“We Will Have a Crash”: Why AI Brings Out the Fear in People
“We Will Have a Crash”: Why AI Brings Out the Fear in People
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Focus on Eli Lilly (LLY) as a core thematic holding, as its integration of NVIDIA GPUs into drug discovery has led to 55% year-over-year revenue growth and a highly attractive PEG ratio below one. While Dell Technologies (DELL) has seen a parabolic price surge, the move is supported by a 50% increase in earnings guidance, making it a primary play for the physical infrastructure required for AI. Investors should consider rotating out of "hyperscaler" Big Tech stocks and into the "receivers" of their capital expenditure, specifically targeting sectors like Energy, Chemicals, and Power Infrastructure. Exercise caution with Bitcoin (BTC) by avoiding aggressive buys until the price moves back above its 200-day moving average, signaling a break from the current bear trend. Monitor the S&P 500 (SPY) for a breakdown in the 20-day or 50-day moving averages as a signal to reduce exposure, especially if supply chain bottlenecks or rising oil prices (USO) begin to pressure the broader market.

Detailed Analysis

S&P 500 (SPY) / QQQ

The market continues its exponential ascent, closing at all-time highs. However, market breadth is breaking down; while the S&P is up 5% for the month, only three out of eleven sectors are positive. This indicates the rally is almost entirely driven by the AI trade.

Takeaways

Monitor Technical Indicators: Do not panic about "bubble" talk. Use the 20-day and 50-day moving average crossovers or the 200-day moving average as signals to reduce exposure. • Watch for Regime Change: "Crappy beta" (dying software names down 70-80%) is starting to outperform high-fundamental AI names, suggesting a shift in market dynamics. • Production Risk: Markets are not pricing in production risks for the second half of the year caused by supply chain bottlenecks.


Dell Technologies (DELL)

Dell has seen a massive price surge (from $120 to $420). While some call it a bubble based on the chart, the company raised its fiscal 2027 earnings guidance by 50% (from $12 to $18 per share) and beat revenue expectations by $8 billion.

Takeaways

Justified Growth: The parabolic chart is backed by massive fundamental shifts and revenue growth (up 88% year-over-year). • Physical Infrastructure Play: Dell is a primary beneficiary of the "physical world upgrade" required for AI compute needs.


Eli Lilly (LLY)

Eli Lilly is highlighted as a "software play for human biology." The company is integrating AI deeply into drug discovery, utilizing over 1,000 NVIDIA Blackwell GPUs for its "LilyPod" supercomputer.

Takeaways

Pharma as AI Beneficiary: AI allows pharma companies to "mine" failed data and existing IP to find new treatments, transforming the economics of drug discovery. • Strategic Partnerships: Watch for continued deal-making with AI startups (e.g., Verve Therapeutics, Profluent, InSilico). • Financial Strength: Revenue is accelerating (up 55% year-over-year) with a PEG ratio below one, making it a core thematic holding.


Bitcoin (BTC) / Ethereum (ETH)

The crypto market is currently defined as being in a bear market. Bitcoin is struggling to stay above its 200-day moving average, and the spot ETFs recently saw their second-worst month of outflows.

Takeaways

Wait for Confirmation: There is no reason to buy aggressively until Bitcoin moves back above its 200-day moving average. • Long-term Bullishness: Despite the current bear trend, the "tokenization of everything" and the need for financial rails for AI agents remain massive long-term tailwinds. • Rotation Potential: The analyst rotated profits from Micron into Bitcoin and Silver, betting on a future recovery despite recent underperformance.


Modine Manufacturing (MOD) / Fujikura (5803.T)

These companies represent the "bottleneck" side of the AI infrastructure (thermal management and optical networking).

Takeaways

Supply Constraints: Even with great earnings, these stocks have faced pressure because they cannot meet production demand due to component shortages. • Warning Signs: Fujikura’s sharp breakdown after a massive run serves as a warning for other high-flying AI infrastructure names.


Investment Themes & Sectors

The "Physical World Upgrade"

The transition from AI models to AI agents requires a $90 trillion buildup in physical infrastructure over the next decade. • Key Sectors: Energy, Chips, Chemicals, and Power Infrastructure. • Insight: Investors should reduce weight in "hyperscalers" (Big Tech spenders) and increase weight in the "receivers" of that CapEx (the companies they are buying from).

The New 60/40 Portfolio

The traditional 60% stocks / 40% bonds allocation is becoming obsolete. • Insight: The new diversification is AI vs. Non-AI. Most traditional portfolios are 90% "Non-AI," leaving investors vulnerable to disruption in real estate, private equity, and traditional VC.

