Alpha Comes From a Differentiated View - Ex-Point72 Prop Research Head Kirk McKeown on Edge in 2026

Check out Carbon Arc here: https://www.carbonarc.co/ Get access to every episode 12 hours before YouTube by subscribing for free on Spotify - https://open.spotify.com/show/0hQrPxi... or Apple Podcasts - https://podcasts.apple.com/us/podcast... Kirk McKeown, founder and CEO of Carbon Arc and former senior investor-facing operator across Glenview and Point72, on how alpha migrates as market structure, tooling, and competition evolve. What most investors misunderstand about “edge” is that it is rarely static and often lives in process design, information capture, and interpretation of small narrative inflections. Why hit-rate systems, decision trees, and data structure matter now as models commoditize and the marginal advantage shifts toward differentiated inputs and synthesis. Kirk started his career at Tudor Investments during the late-1990s cycle, then worked at Glenview Capital under Larry Robbins where he built and led primary research capabilities supporting a concentrated, long-horizon portfolio process. He later spent 8.5 years at Point72 supporting a multi-manager environment optimized around catalyst-driven, variant-view investing, high at-bat volume, and repeatable organizational process. Across these seats, he worked directly with investment teams on improving idea generation, hit-rate, and conviction through compliant information collection, supply chain and value chain work, and rigorous feedback loops. In this episode we cover: Why alpha “moves” over time and how competitive advantage migrates with market structure and tooling Hit-rate vs slugging frameworks across concentrated portfolios and multi-manager platforms A research function’s only mandate: lift idea flow, hit-rate, or conviction without contaminating decision-making Building edge via compounding domain knowledge, field research, and leading indicators before consensus data prints “Main Street becomes Wall Street”: model-driven decisioning, data decimalization, and pricing data like a utility Inventory as the core causal variable behind boom-bust cycles in fundamentals and supply chains Factor frameworks as a scaling mechanism for research: market structure, business model, and decision-tree priors Timestamps: 00:00 Intro 04:47 Tutor vs Glenview vs Point72: how edge differs 12:29 How to build “lift” for PMs: at-bats, hit-rate, sizing 18:44 Building research edge: outwork, read, fieldwork 27:16 Personal moat in 2026: analogs, history, decision trees 40:08 “Main Street becomes Wall Street”: what that actually means 44:30 Carbon Arc thesis: “decimalization” of data market structure 46:43 Why the edge migrates to data plus domain context 51:00 How to win in commoditized research: sample size beats anecdotes 01:03:26 Factorizing everything: themes, market structure, business models 01:08:37 Pruning decision trees: signals, scale points, inventory dynamics 01:14:18 Contrarian 2026 take: hedge funds launching enterprise AI labs 01:23:32 Final question: one habit to build career alpha Follow Kirk McKeown: LinkedIn – LinkedIn: kirk-mckeown-400607214