The New QE Is AI and Crypto: A Deflationary Revolution of Agents, Tokens, Bitcoin, and Robotaxis
The New QE Is AI and Crypto: A Deflationary Revolution of Agents, Tokens, Bitcoin, and Robotaxis
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Tesla (TSLA) is a top conviction buy, as it has reportedly solved autonomous driving with a major catalyst of driverless robotaxis expected in Austin within a few months. The massive AI infrastructure build-out presents a long-term opportunity in semiconductors and related industrial companies like Teradyne (TER). Consider allocating to Bitcoin (BTC), as current negative sentiment offers an attractive entry point ahead of a new cycle driven by real-world utility and institutional adoption. Be very wary of shorting small caps, represented by the IWM ETF, due to the high probability of a massive, retail-driven short squeeze. Finally, investors should turn their attention to the cryptocurrency and tokenization theme, as projects like Solana (SOL) are positioned for the next major growth phase.

Detailed Analysis

Artificial Intelligence (AI) & Semiconductors

  • The speaker describes AI as "the new QE (Quantitative Easing)" and a massive deflationary force that will restructure the entire global economy.
  • The core thesis is that the cost of intelligence is collapsing towards zero, which will lead to a massive productivity boom and higher profit margins for companies that adopt AI.
  • There is a massive build-out of data centers and AI infrastructure happening, which is driving insatiable demand. The speaker states, "The models are much further ahead than the supply... they don't have enough compute."
  • This build-out is not just about tech companies; it will require putting "brains in every single machine," creating a decade-long demand cycle for hardware.
  • There is a "severe memory shortage" and a rapid price surge for components like DRAM, directly contradicting experts who predicted an oversupply.
  • For semiconductors, the speaker notes that despite the sector being up 11% in the last month, "it's still early."

Takeaways

  • Investors should view AI not as a bubble, but as a fundamental, long-term shift comparable to the invention of electricity. The risk of under-investing is seen as greater than the risk of over-investing.
  • Consider gaining exposure to the semiconductor industry. The demand for chips and memory is described as insatiable and long-lasting, suggesting continued growth for the sector.
  • Look beyond obvious software plays. The real, immediate investment opportunity is in the hardware and infrastructure build-out required to power AI.

Magnificent 7 (AMZN, GOOGL, MSFT)

  • Companies like Amazon (AMZN), Alphabet (GOOGL), and Microsoft (MSFT) are leading a "rapid ramp in CapEx" (capital expenditures) to meet the surging demand for cloud and AI.
  • Microsoft noted its need to build infrastructure is a "fulfillment cycle for an existing contract," indicating that the spending is based on real, contracted demand, not speculation.
  • Alphabet stated, "the risk of under-investing is dramatically greater than the risk of over-investing."
  • These companies are achieving significant efficiency gains. Amazon, for example, is seeing its business and stock fly while laying off thousands of corporate workers, as they "don't need more people," they "need more intelligence."

Takeaways

  • The massive spending by the Mag7 is a strong bullish signal for the entire AI ecosystem, as they are the primary customers driving the infrastructure build-out.
  • While these stocks have performed well, the speaker suggests that if you are already heavily invested, you might consider looking at other parts of the AI value chain for new opportunities.

Industrial & Manufacturing AI Plays

  • The AI build-out is creating opportunities in traditional industrial sectors.
  • Caterpillar (CAT): The stock jumped 12% in one day. The company is benefiting from selling generators and turbines for data centers and from its autonomous mining vehicles.
  • Teradyne (TER): Highlighted as a "favorite name" that is shifting its growth driver from mobile to AI and computing. The speaker sees an upcoming upgrade cycle for computers, phones, and industrial components.
  • Modine Manufacturing (MODG): Another industrial company seeing its stock climb due to its business related to data centers.
  • C.H. Robinson (CHRW): A trucking company whose stock is up 50% in four months after launching an AI agent. Its operating margin increased by 680 basis points during a difficult period for the transport sector.

Takeaways

  • Look for "non-obvious" beneficiaries of the AI revolution in the industrial, energy, and materials sectors.
  • Companies that successfully integrate AI into their operations can see dramatic improvements in productivity and profitability, leading to significant stock price appreciation. CHRW is presented as a prime example of this.

