Algorithms can react in microseconds, process vast amounts of data and execute thousands of trades at a scale no human could match. But can they sense when the market regime is changing? And can AI ever replicate the intuition of an experienced trader?
In this episode of the 360T Podcast, FX industry veteran Stephen Flanagan explores the evolving relationship between human judgment and automation in modern FX trading. With a career spanning more than four decades — including as Executive Director and Global FX e-Commerce Risk Manager at J.P. Morgan — Flanagan has witnessed the market’s transformation from human-led trading to sophisticated automation firsthand.
He examines whether trader intuition is simply data we haven’t learned to measure yet, why algorithms can struggle when familiar market patterns suddenly break, and how both humans and machines can be vulnerable to bias.
For Flanagan, the future isn’t about choosing between humans and machines. It’s about harnessing the strengths of both. Algorithms bring speed, scale and disciplined execution; humans bring contextual judgment, regime awareness and oversight. The key is building the right “harness” around increasingly powerful technology — allowing machines to do what they do best while keeping human experience firmly in the loop.
A fascinating conversation about AI, trader intuition and why the future of FX trading may depend less on choosing between humans and machines, and more on learning how to make them work together.
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