In this episode of Me, Myself, and AI, Casey B takes a clear-eyed look at Universal Basic Income (UBI), not as a theory, but as a real policy idea tested in real places with real people.

Drawing on evidence from Ireland, Finland, Manitoba, Alaska, Ontario, and Canada’s COVID response, the episode breaks down what actually happens when people are guaranteed a basic income floor. The data consistently shows improvements in mental health, stability, and well-being, without large-scale withdrawal from work.

Rather than arguing for a one-size-fits-all cheque, the episode explores a more realistic model: updating ineffective and punitive income assistance programs into a guaranteed minimum income or top-up system, while keeping critical supports like disability in place. The focus is on reducing bureaucracy, removing fear and instability, and allowing people to work and earn on top of a stable income floor.

The episode also tackles common fears head-on government control, fairness, cost, and and reframes the conversation around system design, incentives, and how people actually behave in real life.

The central question isn’t whether people deserve support, but whether we’re willing to redesign systems that repeatedly fail to produce stability, health, or opportunity.