Ghost in the Machine

Episode 13 starts with three questions people are already asking without the hype.

What should a community demand before approving a data center? What should a leader do when employees use unsanctioned AI? And where should a nontechnical executive start if they want more than basic prompting?

Andrew argues that data-center developers should carry the cost they create, with enforceable protections for residents instead of vague promises. On workplace AI, he makes the episode's sharpest claim: if employees are working outside policy, leadership probably failed to give them a safe and useful path. Liz offers the perfect test. When everyone cuts a footpath through the grass, the official sidewalk is in the wrong place.

The practical close is simple. Start small. Pick one repetitive task. Explain the work as carefully as you would to a new employee. Correct the system when it misses, and let the workflow improve over time.

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.