AI Is the Only Engine Behind US Treasury Yields, Analyst Argues
In a recent interview, macro analyst Jordi Visser made a bold call: AI is now the single most important force shaping US Treasury yields, and investors who ignore this relationship risk missing one of the most powerful investment themes of the decade. Visser, known for his work on the intersection of technology and macroeconomics, argued that the AI boom is not just a tech story—it is a macroeconomic story that is driving capital flows, productivity expectations, and ultimately the direction of interest rates.
The AI-Treasury Yield Nexus
Visser’s core thesis is that the massive capital expenditure required to build out AI infrastructure—data centers, chips, power generation—is creating a new economic cycle. This investment boom is lifting growth expectations and, paradoxically, putting upward pressure on long-term yields even as the Federal Reserve contemplates rate cuts. “AI is the only engine driving US Treasury yields,” Visser said, implying that without the AI capex cycle, yields would be significantly lower. This has profound implications for asset allocation: traditional bond-equity correlations may break down, and investors need to position for a world where technology spending dictates the cost of capital.
Micron: A High-Beta Play on AI Memory Demand
Against this backdrop, Visser singled out Micron Technology (MU) as a standout opportunity, suggesting the stock has 60% to 80% upside. His reasoning centers on the insatiable demand for high-bandwidth memory (HBM) and other advanced memory solutions required for AI training and inference. As AI models grow larger and more complex, memory bandwidth becomes a critical bottleneck, and Micron is one of only a few suppliers capable of meeting this demand. Visser believes the market is underestimating the duration and magnitude of the memory upcycle, which could last several years as AI adoption spreads from hyperscalers to enterprises and edge devices.
The Longevity Economy: A High-Conviction Theme
Beyond AI, Visser highlighted the longevity economy as a “highly certain” investment theme. With aging populations in developed markets and rising healthcare costs, companies focused on extending healthy lifespans—from biotech to preventive care and digital health—are poised for structural growth. Unlike AI, which is subject to hype cycles and regulatory uncertainty, the longevity trend is driven by demographics, making it a more predictable long-term bet. Visser suggests investors should allocate to this theme as a hedge against the volatility inherent in technology investing.
Implications for Crypto and Digital Assets
While Visser’s comments were focused on traditional markets, his framework has implications for crypto investors. The AI-driven capex boom is also fueling demand for decentralized compute and GPU networks, which are increasingly settling on-chain. Moreover, if AI keeps Treasury yields elevated, the opportunity cost of holding non-yielding assets like bitcoin could rise, potentially pressuring crypto valuations. However, if AI-driven productivity gains lead to a new era of growth, risk assets—including crypto—could benefit from a rising tide. The key takeaway is that macro investors can no longer ignore the AI-crypto nexus.
Forward-Looking Perspective
Visser’s views underscore a broader shift: the boundaries between technology, macroeconomics, and digital assets are blurring. As AI continues to reshape the economy, its impact on interest rates, corporate earnings, and asset prices will be profound. For investors, the message is clear: understand the AI capex cycle, position in key enablers like Micron, and don’t overlook demographic-driven themes like longevity. In a world where AI is the only engine driving yields, the winners will be those who can navigate this new macro regime.
