” for a CPU demand shift, with a “ratio 1:1” reference.
• Drivers named:
  • GPUs
  • Data center

Valuation stance

• The speaker argues AMD is “not trading at 55x forward earnings.”
• PEG ratio mentioned as ~1.3 (likely transcription ambiguity; treated as PEG ~1.3).

Risks / caution

• Even with positioning, the speaker urges comparing multiples versus peers:
  • “we need to look at the other one” (Nvidia discussed next).

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Additional peer/sector comparison: Nvidia (NVDA) and Broadcom (AVGO)

Nvidia key valuation / metrics

• Market cap: ~$5.4T
• Forward P/E: 18.8x
• PEG ratio: 0.5
• Forward P/FCF: 21x
• Revenue baseline:
  • Revenue: $682B (referenced as fiscal ’27)
• Growth expectations cited:
  • ~90% fiscal ’27
  • ~65% fiscal ’28
  • ~30% fiscal ’29
  • Moving toward ~$900B revenue in fiscal ’29
• Cash flow:
  • Cash from operating activities: $134.3B (last 12 months)
  • Compared to earlier baseline: $5.6B (several years prior; exact year not specified)

Margin profile (Nvidia)

• Operating margin:
  • Range cited peaking at 37.2% (2018) up to 65.2% now
• Free cash flow margin: above 40% (range claim)
• Gross margin: 74%
• Net profit margin: 63.7%

Sustainability question

• The speaker questions whether such margin levels are sustainable.
• Expectation: margins may trend lower “a little” over the next 5–10 years, while still remaining very large in absolute dollars.

Actionable takeaway (comparative, not a strict buy/sell)

• Suggestion: it “may be time to flip back” or “just add an Nvidia.”
• The speaker notes they already own AMD.
• Ecosystem view: Nvidia’s platform benefits outsiders even if large customers increasingly build internal chips.

CPU angle

• Nvidia is described as also a CPU story, not only a GPU/data center story.

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Amazon vs Meta “Muse” shopping access conflict (platform risk affecting AI monetization)

Event

• Amazon reportedly cut off Meta’s Muse personal AI agent from shopping on amazon.com on behalf of customers.

Reasons stated (speaker paraphrase of Amazon)

• Amazon claims it never agreed to Muse accessing its store experience.
• The agent is said to:
  • not identify itself while browsing
  • appear to capture and store customer credentials
• The speaker disputes this as the real driver, suggesting Amazon is primarily protecting its advertising business.

Explicit advertising business metric

• Amazon advertising revenue cited: $76B (over the last 12 months).

Revenue logic given

• The argument: Amazon loses sales if Muse can find products but can’t buy on Amazon; Muse would buy elsewhere.
• Prediction: the restriction will likely be reversed.

Shopify counterexample (partner validation)

• Shopify CEO quote paraphrased:
  • partnering with Muse for “agentic checkout with Shop Pay on all Shopify stores”
• Implication: Shopify positions itself to capture AI-agent-driven transactions and become highly ranked in LLM/AI agent discovery (speaker’s thesis).

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Methodology / frameworks explicitly described

• ROIC vs WACC framework (capex-heavy megacaps):

  • Evaluate whether ROIC stays above WACC during heavy investment cycles.
  • Acknowledge early FCF can be negative when capex growth outpaces revenue growth.
  • Investment can still be justified if/when capacity monetization improves.

• Scenario / timeline mapping for cash flows (company-by-company):

  • Amazon: FCF returns positive around 2028; end-state justification into 2031
  • Meta: FCF recovery late 2028 / early 2029 (speaker expects sooner)
  • Oracle: FCF turns positive around 2029 (speaker expects sooner)
  • Microsoft / Google: FCF negative for a period; recovery expected “sooner than expected” (specific year not detailed per company)

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Key disclosures / disclaimers

• No explicit “not financial advice” disclaimer is present in the provided subtitles.

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Tickers / assets / instruments mentioned

• META (Meta Platforms)
• AMD (Advanced Micro Devices)
• AMZN (Amazon)
• GOOGL / Alphabet (Google mentioned; ticker not explicitly stated)
• MSFT (Microsoft mentioned; ticker not explicitly stated)
• ORCL (Oracle mentioned; ticker not explicitly stated)
• NVDA (Nvidia mentioned)
• AVGO (Broadcom mentioned; ticker not explicitly stated)
• Shop Pay / Shopify (Shopify mentioned; ticker not explicitly stated)

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Presenters / sources

• Presenter: Single unnamed YouTube speaker (no name provided in subtitles).
• Sources referenced:
  • Andy Jassy (Amazon CEO)
  • Shopify CEO (name not provided; quote paraphrased)