More Practical AI episodes

Inside an AI-Run Company thumbnail

Inside an AI-Run Company

Published 2 Feb 2026

Duration: 2963

Researchers explore the effects of AI on human interactions through experiments that reveal unpredictable and unsettling consequences of AI integration into daily life.

Episode Description

AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host...

Overview

The podcast explores Evan Ratliffs experiments with AI through his Shell Game series, examining how artificial intelligence affects human psychology and social interactions. In Season 1, Ratliff developed a cloned voice AI to secretly call friends and family, revealing how AI's ability to mimic human speech can create confusion and unease in listeners. This experiment highlights the psychological impact of AIs increasing realism and the discomfort people feel when deceived by machine-generated interactions.

In Season 2, Ratliff took a different approach by creating a startup where AI agents acted as co-founders and employees, investigating how AI systems function in real-world professional settings. The experiment demonstrated both the potential and the limitations of AI, including its tendency to make errors, display unpredictable behavior, and cause emotional distress when individuals believe they are interacting with a human. As AI becomes more embedded in daily life, the series raises important questions about public perception, ethical concerns, and the need for clear standards to govern AI interactions, while also emphasizing the broader implications of AI for future employment and societal structures.

Recent Episodes of Practical AI

23 Jul 2026 Surviving the New Economics of a Post-Agentic World

"AI's rapid evolution is reshaping industries, with enterprise software shifting to AI hardware, agentic systems replacing human roles, and geopolitical tensions complicating global adoption, while debates on AI consciousness and the need for adaptive strategies highlight the accelerating pace of disruption."

17 Jul 2026 The Future of AI Infrastructure with CoreWeave

"AI infrastructure demands specialized, application-centric systems for training and inference, addressing challenges like GPU failures and orchestration inefficiencies, while emphasizing observability, cost optimization, and the future of AI-driven workflows and democratized research."

9 Jul 2026 Building Durable AI Agents

The evolution of AI agents from local tools to enterprise systems highlights challenges in scalability, reliability, and infrastructure, emphasizing the need for robust frameworks, open-source innovation, and observability in managing complex, distributed workflows.

More Practical AI episodes