AI Infrastructure Alpha

Artificial intelligence is the largest capital expenditure cycle in technology history — hyperscalers are spending over $200 billion annually building GPU clusters, and every dollar flows through the same bottleneck: the chips that train the models, the memory that feeds them, the equipment that fabricates both, and the software that turns raw compute into actionable intelligence. This isn't a bet on which AI app wins — it's a bet on the picks and shovels that every AI application must buy regardless of whether the winner is OpenAI, Google, or a startup that doesn't exist yet. The AI infrastructure buildout is still in early innings: enterprise AI adoption is under 10%, sovereign AI programs are launching across 30+ countries, and the transition from training to inference is creating a second wave of chip demand that could exceed the first. But AI stocks don't go up in a straight line — they correct 20-30% between legs higher. This strategy captures the uptrends with conviction and rotates into gold and Treasury bills during corrections, so your capital is either compounding in the strongest AI momentum or earning yield on the sideline. It never sits in a drawdown hoping for recovery — it steps aside and waits for the trend to prove itself again.