Live in the future, then build what's missing
The article analyzes how generative AI is reshaping enterprise software into AI‑as‑Labor, expands TAM, outlines moat considerations, and presents a greenfield GTM playbook that helps inexperienced founders avoid super‑star traps and build fast‑iterating, high‑margin AI‑native products.
The article analyzes how generative AI workloads are reshaping the storage market into a multi‑year Memory Supercycle, detailing demand spikes from Mid‑Training checkpoints, synthetic data, KV‑Cache offload and multimodal video models, while supply is strained by HBM production and geopolitical factors.
OpenEvidence’s rapid rise in high‑risk medical AI stems from a trust‑focused system that combines free, evidence‑rich tools, expert‑in‑the‑loop data pipelines, adaptive retrieval, meta‑prompting, and a self‑correcting loop, turning clinicians into empowered research partners while building a defensible commercial moat.
The article offers a comprehensive analysis of IREN's shift from Bitcoin mining to AI cloud services, detailing its dual‑engine business model, vertical integration advantages, ambitious 2025‑2028 roadmap, and the key supply‑chain, regulatory, execution, financial, and competitive risks it faces.
Jason Wei’s Stanford AI Club talk outlines three analytical ideas—Intelligence as a Commodity, Verifier's Law, and the Jagged Edge of Intelligence—to help businesses rationally assess AI’s economic shape, verification dynamics, and uneven performance across tasks.
Intercom reversed a year of strategic, financial, and cultural stagnation by launching a founder‑led “Founder Mode”, concentrating on AI, building an elite AI pioneer team and fast‑execution squads, launching the Fin AI Agent with outcome‑based pricing, and reshaping its competitive positioning.
The article analyzes OpenAI's DevDay 2025 announcements—especially the Apps SDK—and argues that the new AI‑native distribution model flips the traditional app paradigm, turning ChatGPT into a massive intent‑aggregation platform that will reshape competition with Apple, Google, and emerging AI browsers.
The article analyzes Epoch AI's token‑based framework for estimating AI‑generated digital workers, critiques its static assumptions, and proposes a dynamic, multi‑factor model that incorporates compute supply, hardware constraints, inference efficiency, task reliability, and economic value to forecast a wide range of possible future digital‑worker counts.
The article dissects Jensen Huang’s BG2 interview to explain Nvidia’s shift from a pure GPU supplier to an AI‑Factory architect, detailing the double‑exponential AI demand growth, token‑based economics, technical and ecosystem moats, sovereign AI initiatives, open‑link strategies, and the long‑term vision of physical AI.
The article analyzes how Chrome AI Mode leverages Google’s browser dominance, massive user base, and vertically integrated AI stack to become the default AI layer, create an unbeatable data‑flywheel, and reshape the competitive and antitrust landscape of the AI era.
