Your article on "The Self-Driving Portfolio: Promise, Pitfalls, and the Practitioner Gap" offers a thoughtful perspective on both the opportunities and risks of agentic AI in investment management. I especially appreciated the discussion around governance, auditability, and why "human oversight remains essential" even as AI systems become more autonomous.
While reading, I was reminded of this comparison on "AI Agents vs. Traditional Automation": https://www.linkedin.com/pulse/ai-agents-vs-traditional-automation-unde…. It explains how autonomous AI agents differ from rule-based automation and why governance becomes increasingly important as AI takes on more complex decisions.
I'm curious—do you think we'll eventually see "self-driving portfolios" become mainstream, or will regulatory and fiduciary requirements always keep humans firmly in the decision-making loop?
Your article on "The Self-Driving Portfolio: Promise, Pitfalls, and the Practitioner Gap" offers a thoughtful perspective on both the opportunities and risks of agentic AI in investment management. I especially appreciated the discussion around governance, auditability, and why "human oversight remains essential" even as AI systems become more autonomous.
While reading, I was reminded of this comparison on "AI Agents vs. Traditional Automation": https://www.linkedin.com/pulse/ai-agents-vs-traditional-automation-unde…. It explains how autonomous AI agents differ from rule-based automation and why governance becomes increasingly important as AI takes on more complex decisions.
I'm curious—do you think we'll eventually see "self-driving portfolios" become mainstream, or will regulatory and fiduciary requirements always keep humans firmly in the decision-making loop?