Small Caps & Speculative Trades (IWM)

  • The speaker believes the market is entering a "true bubble phase" that will be driven by retail traders, not in the S&P 500, but in more speculative areas.
  • He predicts a "GameStop type situation, but at a much bigger level" is coming, likely in small caps (IWM) and crypto.
  • This will be driven by retail traders using massive amounts of short-dated call options (zero DTE options), which can create "gamma squeezes" that force short-sellers to buy back shares at higher prices.
  • Hedge funds are at all-time high gross leverage and are often short the same "fundamentally garbage companies" that retail traders are piling into. If PMIs (Purchasing Managers' Index) rise towards 60, many of these industrial small caps could benefit, triggering a squeeze.

Takeaways

  • The speaker warns investors to "be very wary again of being short small caps."
  • There may be an opportunity for a high-risk, high-reward trade in small caps (IWM) by anticipating a massive short squeeze. This is a speculative, momentum-based idea, not a long-term investment.
  • Pay attention to what retail traders are doing, as their coordinated option buying has become a powerful, market-moving force.

Tesla (TSLA)

  • The speaker is extremely bullish on Tesla, highlighting a report from Morgan Stanley's Adam Jonas who declared, "Tesla has solved autonomous driving."
  • This achievement is compared to the invention of the steam engine and is seen as the key to unlocking autonomy in robotics, aviation, and other fields.
  • Tesla is expected to operate its robotaxis with "no safety drivers in Austin within a few months." This is a major catalyst, as regulatory approval is not explicitly required in a state like Texas.
  • The cost differential will be a massive driver of adoption. An autonomous ride could be 70% cheaper than an Uber, a proposition that will be impossible for consumers and cities to ignore.

Takeaways

  • The speaker strongly advises against being short Tesla. He suggests that even long-only funds who are underweight the stock should reconsider their position.
  • Solving full self-driving (FSD) is viewed as a transformative event that makes Tesla a critical AI and robotics company, not just a car company. The full implications of this are likely not priced into the stock.

Bitcoin (BTC)

  • The speaker believes Bitcoin is a crucial asset to own, especially as AI drives a deflationary shock. Governments will need to increase money velocity, and crypto provides the rails for this.
  • The current negative sentiment, with the Crypto Fear & Greed Index at low levels, is described as a buying opportunity.
  • The growth of stablecoins and digital wallets (like Zelle integrating them) is a massive tailwind for Bitcoin. As more people have wallets, it becomes seamless to convert stablecoins into Bitcoin, increasing demand.
  • Michael Saylor's strategy with MicroStrategy is presented as a successful case study of using Bitcoin as a treasury asset to escape being a "zombie company." Bitcoin has outperformed the S&P 500 and even the Mag7 since Saylor adopted this strategy.

Takeaways

  • Consider allocating to Bitcoin. The speaker views it as a necessary asset for the coming economic phase.
  • Current negative sentiment could present an attractive entry point for long-term investors.
  • The institutional and infrastructural adoption of stablecoins is a major, under-appreciated catalyst for Bitcoin demand.

Cryptocurrency & Tokenization (SOL, WLD, Stablecoins)

  • The speaker predicts that the "real bubble" next year will be in crypto. He believes the market is in the early stages of its next major phase.
  • The current environment is compared to the period after the dot-com bust. The infrastructure (blockchain rails, Layer 2s) has been built, and the market is now ready for a new generation of applications to emerge, shifting from speculation to utility.
  • Stablecoins are becoming the "payment plumbing" of the financial system. The news that Zelle, the interface for over 1,800 U.S. banks, will use stablecoins for international transfers is a "monumental development" that will digitize the dollar settlement layer and replace SWIFT.
  • Tokens are described as the "heart of a new era," unifying AI and crypto. They will act as building blocks for AI money, identity, and digital assets.
  • Specific projects mentioned as part of this new wave include WorldCoin (WLD) for identity and Solana (SOL), whose founder's podcast is recommended listening.

Takeaways

  • Investors who focused on catching up with AI this year should now turn their attention to crypto, as the speaker believes "you won't have as much time with crypto."
  • The next crypto cycle will be driven by real-world utility, tokenization of assets, and the integration with AI, not just speculation.
  • Pay close attention to the theme of tokenization and the growth of stablecoin transaction volume, as these are key indicators of the "Token Revolution."

MicroStrategy (MSTR)

  • MicroStrategy is presented as a case study for how "zombie companies" (public companies unable to outperform a T-bill) can escape decline.
  • CEO Michael Saylor's decision to convert the company's treasury into Bitcoin is framed as a brilliant strategic move to compete in a market dominated by the $22 trillion Mag7.
  • The strategy has been a massive success. A chart shows the performance of Bitcoin relative to the S&P 500 as a "straight waterfall cliff" upwards since MSTR made its move.
  • The stock's performance has mirrored this, demonstrating that the market has rewarded this unconventional strategy.

