Watts, Wafers, and the Future of AI Infra | Gavin Baker

Its products are used in high performance computing, smartphones, Internet of things, automotive, and digital consumer electronics.

Direct exposure to leading-edge wafers as a core bottleneck; structural demand from AI accelerators.

NVIDIA Corporation operates as a data center scale AI infrastructure company.

Primary accelerator ecosystem beneficiary of hyperscaler/AI lab spend; supported by ongoing capacity buildout.

Microsoft Corporation develops and supports software, services, devices, and solutions worldwide.

Likely continued AI-driven cloud/service demand, offset by capex arms-race dynamics.

Amazon.com, Inc.

AWS participates heavily in AI infra; upside tied to AI service monetization vs spend.

Clay’s CEO Thinks Differently About Everything In this episode of Invest Like The Best, Patrick O'Shaughnessy sits down with Kareem Amin, co-founder and CEO of Clay. Kareem shares his unconventional philosophy on building a highly successful software company by creating from a place of "wholeness" rather than "lack." They explore why true capitalism rewards genuine risk-taking, the value of courage, and the importance of optimizing for self-respect above all else. Kareem dives deep into how lessons from non-dual meditation, music theory, and magicians heavily influence his approach to product development, hiring, and scaling Clay. From debating the necessity of a grand vision to introducing the concept of a "death doula" for companies that have achieved their purpose, Kareem offers a refreshingly profound perspective on ambition, wealth, and leading a meaningful life in business. #KareemAmin #Clay #InvestLikeTheBest #Startups #Entrepreneurship #SaaS #Leadership #Founders #TechStartups #BusinessGrowth Timestamps 0:00 Giving the Power of Programming to Everyone 8:55 Courage, Truth & Justice 9:16 Capitalism & Risks 19:18 Creating from Wholeness 25:19 The 10-Day Silent Retreat 35:23 Re

Podcast-style discussion arguing the AI boom is early in its S-curve, with “code” as an initial killer app, major implications for software economics, and a “hardware renaissance” (compute/networking/semis). Mentions Whale Rock conviction-building and Anthropic (private) as an example, but provides few concrete company-specific catalysts in the text provided.

Uber CEO on AI, Autonomous Vehicles, and the Future of Transportation Dara Khosrowshahi, CEO of Uber, joins Invest Like the Best to discuss Uber’s next chapter: the rise of AI, autonomous vehicles, robotaxis, drones, delivery, and the company’s ambition to become the demand aggregator for the physical world. He explains why Uber is a supply-led marketplace, how the company is partnering across the AV ecosystem, what AI is already changing inside Uber, and why he believes autonomous transportation could unlock another trillion-dollar market. Dara also shares lessons from rebuilding Uber through chaos, leading with transparency, learning from Barry Diller and Reed Hastings, and staying open to the “troublemakers” who help companies evolve. TIMESTAMPS 0:00 Intro 3:44 Bringing Order to Uber’s Chaos 7:22 Managing Stress, Immigrant Drive, and Going All In 14:28 Why Uber Is at the Center of AI and the Physical World 22:39 How Uber Plans to Win in Autonomous Vehicles 32:25 The Trillion-Dollar AV Opportunity 37:05 Drones, Robotaxis, and Global Adoption 38:20 Uber Eats, Uber One, and Aggregating Supply 47:00 Hotels, Travel, Marketing, and the Future of the Uber App 55:55 Lessons from Barry D

Podcast description of Dan Loeb (Third Point) discussing his evolution from event-driven credit to broader thematic investing, with emphasis on AI, semiconductors, energy, corporate governance/activism, lessons from FTX, admiration for Danaher’s operating system, and use of reinsurance as a growth lever. The source is high-level and light on specific, time-bound trade catalysts; actionable exposure is mostly thematic (AI/semis/energy/quality operators) rather than single-name event setups.

The provided source contains only a title and repeated body text with no substantive details, data, or claims about Iran, China, AI warfare, policies, companies, contracts, sanctions, or timelines. As a result, it is not actionable for market or ticker-level trading inference.

Podcast summary about AI infrastructure boom focused on the binding constraints of compute buildout (“watts and wafers”), with discussion of TSMC’s manufacturing dominance, hyperscaler competition (Google/Meta/Amazon/Microsoft), chip design landscape, weak/uncertain AI application-layer economics, and longer-run AI impacts (biotech) plus geopolitical/AGI risk. Tradable implications are mostly second-order (capex cycle beneficiaries, power/semicap supply chain, hyperscaler relative winners).