AXIOMA ROOF™ SCORE HIGHLIGHTS

• US: Fed Chair Warsh’s testimony to Congress and big banks Q2 earnings. The June CPI report and the consumer confidence index.
• Europe: Eurozone industrial production data. UK May GDP figures.
• APAC: China’s Q2 GDP, trade balance, monetary aggregates, industrial production, retail sales, unemployment, and housing prices data. TSMC Q2 earnings.
• Global: The evolution of the Hormuz situation and earnings guidance from CEOs.

For those who love the smell of 10-Qs in the morning, the Q2 earnings season gets underway this week with big banks, Netflix, J&J, and UnitedHealth reporting. Meanwhile in Iran, the Trump administration is learning that if peace is hard to produce, it’s even harder to revive.

In the US market, the surge in trading volumes during Q2 coincided with the return of momentum as one of the market's best performing factor. Medium-term Momentum’s return was 1.4 standard deviation above it’s historical mean going back to 1982, while Crowding’s return did even better at 1.8 standard deviations. By contrast, Short Interest—a proxy for investors hedging their bets—was slightly negative and only a -0.2 standard deviations event. The message from factors is unmistakable: investors joined the AI trade and didn't feel the need to hedge it.

The Technology sector added another five percentage points to its already commanding weight in the STOXX US index during the quarter and now contributes around 63% of the index's volatility: a 13% jump from its Q1 contribution. The market has become increasingly concentrated around a single narrative, but not the familiar kind investors are used to pricing, such as the next FOMC meeting, inflation print, or jobs report. Those are conventional futures: uncertain, but bounded by precedent and process. The AI narrative is different. It asks investors to underwrite a future that remains largely unknowable, highly speculative, and still close enough to science fiction that confidence can easily masquerade as imitation.

Investing isn’t about wanting all the upside but none of the responsibility. Every investment is a declaration of belief. A trade doesn't just buy or sell a stock; it reshapes a portfolio, changing its exposures, its risks, and its dependence on a particular potential future. Once the trade is made, the market decides whether that belief was justified. Investors whose only defense when it fails is that everyone else was buying it too, never really held an investment thesis—they simply held a reservation about missing out.

Much of the new capital flowing into AI today feels less like conviction than contagion. Few investors can confidently describe what an AI-dominated economy will look like, let alone estimate the value that should accrue to today's potential winners. AI remains a story of extraordinary investment, extraordinary expectations, and largely hypothetical returns. The infrastructure is real; the profits are still mostly promises. Yet investors continue to increase their exposure to that single theme because everyone else is doing the same. It is the investment equivalent of a freshman following the crowd at lunchtime to find the cafeteria. The destination may be right, but the decision tells us nothing about the traveler.

Perhaps this really is conviction. But conviction is usually built on evidence, while imitation is built on observation. When valuations are already stretched, index concentration extreme, and the eventual economics of AI remain deeply uncertain, the distinction matters. Momentum and Crowding tell us investors overwhelmingly chose the same side of the AI trade. Short Interest suggests few felt compelled to insure against being wrong. That may prove prescient, or it may prove expensive. But if your investment thesis is simply that everyone else is buying it, don't mistake consensus for conviction.

Investing works on the principle that an allocation of capital is not an outcome; it is an experiment. There is no failed investment, only an investment thesis that has been tested and found wanting. The responsibility of the investor is not to avoid being wrong, but to know what they believed before they were proven wrong. Because a position entered without conviction cannot become a lesson—it can only become a regret. 

Investors have already suffered four bouts of AI fears. The fact that markets recovered from each of these wounds doesn’t prove they have the capacity to heal, they may just scab over.