Michael Burry Says We're In Another Bubble
Michael Burry says we’re in another bubble. Rather than betting on individual shorts, express valuation-compression risk through broad tech and software hedges while keeping optional exposure to structural winners in compute and platform leaders.
Linked assets
Recommended instruments to express a mixed strategy: QQQ and IGV as broad tech/software hedges; NVDA as a potential relative winner if value accrues to the compute layer; MSFT for platform/AI distribution resilience.
The composition and weighting of the securities portion of a portfolio deposit are also adjusted to conform to changes in the index.
Most direct liquid proxy for mega-cap tech valuation risk referenced by ‘bubble’ framing.
The index measures the performance of U.S.-traded stocks from the software industry and select companies from the interactive home entertainment and interactive media and services…
Captures continued SaaS/software weakness implied by AI-plugin disruption narrative.
NVIDIA Corporation operates as a data center scale AI infrastructure company.
Potential relative winner if value accrues to compute layer while app-layer software derates.
Microsoft Corporation develops and supports software, services, devices, and solutions worldwide.
Platform distribution/AI integration could defend earnings power relative to smaller SaaS tools.
Source proof
Source proof: Strong source proof | 4 directional assets | 1 supporting author | headline-like title review
The play aggregates commentary and media fragments that characterize current market action as bubble-like and highlight concentrated strength in mega-cap tech. Some source items are promotional or incomplete and automated analysis flagged several items as requiring manual review; consequently the thesis emphasizes a hedged, portfolio-level approach rather than single-name short recommendations.
The source is a lightly edited transcript about buying “undervalued” stocks within a core/satellite portfolio. It explicitly calls out several large-cap tickers with mostly “buy” ratings (ASML, SPGI, MA, TXRH, plus mentions of MSFT/AMZN as buy candidates depending on entry), and one explicit non-buy due to valuation (COST). Actionability is moderate because it lacks specific catalysts, price levels, or timing rules beyond “lower end of 52-week range/valuation range.”
The source contains only the title/body phrase “Google Is Fooling Everyone” with no supporting details, catalysts, timeframe, or specific claims. It is not actionable as-is.
The source lays out a 5-year portfolio concept focused on “sellers into AI scarcity” (semicap equipment, foundry capacity, HBM memory) versus “buyers of AI.” It argues scarcity-phase suppliers have the best near/mid-term setup, with ASML positioned as a more “durable seller” due to long-lived tool installs. Mentions owning ASML and cites TSMC, Nvidia ecosystem demand, and HBM suppliers (Micron, SK Hynix).
The source provides only a title/body (“This Is The Craziest IPO Ever”) with no details on the company, ticker, exchange, valuation, sector, timing, or deal terms. There is insufficient information to form a specific, tradable thesis or identify affected tickers.
Super Investors Are Buying AI Stocks Join Qualtrim, the stock analysis platform I built and use, and join over 13,000 other paying members: https://www.qualtrim.com/ 00:00 Episode Overview 00:50 Chris Hohn Sells Microsoft and Buys Google 08:54 Bill Ackman Buys Microsoft and Sells Google 13:40 Dev Kantesaria Is Down -20% This Year 17:00 Berkshire Sells a LOT of Holdings 19:03 Terry Smith's Recent Performance Is Horrible 21:40 Pat Dorsey Is Buying Uber 23:30 Alta Rock Portfolio Bets Big On Amazon 24:15 Brad Gersner Bets Big on AI 25:00 Chuck Akre's Fund Will Struggle 26:40 Fail Of The Week: Waymo -Disclaimer Some of the links below are affiliate links, I can earn money from them at no cost to you. This content is not a solicitation, is not endorsed by M1, and was not reviewed by M1; the opinions expressed are solely those of the authors and do not reflect M1's views. Information presented is accurate as of the video posting date; for the most up-to-date information, please refer to m1.com. Before making any investment decisions, consult your personal investment, legal, and tax advisors, as this content is for informational purposes only and not intended as investment recommendations.
The source is a garbled stock-pick/long-term-compounding pitch arguing that a handful of dominant platform companies are worth buying today. Clear actionable names are Alphabet/Google, Amazon, and Uber. The cited positives are YouTube/YouTube TV gaining TV watch-time share, Google Cloud growth/backlog, AWS scale and cloud/AI momentum, and Uber’s 18% trailing revenue growth plus accelerating buybacks. The source is moderately actionable as a directional long-term idea list, but it lacks valuation, exact prices, timing, and complete details for all seven companies.
The item only states that an unnamed “best investor in the world” sold Microsoft, with no source, filing date, position size, valuation rationale, or confirmation. This is a very low-actionability sentiment headline. The only clearly implicated tradable ticker is Microsoft (MSFT), potentially negatively affected if the sale is confirmed and perceived as meaningful.
Garbled transcript of a bullish investment commentary arguing that analysts underestimated Alphabet/Google. The speaker cites recurring earnings evidence, YouTube’s strength on TV, Google Cloud backlog/RPO growth, and broader hyperscaler revenue acceleration as validation that AI/cloud capex is producing revenue. Amazon/AWS and Microsoft are also mentioned positively, though Microsoft’s higher forward P/E is framed as less attractive than cheaper peers. Actionability is moderate-low because the source lacks clean figures, dates, entry levels, and risk controls.
Supporting authors
Content was synthesized from multiple captured media items and transcripts. One author is credited in the source set; several additional source pieces were promotional or partially retrievable (YouTube IP restrictions), so supporting author detail is limited.
Unlock full thesis monitoring
Consider implementing mixed hedges across QQQ and IGV for broad tech/software exposure reduction, while sizing optional long convexity in NVDA and MSFT to reflect differentiated exposure to compute and platform distribution. Conduct your own due diligence and sizing consistent with risk tolerance.