How are leading institutions actually using AI—and where are they allocating capital across the AI stack? In this Global Alts Asia session, experts from Albourne, R.G. Niederhoffer, and Proem Advisors get practical on what works today, what to avoid, and how to separate durable opportunity from hype.
Moderator:
Dylan Loh, Singapore Correspondent, Nikkei Asia
Panelists:
Dr. John Claisse, CEO, Albourne
Dan Gelernter, Director, AI, R. G. Niederhoffer Capital Management
Imran Khan, CIO, Proem Advisors
💡 Key discussion points:
- Where AI is truly improving the investment process (research, due diligence, ops) vs. where human judgment must lead (risk, final decisions)
- The limits of black-box approaches and why “AI as optimizer,” not decision-maker, is safer for institutional mandates
- Building resilient processes: governance, data security, hallucination control, and the “expert-in-the-loop” model
- The AI investable landscape: chips, data centers, power, and “AI arbitrage” (distribution + data + technical talent)
- Public vs. private market dynamics, valuation risk, and why productivity gains must justify the capex wave
- Using AI for productivity at the PM level—signal triage, monitoring, and back-office efficiency without eroding edge
Straight talk on adoption, alpha, and accountability—plus a framework to evaluate AI exposures without getting caught in the crowd.
📍 Filmed live at Global Alts Asia — presented by iConnections.
