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Francis, a Harvard alum (class of 2020) and co-founder of Apers AI, returns to campus to share what he's seen at the frontier of AI adoption in institutional real estate investing. In this talk, Francis covers: — Why "autonomous financial institutions" are economically inevitable: capital flows to more efficient structures, and the 2/20 GP model carries massive operating leverage risk in a cyclical industry — What happens when you replace analyst labor with compute: lower operational costs, 24/7 processing, and boutique firms with $500M–$2B AUM running lean teams of 2–3 senior partners — A live demo of AI building a waterfall model from a legal LPA document in ~400 seconds — a task that used to take 4–6 hours as a junior analyst — Three implications for the industry: (1) GP firms are becoming protocols, not organizations, (2) alpha shifts toward proprietary access and parameter tuning, (3) the surviving analyst is either an "algorithmic auditor" or a relationship/creative deal specialist — The open fiduciary question: when an AI flags a deal and a human approves it, who's responsible when things go wrong? Francis closes with career advice for graduates entering finance in 2026 and why this year may be an inflection point in the 200-year history of capital markets. 🔗 Learn more about Apers: [your website URL] CHAPTERS: 0:00 – Intro & Background 0:35 – What is Apers? 1:30 – The GP Operating Leverage Problem 4:15 – Why Capital Flows to Efficiency 6:15 – Why Real Estate is Uniquely Automatable 9:55 – The Boutique Firm Trend 11:15 – 2026: What Now? (Live Demo) 15:05 – How Fast the Tech Has Evolved 16:09 – Key Moments & Human-in-the-Loop 17:00 – Implication 1: From Firms to Protocols 17:50 – Implication 2: The Future of Alpha 18:45 – Implication 3: The Surviving Analyst 19:15 – The Fiduciary Question 19:55 – Three Takeaways 20:45 – Closing: 2026 as Inflection Point