Podcast: Experts in the Loop
Episode: She Replaced Her Analysts With AI and Beat the Market
Pub date: 2026-05-25

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Most fund managers find their best stock ideas by accident. Armina "Arms" Rosenberg built an AI that reads 30,000 articles a week so her fund doesn't have to rely on luck, and a human still makes the final call on every trade.
Armina is co-founder and portfolio manager of Minotaur Capital, an AI-led global equities fund she started with Thomas Rice, the rare fund manager who can also code (he built their AI system, Taurient). Before Minotaur, Armina spent eight years in sell-side research at JP Morgan and ran the global equities portfolio for Atlassian co-founder Mike Cannon-Brookes' family office, Grok Ventures.

This one is a proper look inside a business that has put AI into every step of its process, with experienced investors shaping the system rather than handing it the keys.

About the guest:
Armina "Arms" Rosenberg, Co-founder and Portfolio Manager, Minotaur Capital
minotaurcapital.com

About the show:
Experts in the Loop is a podcast about how real experts put AI to work. The actual builds, the trade-offs, the workflows, no hype.
Subscribe so you don't miss the next one.

In this episode:
- How Minotaur Capital scans 30,000+ articles a week across 174 sources to spot companies going through real structural change
- Why Minotaur keeps a human in the loop at every decision gate, and how the AI learns the way they think
- The research that used to take an analyst 5 days, now done in 2 minutes
- The three mistakes most people make with AI: treating it as an oracle, trusting one model, and skipping source documents
- Why you should treat AI like a junior analyst, not a portfolio manager
- The "SaaS apocalypse" debate: what software agents will use, and what they will replace
- Where Minotaur sees the real opportunity: AI infrastructure and the memory thesis
- How they run 20+ models and route cheap versus expensive to control cost
- How to actually start building, from Codex agents to Claude Skills (and why you should never buy a skill)

Chapters:
00:00 The AI fund that reads 30,000 articles a week
02:33 From public housing to global equities
04:35 JP Morgan, a family office, and the Mike Cannon-Brookes story
09:20 Why finance was an early home for AI
12:29 Inside Minotaur: the Axon stock they almost missed
15:03 Taurient: 30,000 articles and idea triage
18:36 A human in the loop at every decision gate
21:28 "AI won't fix a bad fund manager"
23:41 The mistakes people make with AI
25:42 The hallucination double standard
28:38 Build your AI a brain
30:34 The "SaaS apocalypse" and a 40% short
34:07 Will agents replace software, or use it?
36:20 The memory thesis: betting on AI infrastructure
39:39 Hyperscaler spend and the real cost of AI
41:20 How to adopt AI: ask better questions
43:18 Running 20+ models and managing cost
46:46 Where to start, and Claude Skills (don't buy them)
50:39 Prepping for talks, and opening for SoftBank
52:36 Making active funds great again

Website: eitl.show

If this was useful, hit subscribe and tell us in the comments which part of Armina's workflow you'd build first.

Keywords: AI in finance, AI hedge fund, AI investing, agentic AI, AI agents, large language models, AI workflow, human in the loop, fund management, build vs buy, SaaS and AI, AI infrastructure, Claude, Codex, Claude Skills, Minotaur Capital, Armina Rosenberg

#AI #ArtificialIntelligence #AIagents #Investing #FundManagement #FinTech #LLM #AIworkflow #ExpertsInTheLoop #BuildWithAI

Other Links
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SHOWNOTE LINKS
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