Ghost in the Machine

Employees are using AI at work. The question is whether leadership gives them safe tools, clear boundaries, and a reason to follow the rules.

IT infrastructure manager Jack Falvey joins Andrew DeGood and Liz Short to examine shadow AI, data exposure, coding governance, and the growing pressure on teams responsible for systems they do not fully control. Jack explains why users often arrive with a preferred technology before anyone has defined the problem. His answer is practical: understand the need, standardize what should be repeatable, test changes, and keep access narrower than the requested shortcut.

The conversation moves from GitHub Copilot and PowerShell to custom technology stacks and employee-built applications. The Turn looks five years ahead. When anyone can build software, governance cannot begin after deployment.

Better adoption requires more than buying a license. It requires leadership communication, usable approved tools, technical context, and accountability for what reaches production.

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.