Manuel Ritsch: AI, Asset Management, and the Business of Funds | Blushing Quants #19

Manuel Ritsch is the founder of Alpha Rho Technologies, where he is building AI-native investment infrastructure for asset management. After seeing how much of the industry still relied on outdated tools and manual processes, he set out to replicate the work of human analysts with AI and turn that into a real operating model for funds.

In this episode, we step slightly outside pure quant research to explore what it actually takes to build an AI-driven investment business from the ground up.

We talk about the gap between traditional asset managers and newer AI-native approaches, why low-frequency investing may be one of the clearest use cases for agentic systems, and how Manuel structured a fund run by AI analysts, CIOs, and investment committees. We also get into go-to-market, fundraising, bank partnerships, product positioning, client education, and the hard reality that institutional investors still want a track record, transparency, and a process they can trust. Manuel also explains why explainability matters so much in asset management, why models themselves are becoming commodities, and why the real edge increasingly comes from orchestration, usage, and product design rather than just model access.

 

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