The AI productivity paradox: Why feeling faster isn't the same as going faster

Most organizations facing growing software demand reach for the same solution: hire more engineers. But headcount alone creates complexity, slows delivery, and erodes reliability. There is a better path.
In this keynote, Trading Technologies and ClearRoute share the story of a different approach - one that focuses on making existing engineering teams dramatically more effective. By treating the software engineer as the customer, TT is rebuilding its engineering system around better platforms, improved developer experience, and streamlined ways of working. This talk also confronts a timely challenge: AI is widely seen as the shortcut to faster delivery, but the evidence is more nuanced. Productivity perception and actual delivery performance are not the same thing. Real gains require the right foundations. Platform principles unlock delivery velocity.

Attendees will leave with a practical, evidence-backed perspective on how platform engineering, developer experience, and operating model changes unlock sustainable performance - and why getting these foundations right is the essential first step before AI can deliver on its promise.