Despite a surge in AI-related capital expenditures that highlights the U.S., Taiwan, and surprisingly Sweden and the UK, this investment trend has not yet become a significant driver of currency returns. For now, it's considered a minor tailwind rather than a game-changing factor for FX markets.

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In 2022, investors punished Meta's stock for its Reality Labs CapEx. Today, the market applauds even larger AI-related spending (66% of MAG-5's operating cash flow). This signals a fundamental belief that AI investments translate directly to tangible near-term earnings, unlike speculative bets like the Metaverse.

While high capex is often seen as a negative, for giants like Alphabet and Microsoft, it functions as a powerful moat in the AI race. The sheer scale of spending—tens of billions annually—is something most companies cannot afford, effectively limiting the field of viable competitors.

The current AI spending spree by tech giants is historically reminiscent of the railroad and fiber-optic bubbles. These eras saw massive, redundant capital investment based on technological promise, which ultimately led to a crash when it became clear customers weren't willing to pay for the resulting products.

Within just six months, AI-related investment has transformed from a niche topic to a primary focus in top-down cyclical discussions at major global finance conferences like the IMF/World Bank meetings. This rapid shift highlights its perceived impact on global growth and employment.

The link between emerging market currencies (EMFX) and US tech stocks is not about the tech sector itself. Global equity markets have become a unified signal for the global economic cycle. A sell-off worries investors about global growth, impacting risk-on EM currencies regardless of their direct tech exposure.

Current AI spending appears bubble-like, but it's not propping up unprofitable operations. Inference is already profitable. The immense cash burn is a deliberate, forward-looking investment in developing future, more powerful models, not a sign of a failing business model. This re-frames the financial risk.

The most effective FX expression of the AI theme is through carry strategies, not by picking individual currencies. FX carry shows a high correlation with AI-beneficiary equity sectors like tech and energy. This allows a broad basket of high-yield currencies to outperform as a group, even those without direct AI exposure.

Contrary to the common narrative, large equity inflows into the US from the AI theme are not reliably driving dollar strength. History shows Foreign Direct Investment (FDI) has a much stronger correlation with FX performance. Currently, timely FDI indicators are not showing a meaningful pickup, suggesting a key support for the dollar is missing.

The narrative of a broad AI investment boom is misleading. 60% of the incremental CapEx dollars in the first half of 2025 came from just four firms: Amazon, Meta, Alphabet, and Microsoft. Owning or being underweight these four stocks is a highly specific bet on the capital cycle of AI.

The AI infrastructure boom is a potential house of cards. A single dollar of end-user revenue paid to a company like OpenAI can become $8 of "seeming revenue" as it cascades through the value chain to Microsoft, CoreWeave, and NVIDIA, supporting an unsustainable $100 of equity market value.