Situational Awareness, Hyperscaler Earnings and Warsh: A Bottom for AI Stocks?
Situational Awareness, Hyperscaler Earnings and Warsh: A Bottom for AI Stocks?
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Capitalize on recent market panics by buying high-conviction semiconductor stocks like Micron Technology ($MU**)** below $900, with a medium-to-long-term price target of $1,500 to $1,600.

Target supply-chain infrastructure leaders like Corning ($GLW**)**, which recently hit its 200-day moving average and secured massive partnerships including a $6 billion deal with Meta.

Focus your investments on major hyperscalers—such as Amazon, Google, and Microsoft—that boast a combined $1.7 trillion backlog driven by insatiable AI compute demand.

Maintain disciplined position sizes and use phased entry strategies, as structural market volatility will remain elevated above historical averages.

Detailed Analysis

AI and Technology Infrastructure Sector

  • Compute demand is described as insatiable, with no indications that the supply side can keep up with current demand.
  • Major hyperscalers (Meta, Google, Microsoft, Amazon) have reported backlogs and confirmed that customer demand continues to exceed available capacity, refuting rumors of cutting capital expenditures (CapEx).
  • Backlog numbers mentioned include $500 billion for Amazon, $500 billion for Google, and $700 billion for other major commitments, totaling $1.7 trillion between the three giants.
  • The AI trade experienced a major market cleansing event due to a massive hedge fund unwind (specifically involving a large fund called Situational Awareness), which drove tech momentum factors down significantly.
  • Despite the recent panic and volatility, over 70% of AI-related stocks and positions remain above their 200-day moving average, indicating that the broader structural bull market remains intact.
  • Token efficiency and compute accessibility are emerging as the ultimate competitive moats, with frontier model revenues scaling rapidly (e.g., Anthropic and OpenAI tracking towards massive annual revenues).

Takeaways

  • Look for buying opportunities during major market panics or speed crashes, using a structured entry approach rather than trying to perfectly time the bottom.
  • Focus on companies with secure access to hardware and strong fundamental backlogs (such as hyperscalers and key hardware suppliers) rather than being swayed by short-term bearish macro narratives.
  • Monitor risk closely as structural market volatility is expected to remain higher than historical averages due to the rapid acceleration of AI and algorithmic trading agents.

Micron Technology (MU)

  • Highlighted as a key holding in the thematic portfolio that experienced significant pullbacks during the broader momentum unwind.
  • The speaker added to their position at levels below $900, noting that while absolute bottoms are difficult to pick, the risk-reward profile becomes much more attractive below this threshold.
  • Viewed as having strong upside potential back toward $1,500 to $1,600 over the medium to long term.

Takeaways

  • Consider scaling into high-conviction semiconductor and memory names during periods of broad market liquidations when prices dip significantly below their moving averages.
  • Maintain a disciplined position size (e.g., fractional allocations compared to previous peak weightings) to manage risk effectively during high-volatility regimes.

Corning (GLW)

  • Highlighted as one of the 10 concentrated portfolio names due to its strong correlation with the broader index and direct partnerships with major tech players.
  • Secured significant optical fiber partnerships, including a $6 billion commitment from Meta and a partnership with Nvidia.
  • Recently traded back down to test its 200-day moving average before rebounding, presenting a technically sound entry point.

Takeaways

  • Look at supply-chain beneficiaries like Corning that provide the physical infrastructure (such as optical fiber) required to build out data centers and support insatiable AI compute demand.

Bitcoin (BTC) / Cryptocurrency

  • Discussed in the context of broader market liquidity and retail energy, noting that crypto currently lacks the intense retail participation seen during peak speculative cycles.
  • Regulatory developments like the Clarity Act remain pending in Congress, though their passage is considered secondary to the long-term structural adoption of the asset class.

Takeaways

  • Recognize that crypto markets require broader retail liquidity to sustain massive parabolic runs, and manage short-term expectations accordingly while focusing on long-term structural adoption themes.
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Video Description
For More Information on becoming a subscriber visit ai.22vresearch.com Email Mark Whaling at mwhaling@22vresearch.com In this week's video, I break down the importance of the unwind of Situational Awareness, a fund with a reported $45 billion in positions, and why my experience with LTCM, the 2007 quant unwind, and Archegos tells me this was likely a cleansing event. The Goldman Sachs VIP index of crowded hedge fund positions fell 12% relative to the S&P in a single month, worse than Lehman, with seven points of that damage occurring in just four days. Tech momentum was down 40% for the month at one point, worse than anything in the dot-com era, all while the S&P closed the month unchanged and the VIX stayed low. That divergence is the story. Market structure has changed forever: AI is compressing economic time, terminal value is harder to estimate, and factor volatility has moved structurally higher. Optimized portfolios built on past correlations are giving investors a false sense of confidence, and prime brokers won't allow leverage back to prior levels. Expect more speed crashes, not mean reversion. Meanwhile, the fundamental case strengthened as sentiment followed price with new narratives. Hyperscaler earnings delivered a combined $1.7 trillion backlog across Amazon, Google, and Microsoft, with every CEO saying the same thing: demand exceeds available compute. I say it every week, compute demand is insatiable. With the thematic portfolio having corrected in both price and time, the risk-reward on the AI trade is meaningfully better than it was in May. Why I believe odds favor a bottom being in place. Timestamps • (00:00–02:40) Setup: A brutal July for factors, tech, and hedge funds beneath a flat S&P; why this was likely a cleansing event and why compute demand being insatiable remains the single most important weekly takeaway. • (02:40–06:17) The damage: Goldman's VIP crowded-positions index down 12% vs. the S&P, the worst relative month since 2001, exceeding Lehman with the worst four-day rate of change ever, including COVID. FT reports banks demanding additional collateral. • (06:17–10:49) Situational Awareness unwinds: Citadel buys the portfolio; Millennium also bid. Parallels to LTCM, the 2007 quant unwind, and Archegos once prime brokers start marketing a book, everyone sees the poker hands. • (10:49–16:51) Anatomy of the panic: billions in SMH puts, record E-mini volume into the close, and momentum factor carnage, tech momentum down 40% YTD, industrial down 32%, sector-neutralized down 21%. • (16:51–20:30) Structural shift: momentum factor volatility at 45-year highs outside a recession; realized factor vol implies 6–7% daily moves. Re-risking will be slow this vol regime isn't mean reverting. • (20:30–26:29) Why it's permanent: AI is compressing time, bubbles, parabolas, and speed crashes. Terminal value uncertainty drives multiple compression even as S&P earnings grow 20%+. Robinhood's AI trading agent gives retail quant-level tools. • (26:29–30:09) The market structure trade: NDX realized vol near lows while factor vol goes parabolic a critical conversation for RIAs and mutual funds with longer time horizons than hedge funds. • (30:09–41:26) Still a bull market: 67 new S&P highs, broad breadth, follow-through day framework for confirming the low. Combing through the rubble names above rising 200-day averages, including Micron, Marvell, AAOI, and Corning. • (41:26–47:51) Watch items and fundamentals: CCC spreads diverging from high yield (private credit risk), against hyperscaler earnings showing a $1.7T combined backlog and every CEO Zuckerberg, Pichai, Nadella, Jassy saying demand exceeds compute supply through 2027. • (47:51–1:01:54) The bigger picture: Anthropic and OpenAI pacing toward $175B in combined revenue; token efficiency as the new moat (the gas-and-cars analogy); DRAM prices still rising weekly; the Fed after Warsh; Kevin Rudd on China; and why the lows from this unwind matter.
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