The AI Cycle Everyone Is Ignoring

Key Concepts

• AI Boom Concentration: The current artificial intelligence (AI) boom is characterized by extreme concentration, with a few firms dominating investment, supply chains, and purchasing, leading to inflated valuations.
• Closed-Loop Capitalism: A system where companies within a specific sector finance, supply, and purchase from each other, creating mutually reinforcing relationships that are fragile if momentum falters.
• Financial Mania Phases: Drawing on Charles Kindleberger's work, the AI cycle is argued to be in the "mania" phase, characterized by easy gains, visible promoters, and expectations outrunning reality.
• Market Correlation and Diversification Risk: High correlations across asset classes, driven by a single dominant narrative (AI), diminish the effectiveness of traditional diversification strategies.
• Monetary Metals as Stability Assets: Gold and silver are presented as assets offering stability due to their independence from the AI narrative, circular financing, and speculative expectations.
• Structural Shifts in Gold and Silver: Analysis suggests that gold and silver are exhibiting long-term structural strength, with gold breaking out of an 11-year base relative to the S&P 500, and silver showing signs of accelerated momentum.

The AI Boom: Concentration and Fragility

The global stock market is experiencing an unprecedented surge in investment into artificial intelligence, with trillions of dollars being poured into the sector. However, a critical concern is the lack of clarity regarding long-term profitability. A small group of dominant firms are engaged in a closed-loop system of financing, supplying, and purchasing from one another, which is artificially inflating their valuations. This situation is exacerbated by regulators stepping back, citing national security concerns. Analysts are warning of extremely high correlations across assets, suggesting that a sudden shift in market expectations could leave investors with nowhere to hide. This scenario is becoming increasingly familiar and should be a cause for concern among investors.

The AI boom has become so pervasive that it now shapes the behavior of nearly every major financial index, pension fund, and asset allocator. While a dominant narrative can create a sense of unstoppable progress, it also significantly increases the risk of a synchronized shock across the market.

Key Observations on the AI Trade:

• Concentration of Power: Companies like Nvidia have reached unprecedented valuations, with Nvidia becoming the first $5 trillion company. Microsoft, Alphabet, and a few others have also seen significant rallies.
• Massive Capital Expenditure: Investment in data centers and chips is reaching figures comparable to defense budgets, indicating a scale of corporate investment that is unusual.
• Elements of Irrationality: Alphabet's CEO has acknowledged elements of irrationality within the current investment cycle, despite believing in the long-term potential of AI. He also noted that no company is immune to shifts in expectations.
• Market Not Pricing Catastrophic Risk: The argument is made that markets are not adequately pricing the risk of a potentially catastrophic outcome.
• Narrow Market Breadth: A small number of AI-linked companies are responsible for the majority of the S&P 500's returns.
• Limited Impact on Broader Economy: The growth generated by the AI boom has not significantly permeated into the broader economy. Energy and transportation firms report their growth is now dependent on data center construction rather than traditional industrial demand.
• Circular Finance: Examples like Nvidia investing in OpenAI, OpenAI purchasing Nvidia's chips, and Oracle financing data centers for OpenAI illustrate a pattern of "closed-loop capitalism." This system relies on mutual reinforcement and becomes fragile when momentum wanes. Professor Fang Lee describes this as "closed loop capitalism."
• Potential Peak in Tech Markets: Michael Bur suggests that tech markets may have already peaked within this cycle, even as capital expenditure continues to rise, drawing parallels to previous investment booms where stock markets peaked before capital expenditure.

Historical Parallels: The Mania Phase

Financial history offers valuable insights into periods of intense enthusiasm that outpace economic reality. Historian Niall Ferguson argues that the current AI boom is following a classic pattern of financial mania, as described by economic historian Charles Kindleberger.

Kindleberger's Five Stages of Financial Mania:

1. Displacement: A real technological or economic shift occurs.
2. Euphoria: Early adoption and widespread excitement.
3. Mania: Expectations outrun reality, easy gains attract new investors, and promoters become more prominent than producers.
4. Distress: The realization that expectations are unsustainable.
5. Revulsion: A sharp and painful correction.

Ferguson believes that the AI cycle is already deep into the "mania" phase (stage three).

• Displacement: The real technological progress in AI.
• Euphoria: The early adoption phase of cloud computing, large language models, and generative AI.
• Mania: The current stage, characterized by chip orders placed years in advance, near-certainty assigned to future revenues, frequent partnership announcements, and entire industries reorienting to serve the AI theme.

Financial history indicates that the mania phase often feels safe while it's occurring, with investors remaining confident, analysts acting as cheerleaders, and governments framing the theme as a national priority. Regulators may hesitate, and markets reward conformity. The fragility of the foundation only becomes apparent during the distress phase. Ferguson's comparisons to the 1920s, the dot-com boom, and the crypto bubble are significant because, while history doesn't repeat exactly, it often rhymes in observable patterns when viewed from a broader perspective.

Stability in a Narrative-Dominated Market: The Role of Monetary Metals

In a market dominated by a single, concentrated, and highly optimistic narrative like AI, portfolio stability becomes a critical concern. Traditional diversification methods are less effective when correlations across asset classes are high. The question arises: where can investors find stability when the dominant narrative is both powerful and potentially fragile?

The answer lies in assets that are not dependent on the latest investment fashion, partnership announcements, or quarterly guidance from Silicon Valley. The monetary metals, gold and silver, are presented as such assets. They are not fashionable but are "gloriously indifferent" to capital cycles and corporate ambition.

Structural Shifts in Gold and Silver:

• Gold's Breakout: Michael Oliver's analysis indicates that gold's performance relative to the S&P 500 has broken through an 11-year base. Historically, such breakouts have been accompanied by significant moves in the gold price, not just modest outperformance but substantial absolute gains.
• Silver's Momentum: The spread between silver and gold is also showing a similar pattern, with a three-and-a-half-year ceiling within reach. Momentum indicators tracked by Oliver are close to triggering.
• Accelerated Silver Phase: In past cycles, when these structures broke, silver entered an accelerated phase lasting several months, redefining its price range for years.
• Outperformance of the Stock Market: Silver has begun outperforming the stock market, suggesting that capital may be moving out of equities and into silver, even if this narrative hasn't fully caught on in mainstream financial media.

While these indicators do not guarantee immediate or linear moves, they suggest that the long-term foundations of the monetary metals are strengthening precisely as the AI-led market's foundations may be becoming more fragile.

Conclusion: The Anchor of Independence

Portfolio stability in a market dominated by a single narrative is not an illusion created by rising indices but a structural stability derived from owning assets independent of circular financing, concentrated revenues, or highly correlated expectations. Gold and silver offer this stability because they are "outside the loop." They move according to different forces, provide diversification when correlations are high, have no counterparty risk, and do not require future technology cycles to justify their value.

In an increasingly interconnected financial world, this independence is not a luxury but an anchor. True stability is found not in the latest trending theme, press release, or a newly valued $5 trillion company, but in allocations that retain value when narratives shift, cycles turn, and investors begin to ask the questions that others have avoided. Investors are urged to carefully consider where they want their stability to come from and ensure it is not tied to the same assumptions as everyone else.