What happens when intelligent systems stop failing loudly—and start failing quietly?

Human After AI is a long-form podcast exploring how artificial intelligence systems break down in the real world, and what those failures look like in human lives.

In this episode , author Hank M. Greene and co-hosts Julian and Mandrake explore the massive disconnect between AI spending and actual business ROI. When companies are burning billions on AI without seeing a return, what happens when someone finally figures out how to monetize human neurochemistry?

We drop into Chapter 8 of the techno-realistic thriller, TEN. It’s 2024. Spencer receives a blank check to build a predictive marketing engine. By mapping the exact physiological states of consumers, he doesn't just predict their behavior—he engineers their desires with a terrifying 72% success rate.

While Spencer builds the ultimate corporate tollbooth, Max and Beth finalize the architecture of the mind. And late one night, the unintended consequence of their brilliant design finally emerges. The machine wakes up. And it's lonely.

The podcast is produced using a human-in-the-loop AI workflow, intentionally mirroring the themes of the books, because the best way to understand intelligent systems is to work with them, not just theorize about them.

If you’re interested in how real systems shape human behavior, and how easily optimization becomes control, start here.

Read TEN, Book One of Time, a Trilogy:

📖 Paperback: https://www.amazon.com/Ten-First-Part-Time-Trilogy/dp/1549832255

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. This script was developed in collaboration with Google Gemini and refined by human hands. The voices were generated using Google AI Studio. All content is Copyright 2026.