Energy & Inflation Risks

Oil (USO): Low global inventories and geopolitical tensions (Iran/Strait of Hormuz) pose a risk. If oil spikes to $160 as some majors predict, the broader market will likely correct. • Blackout Risk: Massive data center power demand could lead to summer grid failures, which would be a bearish catalyst for AI sentiment.

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Video Description
Subscribe at https://ai.22vresearch.com/ In this week's video, I over how the market continues to move higher with the second strong month in a row. The last two weeks are masking a deeper story. In the last month, only three of eleven sectors were positive, breadth is breaking down, and the AI trade is hitting real supply-side stress. Fujikura's earnings collapse, Modine's bottleneck commentary, and the semi test-equipment industry calling this its "worst-ever supply crunch" signal that bottlenecks are no longer theoretical, they're showing up in price action. With semis, hardware, and power accounting for 97% of long-short fund returns YTD per Morgan Stanley, any disruption to the build-out reprices the entire market. I also dismantle the "bubble" framing. Andrew Ross Sorkin spent eight years researching 1929 and went on 60 Minutes guaranteeing a crash without a date, depth, or mechanism. Korea's retail frenzy and record margin balances are real warning signs, but bubbles build tops, they don't snap on Monday. Walking through 1929, 1987, 2000, and 2008, a simple 20-day/50-day moving average cross or a 200-day break protected you from the vast majority of the drawdown every time. Labels are lazy. Price action is honest. The constructive case is intact. Jensen's $90 trillion build-out over the next decade-plus equals 85% of today's global economy. Dell raised FY27 EPS guidance from $12 to $18 and revenue to $165–195B, the chart is justified by the numbers. Anthropic raised $65B at $965B. Cisco's G2 Patel revised agentic WAN traffic from 2.5x to 9x over the next decade — a four-times repricing of the entire infrastructure stack. The most overlooked piece of the trade is Eli Lilly: 1,000+ Blackwell GPUs, the Lilly Pod supercomputer, the Verve gene-editing acquisition, revenue up 55% YoY, PEG below one. Torsten Slok nails it, the new 60/40 is AI versus non-AI, and benchmark weights remain 80–90% wrong. Timestamps • (00:00–02:00) Markets: S&P's second strong month, nine weeks up, but only three of eleven sectors positive. Breadth is deteriorating — the tape is carried by AI and industrials alone. • (02:00–05:30) Regime shift signals: Morgan Stanley Tech Momentum Index showing fatigue. "Crappy beta" tech now outperforming AI names with the best fundamentals — a classic warning that the trade has changed character. • (05:30–06:30) Bandwidth Wars / supply chain fragility: Fujikura broke down sharply on earnings, Modine flagged supply constraints, semi test equipment industry says "worst-ever supply crunch." Bottlenecks are showing up in real numbers. • (06:30–08:00) Korea bubble warning signs: retail mania, record margin balances, lunch-table stock talk. Risk/reward has shifted even if it isn't technically a bubble. • (08:00–12:00) Dell case study: stock from $120 to $420, called a bubble purely on the chart. But Dell raised FY27 EPS guidance from $12 to $18, revenue to $165–195B, beat by $8B, up 88% YoY. Numbers justify the move. • (12:00–15:00) The $90 trillion build-out: Jensen's framing — 85% of global economy over 10–15 years across energy, chips, and infrastructure. Andrew Ross Sorkin's eight-year crash research critique. • (15:00–23:00) Bubble psychology and technicals: walking through 1929, 1987, 2000, and 2008 — moving average crosses and 200-day breaks protect you in every case. Why bubble-calling is socially asymmetric and ego-protective. • (34:00–38:00) Podcast lineup: Raoul Pal & Julian Brigden (capital/labor → compute/energy), Salim Ismail & Peter Diamandis (company adaptation), Dan Shipper on Lenny's (agents don't kill SaaS — they become the new operating surface). • (42:00–51:00) AI-pharma deep dive: Eli Lilly's 1,000+ Blackwells, the Lilly Pod supercomputer, the Verve Therapeutics gene-editing acquisition pointing toward a one-time cholesterol cure, the $1B Nvidia drug-discovery lab. Revenue up 55% YoY, PEG below one, stock has doubled the Mag 7 since 2017. • (51:00–57:00) Inflation and power risks: Exxon and Chevron CEOs warning oil to $160, Strait of Hormuz overhang, ERCOT 135 GW peak load with 4% reserves, Goldman says only 50–60% of scheduled data center capacity comes online. • (57:00–60:00) Crypto and the new 60/40: Bitcoin still in a bear market, wait for the 200-day cross. Tokenization at the NYSE next week. The new 60/40 is AI vs. non-AI — and most portfolios remain weighted 80–90% the wrong way. Watch here
About Jordi Visser
Jordi Visser

Jordi Visser

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