Autonomous Finance: Building the Risk, Data and Execution Layer for Digital Assets

Описание: In this session, Omer Goldberg, CEO & Co-Founder of Chaos Labs, explores what it takes to build autonomous financial systems that can operate in high-stakes digital asset markets. The discussion covers AI agents, risk management, data infrastructure, execution systems, real-time decision-making, evaluation frameworks, and the limitations of frontier models. Learn why autonomous finance requires more than chatbots, how institutions can safely deploy AI in production, and what must happen before AI becomes a trusted layer of financial infrastructure.

Chapters

00:00 Introduction & The Mission Behind Chaos Labs
00:45 From On-Chain Risk Management to AI Infrastructure
01:52 Why Finance Is an Optimization Problem
04:01 The Limits of Language Models in Production Finance
06:06 Why Enterprise AI Is Different from Consumer AI
07:23 Why Chatbots Break Down in Financial Markets
08:50 Real-Time Data, Knowledge Cutoffs & Decision Quality
10:07 Building AI Systems Beyond Large Language Models
12:12 Where Frontier Models Still Fail Today
13:08 Compute Constraints, Latency & Infrastructure Bottlenecks
15:50 What Autonomous Finance Actually Means
16:12 AI Wealth Managers & Portfolio Orchestration
18:32 Why Digital Asset Markets Are AI’s Hardest Test
19:07 Security, Adversaries & Operating in Hard Mode
21:02 When Should Institutions Trust AI?
22:07 Practical Advice for AI Adoption in Finance
23:36 Autonomous Finance: Demo or Real Infrastructure?
25:57 Measuring Trust, Reliability & Performance
28:00 The Future Stack of Autonomous Finance
29:00 Evaluation Frameworks as the Missing Layer
29:46 Regulation, Accountability & Agentic Finance

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