Video summary

3 Stocks To Buy As Big Tech Sells Off (And 2 To Avoid)

Main summary

Key takeaways

Finance

Market / Macro Context (Tech Sell-Off + Sector Rotation)

  • The “whole tech sector” was described as down for the week after the first round of Mag 7 earnings.
  • Specific reactions mentioned:
    • Alphabet (Google): down ~7% (after earnings)
    • Tesla: down ~13%
    • Nasdaq: “down better than 1.5%”
    • S&P: down ~1%
  • Core narrative: the market is reacting to hyperscalers’ AI capex guidance (too much spending), but demand remains strong:
    • Alphabet said it is “capacity constrained.”
    • Spend is expected to keep translating into data-center revenue as buildouts expand.

Sector leadership framework (Altimetry research)

  • In bull markets, leadership usually rotates.
  • Over ~3 decades, there has never been a year where the three leading sectors stayed the same the next year (usually 1–2 remain leaders).

AI “Daisy Chain” and Where Money Is Rotating

  • Claim: ~65%+ of US market cap is tied to the AI boom.
  • Expected leadership areas for the “back half of the year”:
    • Tech hardware
    • Industrials
    • Energy (increasing emphasis)

Rationale: stepwise “AI infrastructure buildout”

  • Chips → data center components
  • Data center connectivity + power/heat/cooling → tech hardware / industrial equipment
  • Energy → natural gas + oil for:
    • generators
    • turbines
    • on-site/off-site power needs
    • LNG ramp

Geopolitical angle

  • Iran / Strait of Hormuz / Red Sea disruptions are framed as short-term.
  • The structural driver is described as US natural gas need plus LNG exports.

Stocks to Buy (3)

1) Baker Hughes (BKR)

Thesis / Drivers

  • Benefits from surging oil & gas investment, plus LNG buildout and equipment/services demand.
  • Positioned to benefit from AI data center power needs (framed as “dark energy”) via turbines/power-related services.
  • Profitability “misunderstood” due to accounting normalization:
    • Market-view: ~5% ROA (GAAP)
    • Altimetry-uniform accounting estimate: ~15% ROA
    • Stated upside: “3x” what the market thinks.

Risk / Volatility Guidance

  • Acknowledges headline-driven volatility from geopolitical news.
  • Recommendation style: be tactical, specifically using dollar-cost averaging (DCA).

Oil-price stress test (explicit number)

  • Asked: if oil fell back to $70/bbl, would BKR still be highly profitable?
  • Response:
    • Management view: $70 (and even ~$65) still supports healthy activity.
    • Natural gas floor cited: “not going below $2 or $2.50 anytime soon” (as described in the subtitles).
    • Also argues a “geopolitical premium” likely keeps oil from falling much further (even if tensions resolve).

2) EQT (EQT)

Thesis / Drivers

  • One of the largest US natural gas producers, focused in Pennsylvania/Appalachia.
  • Structural demand argument:
    • AI data centers and broader infrastructure need natural gas for power.
    • LNG exports ramp increases demand; EQT is positioned for both domestic and LNG-related supply.
  • Capital/earnings durability:
    • “Reserves way more than a decade” (as stated).
    • Claims costs/asset quality support stronger profitability.

Return on Assets (explicit numbers)

  • Industry average (natural gas E&Ps): ~5% ROA
  • EQT (described): ~10% ROA
  • Also claims potential for steady ~15–20% earnings growth.

Valuation context

  • P/E (on “uniform accounting basis”) mentioned as being single digits to low double digits.

Timeline expectation

  • Growth/outperformance framed over the next year to 5 years.

3) Murphy Oil (MUR)

Thesis / Drivers

  • “Old-school” exploration & production, described as roughly:
    • ~Half production in US/Canada/Vietnam
    • and ~Half in other global assets (subtitles reference Vietnam and Côte d’Ivoire)
  • Revenue tilted more toward oil than gas (oil sells for more).
  • Assets described as low-cost producers generating significant cash.
  • Growth catalyst: investments that could double reserves.
  • Near-term production ramp:
    • “Start to see production… by Q4” (with Q3 possibly showing initial flows)

Explicit recommendation framing

  • Markets “sleeping on” the company due to the upcoming ramp catalyst.

Stocks to Avoid / “Not Buy” (2)

4) T-Mobile (TMUS) — “Fade” / Avoid

Thesis

  • Risk from competition and a “red ocean” environment.
  • Competition examples discussed:
    • T-Mobile benefited from taking share from Comcast (broadband internet story).
    • Additional pressure risk from SpaceX / Starlink expanding broadband alternatives.

Expectation / Valuation risk (explicit)

  • Altimetry “better expectations analysis” claim:
    • Market expects T-Mobile to maintain best-ever ROA from last year and a small bump this year.
    • Subtitles state T-Mobile ROA is ~1.5x telecom peers.
  • Altimetry view:
    • ROA should fade as competition increases and pricing normalizes.
    • Market is “not pricing in” these competitive pressures.

5) Netflix (NFLX) — Avoid Buying the Dip

Thesis

  • Despite being down over 40% (“brutal in the last year and change”).
  • Structural issue: saturated growth and embedded expectations.

Altimetry reasoning

  • The earlier run-up reflected assumptions:
    • 15–20% growth sustained
    • ROA improving
  • Now the market may be pricing Netflix as:
    • high ROA that stays flat
    • growth dropping to high single digits / low double digits

Rebuttal (why it isn’t “cheap”)

  • Competitive pressures (short-form, AI content, and rivals mentioned: Paramount, Disney, YouTube, etc.) mean the valuation may not be attractive despite the sell-off.

Disclosures / Disclaimers

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

Presenters / Sources

  • Rob Spivey — Altimetry Research
  • Bridget — host (referred to as “Bridget” in the subtitles)
  • Joel — Altimetry Research (mentioned as co-presenter for a referenced “free report/special report,” but not directly quoted on-screen in the subtitles)

Original video