The primary investment strategy is to focus on physical scarcity assets like Energy, Materials, and Semiconductors while avoiding the software sector. Consider a long position in the energy sector ETF (XLE), as the trend of Energy outperforming software is expected to be a long-term theme. Invest in the AI hardware bottleneck through memory chip makers like Micron (MU) and optical component supplier Corning (GLW), which are in the early stages of their growth cycle. For broad exposure to the materials and energy themes, the Brazil ETF (EWZ) is highlighted as a top strategic investment for the year. Finally, accumulate Silver for its essential role in AI and solar, but be prepared for significant price volatility.

Investment Theme: Scarcity vs. Abundance

• The main investment thesis for the year is to be long scarcity and short abundance. • Scarcity refers to physical assets like energy, materials, critical minerals, and the hardware (semiconductors, memory) needed for the AI build-out. These assets are expected to experience parabolic moves higher due to supply constraints and high demand. • Abundance refers to assets like software, where AI is making it easier and cheaper to create, leading to intense competition, margin pressure, and multiple compression. • Investors should get used to parabolic moves and high volatility in scarcity assets.

Takeaways

• Focus your investment strategy on sectors with physical supply constraints (Energy, Materials, Semiconductors). • Be cautious or outright bearish on the traditional software sector, as AI is commoditizing code and increasing competition. • Prepare for a volatile market where assets can rise dramatically but also fall sharply, as seen with Silver and Gold.

Software Sector

• The speaker is very negative on the software sector, describing it as a "collapse" and the worst-performing sector year-to-date, down 12%. • The core problem is that AI tools (Claude, etc.) are making it easy to replicate and compete with existing software products, eroding their "moat" and growth potential. • The narrative around large cloud backlogs (RPOs) is questioned, as physical data center bottlenecks may prevent this backlog from turning into actual revenue at the expected pace. • Microsoft (MSFT): The chart looks "horrible," having broken below its 200-day moving average. The company is spending heavily on AI, but bottlenecks in data center capacity create uncertainty about when they will see a return on that investment. • Oracle (ORCL): Its stock chart is shown leading the way lower, with Microsoft now following. • SAP: The plunge in SAP stock highlights that this is a global software problem, not just a U.S. issue. • Palantir (PLTR): While it benefits from data analytics, it is "not immune" to the multiple compression happening across the entire software space. • Salesforce.com (CRM): Mentioned as the short side of a successful pair trade against Chevron.

Takeaways

• The speaker strongly advises against trying to "pick the bottom" in software stocks, suggesting there are better investment opportunities elsewhere. • The risk in the software sector is high, as even good news is failing to lift stock prices, which is a significant bearish signal. • The fundamental business models of many software companies are being challenged by the rapid advancement of AI.

Energy & Materials

• Energy is the best-performing sector year-to-date and is a core part of the "physical upgrade" theme. The speaker is "pounding on energy" and believes investors "have to be involved." • The outperformance of the energy sector ETF (XLE) versus the software ETF (IGV) is in its "very beginning stages" and is expected to continue. • Chevron (CVX): Highlighted in a successful pair trade: long Chevron calls and short Salesforce.com (CRM) puts, which was reportedly up 45% in one month. • Raw Industrial Metals: The CRB Raw Industrials Index is showing strength. The speaker created a custom index of 75% copper and 25% silver, which is also trending higher, signaling strength in metals needed for electrification and AI.

Takeaways

• The Energy and Materials sectors are presented as a primary area for investment, driven by scarcity and the physical demands of the AI build-out and global economic upgrades. • The trend of energy and materials outperforming technology and software is expected to be a long-term theme.

Silver (XAG/USD) and Gold (XAU/USD)

• Both metals experienced a "multiple standard deviation fall" on a recent Friday but had an exceptionally strong month overall. Gold had its best month in 15 years. • Silver is highlighted as more than just a precious metal; it is a critical industrial component for AI and solar energy. - The rising price of silver is increasing the cost of solar panels, potentially slowing the solar build-out and creating more demand for other power sources. • The price charts of these metals are described as "parabolic," which is characteristic of scarcity-driven assets.