Takeaways

  • MicroStrategy serves as a powerful example of how corporate adoption of Bitcoin can create immense shareholder value.
  • The stock can be viewed as a leveraged play on Bitcoin, managed by a CEO who has proven adept at capital markets strategy to acquire more Bitcoin.
  • The success of MSTR may inspire other public companies that are struggling to compete to consider a similar Bitcoin treasury strategy.
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Video Description
In this week's video, I break down results for October which closed another strong month for equities, S&P up 2%, Nasdaq up 5%, semis up 11%. Meanwhile, retail trading volumes continue setting records, zero-DTE options now dominate flow, and hedge fund leverage sits at all-time highs creating conditions for a GameStop-style squeeze at much larger scale across small caps and energy names that institutions have systematically avoided. Managers will need to adapt to this growing influence based on recent warning signs and AI trends, especially if PMIs move higher next year. The China-U.S. trade truce removes near-term uncertainty, setting up PMIs to potentially hit 60 next year as data-center buildout and energy infrastructure spending ramp. Powell's hesitation on December rate cuts move expectations slightly but financial conditions continue easing with spreads tightening and volatility collapsing across rates, FX, and credit. The thesis: AI's binding constraint has fully shifted from compute to power, and the labor market is entering its most disruptive phase as agentic AI begins replacing cognitive work at scale. Mag 7 earnings confirmed relentless capex acceleration, Amazon guiding to $125 billion in 2025, growing further in 2026 while companies like CH Robinson and Caterpillar demonstrated how AI-driven operating leverage is creating dramatic margin expansion. The memory shortage has entered a "grim phase" with DRAM prices spiking, and Tesla's autonomy breakthrough signals the beginning of the fastest technology adoption curve in history. On crypto, Zelle's international stablecoin integration marks the quiet digitization of dollar settlement infrastructure, accelerating the path toward tokenization and setting up 2025 as the year crypto moves from post-bubble recovery to genuine utility adoption. Michael Saylor's strategy vindication, Micro Strategy outperforming both equal-weight S&P and the Mag 7 since 2020 illustrates what happens when zombie companies recognize they can't compete with trillion-dollar digital monopolies and choose asymmetric positioning instead. Timestamps • (00:00–02:22) Markets & macro: October recap, China-U.S. truce implications, PMI expectations rising to 60, Powell's non-event, 70% odds for December cut remain • (02:22–04:46) Mag 7 earnings: Amazon, Alphabet, Microsoft all reiterate aggressive capex ramps; demand is insatiable, models ahead of supply, no overbuilding narrative holds • (04:46–08:45) Earnings breadth: 10.7% revenue growth beating nominal GDP, record profit margins at 12.9%, Caterpillar up 12% on generator/turbine demand, semis up 11% for the month • (08:45–17:22) Market structure & retail: Record retail option volumes, zero-DTE contracts now dominant force, hedge fund gross leverage at all-time highs, crowded long/short unwind accelerating, potential for multi-name GameStop event across small caps • (17:22–29:07) Labor disruption accelerates: Conference Board data shows Gen Z/millennials hit hardest, Amazon leaking 500k robot replacement plan, Chipotle/McDonald's confirm two-tier economy, labor participation continues falling as AI agents arrive • (29:07–34:50) Cognitive labor collapse: Raoul Pal/Emad Mostaque conversation on reasoning breakthrough, cost of intelligence falling from $600/token to $5, deflationary shock incoming, CH Robinson up 50% in four months on 680bps margin expansion from AI agents • (34:50–40:19) Memory shortage intensifies: DRAM prices spiking, "too late to secure supply" warnings, Tesla autonomy solved per Adam Jonas, FSD implications for humanoids and broader robotics • (40:19–46:43) Bitcoin & crypto setup: Down 4.5% for month but fear/greed at buy levels, Zelle stablecoin integration, tokenization infrastructure now mature post-bubble, volumes set to double in 2025 • (46:43–56:10) Investment implications: Small cap rotation setup, Michael Saylor vindication, crypto entering utility phase, market structure favoring retail/momentum, avoid overweight Mag 7/software, focus on energy/Bitcoin/small caps where alpha is migrating
About Jordi Visser
Jordi Visser

Jordi Visser

By @jordivisserlabs

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