- Investing in AI Interviews: Ash Ashutosh, CEO at Pinecone↗ 29 Sept 2026
Interview with Pinecone CEO on the company's evolution from vector database to agentic knowledge platform and the future of agent knowledge management.
- Should Investors Be Concerned About The Recent AI Safety Incidents?↗ 27 Sept 2026
Recent AI safety incidents raise questions about existential risk, but the author argues doomsday scenarios rest on unvalidated assumptions—multiple competing AIs, controllable systems, and deployment harnesses suggest AI risk, while real, is overplayed; investors should not be overly concerned.
- The 2028 Handoff: Silicon Motion’s (SIMO) Bear Case and Bull Case Arrive in the Same Year↗ 24 Sept 2026
Silicon Motion, a memory controller chip maker riding AI-driven NAND shortages, faces a 2028 inflection when new fab capacity comes online—marking either a cyclical peak (bear case) or a transition to higher-margin controller-only businesses (bull case). The stock's 30% discount to highs reflects this uncertainty.
- The Owning Phase of AI Part 3: Companies To Research↗ 20 Sept 2026
Eight public companies positioned to build proprietary AI models as small models and open-source alternatives make internal ownership economically viable—watch S&P Global, Meta, Adobe, Thomson Reuters, Axon, Deere, Relx, and IQVIA for signs they're moving from API reliance to model ownership.
- Stress Testing Anthropic’s Revenue Pre-IPO↗ 17 Sept 2026
A stress-test analysis of Anthropic's revenue trajectory pre-IPO, arguing the company faces a duration-mismatch risk—heavy upfront infrastructure costs betting on $190-200B revenue by 2028—where a 30%+ revenue shortfall would force costly renegotiation rather than near-term solvency collapse.
- Investing in AI The Book, Is Live. Here Is Your Free Copy↗ 15 Sept 2026
Announcement of a new book on AI investing for general investors, with free access for newsletter subscribers and a request for reviews and media introductions.
- The Owning Phase of AI Part 2: When Do The Economics Make Sense↗ 13 Sept 2026
AI companies face a critical economics choice: renting API inference at scale erodes margins via super-linear token costs, while owning and distilling models into fine-tuned assets flips the structure to predictable, depreciating costs and defensible moats. The framework clarifies when ownership's upfront investment pays off.
- Nebius: A Software Company With A Data Center Attached↗ 10 Sept 2026
Nebius is shifting from a capital-intensive data center operator to an asset-light software platform company, partnering with external providers to finance infrastructure while Nebius focuses on software, customer relationships, and AI services—a model that could reshape its business model and valuation.
- Reader Submission: A Deeper Dive on Dell↗ 9 Sept 2026
Dell's AI server dominance generates revenue without proportional margin because it assembles around scarce accelerator silicon owned by others; the investment question is whether Dell can own the next binding constraint (power, cooling, or orchestration) before specialists claim it.
- The “Owning” Phase of AI Part 1: What Investors Should Look For In Companies Making Their Own Models.↗ 6 Sept 2026
Companies are shifting from renting frontier AI models to building their own; investors should identify targets with proprietary data, API-cost tipping points, high-stakes domains, workflow capture, and data sovereignty needs—not just model announcements.
- The AI Boom And Dell: Can The Company Capture More AI Value?↗ 3 Sept 2026
Dell is capturing AI server revenue at scale ($60B expected FY27), but most margin flows to GPU/chip makers; the real question is whether Dell can leverage these deployments into higher-margin services, storage, and financing to convert volume into durable profit.
- How To Think About The Negative ROI on AI Investment↗ 30 Aug 2026
Most AI investments show negative ROI today not because the technology is broken, but because pricing reflected a lottery-ticket bet on AGI rather than underwriting actual business use cases. As compute costs collapse via cheaper chips, smaller models, and better infrastructure, many 2025 failures will pencil out profitably by 2027 without changing anything but the bill.
- Flex Ltd: Will Power Be The New Silicon?↗ 26 Aug 2026
Flex Ltd. argues that AI infrastructure's bottleneck is shifting from silicon to power delivery—a contrarian bet that could reshape which vendors win in the AI buildout.
- The Speed of Thought: What If Intelligence Has a Universal Limit?↗ 23 Aug 2026
If intelligence has a physical ceiling like other universal quantities, and humans are already near it, then AGI promises are overblown—and hard problems like climate and aging remain ours to solve through policy and iteration, not superintelligence.
- My Brief Interview With Paddy Srinivasan, CEO of DigitalOcean, On Their AI Growth↗ 19 Aug 2026
A video interview series debut featuring DigitalOcean's CEO discussing the company's AI strategy, GPU infrastructure positioning, and how it competes against hyperscalers in mid-market inference and agentic workloads.
- Is There An Inference Glut Coming?↗ 16 Aug 2026
Analysis of whether AI inference demand will outpace datacenter supply through 2028. The author argues a glut is unlikely but possible, mapping supply/demand dynamics, efficiency gains, and the key monitorables that would signal a shift.
- Constellation Energy (CEG): The Contract Layer of The AI Buildout.↗ 11 Aug 2026
Constellation Energy's Q2 2026 contracted nuclear capacity signals the AI power crunch moving from accelerators down to electricity as the binding constraint; the bull case hinges on contracted, inflation-linked earnings deserving premium valuations, while bears worry execution risk on 2029 start dates and regulatory uncertainty.
- World Models And The Companies That May Win This New Space↗ 9 Aug 2026
World models—AI systems that understand 3D space, physics, and causality—represent the next multi-trillion-dollar frontier, shifting AI from text to physical labor. The piece analyzes competing architectures (generative vs. predictive latent) and positions NVIDIA, Alphabet, Tesla, Meta, and Apple as dominant players across infrastructure, data, robotics, and edge layers.
- A Strategic Analysis: Neoclouds vs Hyperscalers And The Future of Inference↗ 2 Aug 2026
Neoclouds are winning in AI inference on speed and cost today, but face existential threats from hyperscaler consolidation and custom silicon unless they move up the stack into software and managed services.
- Guest Post: The Trillion Dollar Trade Wall Street Is Ignoring 26 Jul 2026
- Coherent: The Optical Plumber Of The AI Buildout 24 Jul 2026
- Chapter 5 of My Investing in AI Book: Expect Market Dislocations 19 Jul 2026
- Memory Is The Real Bottleneck and Micron Seems To Own It For Now 15 Jul 2026
- The CEO's Field Guide To Strategy In An Era of AI Tokenomics 12 Jul 2026
- Recursion Pharmeceuticals (RXRX): Can AI Turn Biology Into An Operating System? 10 Jul 2026
- The New Whitespace in AI 5 Jul 2026
- An AI Tokenomics Framework For Investors To Use To Evaluate AI Efficiency At A Company 28 Jun 2026
- TSMC: The Hidden Toll Booth of the AI Boom 24 Jun 2026
- Chapter 3 of My Investing In AI Book: The First Mental Model You Need 21 Jun 2026
- Everything A Tech Executive Should Know About Harness Engineering 14 Jun 2026