Research

The State of AI Alpha AIMI, the AI Maturity Index SPEC Research Catalog

Tools

The SPEC Test SPEC Process Diagnostic SPEC Readiness SPEC Manager Assessment

About

About Speaking Case Studies Maximand Insights All work Work With Me

Milos Maricic

AI Strategy Advisor for Institutional Allocators

Milos Maricic is Principal of SPEC Research in Geneva, working with sovereign wealth funds, central banks, and pension funds across global institutional markets. He specialises in helping institutional allocators navigate AI's impact on investment management, from manager evaluation and portfolio construction to governance and regulatory strategy.

His work spans manager selection and due diligence, portfolio construction with AI integration, AI governance and board oversight, and strategic advisory on the geopolitical dimensions of AI development. He is the creator of the SPEC Test, published by CFA Institute across a four-part series on quantitative due diligence, which provides allocators with a structured approach to evaluating whether quantitative models are built on genuine economic relationships or statistical accident. He also created AIMI, the AI Maturity Index, which assesses 53 of the world's largest sovereign wealth and pension funds on AI capability.

He founded Maximand, an advisory for institutions with large and growing generative-AI bills. His research on what companies actually earn from AI, drawn from 919 earnings calls across the 60 largest US-listed financial firms, was reported by Bloomberg in August 2026.

Milos Maricic serves as an AI Expert for the OECD and the World Economic Forum, and co-edited The Routledge Handbook of Artificial Intelligence and Philanthropy with Dr Giuseppe Ugazio of the University of Geneva. As a hands-on practitioner, he has ranked in the top 5% of Numerai's global leaderboard, a live, competitive platform where quantitative researchers test models against real market data.

He has served as CEO of Altruist League, overseeing the company's successful sale to a sovereign wealth fund.

His academic background spans artificial intelligence (LSE) and finance (NYU Stern, Harvard Business School).

I speak at leadership events, financial conferences, and closed-door board sessions on AI in investing, smart risk, and reinvention. Keynote topics, formats, and booking are on the speaking page.

Speaking topics and booking