📌 Update: As of 19 August, our AI work spans the full infrastructure and monetization stack: hyperscalers turning record capex into cloud, advertising, enterprise software, and AI-service revenue; neoclouds supplying flexible, faster-to-access GPU capacity; and the physical and semiconductor bottlenecks underpinning scale, including optical interconnects, silicon photonics, leading-edge GPUs and custom accelerators, advanced packaging, memory interfaces, and HBM. The key investment question is no longer who sells the most AI chips, but which layers retain durable scarcity, pricing power, and earnings visibility as compute decentralizes, model costs decline, and inference becomes as important as training
📌 For high‑net‑worth capital, we prioritize engineered performance over marketing:
🔴 $250K+ | 5 years – Targeted: 0.5% monthly income plus 15% annually.
🟡 $100K+ | 2 years – Targeted: 0.5% monthly income plus 11% annually.
🟠 Below $100K | 4 years – Fixed 9% annual return, designed to outperform typical market benchmarks
AlgoTrader 