By learning how to do my job with AI, am I going to make my role redundant?

Delivered by Anders Reagan

Audience Exposure Level: Open to all

AI lets us do in hours what used to take weeks. But when we 10x our productivity — where does the surplus go?

This session examines the downstream effects of radical productivity increases enabled by AI. We’ll explore what’s actually being compressed (time, labour, cognition), what becomes newly possible (strategic depth, iteration, experimentation), and what risks emerge (misalignment, overproduction, burnout, job dislocation).

Participants will reflect on how their time is used, how value is created in their roles, and what it means to retain authorship over their work when output is no longer constrained by effort.

Objectives/Learning Outcomes

By the end of this session, participants will be able to:

1. Articulate what’s being displaced when productivity increases (labour, expertise, reflection, gatekeeping).
2. Identify where the “AI productivity dividend” is going in their own role or institution — and who’s capturing it.
3. Distinguish between speed and value, and reflect on when acceleration actually undermines outcomes.
4. Recognise emerging risks like feedback collapse, shallow iteration, or strategic drift.
5. Redesign workflows or project scopes to reinvest saved time into deeper thinking, better design, or more inclusive collaboration.
6. Build a practice of active reinvestment, rather than passive acceleration — deciding where to slow down and why.