All-In Podcast

Investors should prioritize NVIDIA (NVDA) as it remains the essential partner for frontier AI training, with the upcoming Blackwell and Feynman chip series secured for OpenAI’s next-generation models. Monitor Broadcom (AVGO) and AMD (AMD) as they gain traction through OpenAI’s strategy to diversify its hardware stack and develop custom silicon. Keep a close watch for an imminent Anthropic IPO following their confidential S1 filing, which represents the first major public entry point for a direct OpenAI competitor. Anticipate a major "consumer substrate" hardware launch by year-end, a collaboration between Jony Ive and OpenAI that could redefine the consumer AI device market. For long-term infrastructure plays, focus on companies providing power and data center capacity, as compute is projected to remain a scarce, high-demand resource through 2027.

Investors should prioritize Anthropic for potential IPO positioning, as its Claude model is currently outperforming competitors in professional tasks and growing at a 10x year-over-year rate. Apple (AAPL) remains a high-conviction "dark horse" in the AI race, with its upcoming M5 chips and high-memory hardware positioned to dominate the market for private, on-device AI processing. To hedge against model commoditization, look for infrastructure "connectors" like Glean or Abacus.ai that allow enterprises to switch between different AI models seamlessly. While white-collar roles face task automation, the massive build-out of AI data centers is fueling a "blue-collar boom" in the energy, power, and skilled trades sectors. Avoid the "job apocalypse" narrative and instead focus on companies utilizing "vibe coding" to increase software output, which is currently driving a 15% increase in developer job postings.