Takeaways

• Despite short-term volatility, the trend for precious and industrial metals like Gold and Silver is strong. • Silver's investment case is supported by both its monetary value and its essential, non-substitutable role in high-growth industries like AI and solar. • Investors in these assets should be prepared for extreme volatility, including sharp, sudden price drops even within a broader uptrend.

Semiconductor & Hardware Sector

• This sector is a key "scarcity" play, driven by "insatiable" AI demand that is outstripping supply. • Memory Chips (DRAM/NAND): This is a major bottleneck. - Samsung reportedly raised NAND flash prices by 100%. - One manufacturer's entire 2026 production is already sold out. - Micron (MU) and Western Digital (WDC) / Sandisk are mentioned as key players. WDC had an earnings per share beat of almost 100%. - The speaker notes that while memory stocks have had a big run, the story is still in its "early stages." • Corning (GLW): The $6 billion multi-year deal with Meta for optical fiber validates the thesis that data transmission infrastructure is the next major physical bottleneck for AI. The speaker believes the major growth phase for Corning is still to come. • Semiconductor ETFs: The speaker now prefers the energy trade over the broad semi-ETF SMH for the year, as names like NVIDIA (NVDA) have already had a large run. However, they believe smaller, analog-focused chip ETFs like XSD could see names that "double this year." • Apple (AAPL): The speaker recommends buying high-end hardware like iPhones and Macs now, predicting that the cost of memory will cause prices for these devices to "go up significantly." He forecasts that computers in 2027 could be triple their current price.

Takeaways

• The hardware and semiconductor sectors, especially memory and optical components, are prime areas to invest in the "scarcity" theme. • Look for opportunities beyond the biggest names like NVIDIA. Smaller companies focused on memory (Micron, WDC) and infrastructure (Corning) may have more upside. • The rising cost of components is expected to lead to significant price inflation for consumer electronics.

Brazil (EWZ)

• The speaker is extremely bullish on Brazil, stating "Brazil, Brazil, Brazil. I can't emphasize it enough." • The investment case is tied to several themes: - Its high correlation to the raw industrial metals trend. - Its role in the "green compute arbitrage of the AI decade," suggesting it could be a key location for energy-efficient data centers. • The Brazil ETF (EWZ) has seen a massive rise, its biggest since 2020, despite a small recent pullback.

Takeaways

• Brazil is highlighted as a key strategic country to invest in for the year, positioned at the intersection of the materials, energy, and AI themes. • Investors can gain exposure through the EWZ ETF.

Bitcoin (BTC)

• Short-Term View: Bearish to neutral. The price is "asleep," and the chart is described as "horrible." It is difficult to buy from a trading perspective until the chart improves. • Long-Term View: Bullish. The speaker dismisses concerns about "quantum risk" as trivial compared to the immediate risk of AI agent swarms to the traditional financial system. - It is argued that Bitcoin is far more resilient to these new AI-driven threats than centralized banks (J.P. Morgan, Goldman Sachs). - A future systemic event in the fiat banking system, potentially caused by AI agents, could trigger a massive flow of capital into Bitcoin. • Like Silver and Micron, Bitcoin is viewed as a scarcity asset that has not yet had its parabolic move but will be "part of this equation" eventually.

Takeaways

• While the short-term trading outlook for Bitcoin is poor, its long-term investment thesis is strengthening. • The core long-term bull case is not just as digital gold, but as a secure alternative to a traditional financial system that is seen as increasingly vulnerable to advanced AI-driven cyber threats.

Upcoming AI IPOs (OpenAI, Anthropic)

• The speaker is very cautious about the wave of anticipated AI company IPOs, including OpenAI, Anthropic, and XAI. • These IPOs are seen as a negative for the market because: - They will "saturate" the market with trillions of dollars in new growth stock offerings, potentially drawing capital away from existing companies like Microsoft. - They could mark a market "peak" for the AI software theme, similar to how the Blackstone IPO in 2007 preceded the great financial crisis.

Takeaways

• Be wary of the potential negative impact that massive AI IPOs could have on the broader market, particularly on existing technology and growth stocks. • These events could signal a top in the AI software hype cycle and lead to a reallocation of capital.