Episode 14: Andrew DeGood and Liz Short on Why AI Efficiency Is Not the Goal

Andrew turns the questions on Liz in Episode 14. What makes her suspicious when a company says it uses AI? Which decisions should stay human? What recent tools have earned a place in her work?

The answers expose a bigger problem. Leaders announce an AI mandate before naming the work that needs to improve. Technology teams design around executives instead of the people clicking, uploading, reviewing, and fixing the process every day. Vendors chase visible automation while employees become the permanent workaround.

The Turn comes when Liz draws a boundary around human relationships and Andrew pushes into AI voice dialers. Activity does not guarantee value. A system that makes more calls, creates more frustration, or damages trust is not efficient. It is expensive motion.

The practical test: start with the problem, bring the end user into the room, understand the process, then decide whether AI belongs there at all today.

What is Ghost in the Machine?

The AI conversation, without the noise.

Every week, Andrew DeGood and Liz Short sit down for a thirty-minute conversation about artificial intelligence. Andrew comes in as the optimist, a founder building AI products and betting his career on where this technology is headed. Liz brings the harder questions, the ones about what we lose, what we risk, and what we owe the people who didn't sign up for any of this.

They bring in the people actually shaping the field. Researchers, founders, ethicists, skeptics, builders. Real conversations about real implications. No hype cycles. No doom loops. Just two smart people and a guest trying to figure out what this moment actually means.

New episodes stream live every Thursday. Available on every podcast platform after.