The agentic transformation isn’t coming. It has already begun.

Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.

In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match?

This isn’t another conversation about whether AI will take your job. It’s about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true.

The post-agentic world is already taking shape.

The question is whether you’re preparing for it — or becoming part of what it replaces.

Featuring:

• Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
• Daniel Whitenack – Website, GitHub, X

Links:

• Is IBM a Canary in the Tech Coal Mine?
• Verbalizable Representations Form a Global Workspace in Language Models

Upcoming Events:

• Register for upcoming webinars here!
• Midwest AI Summit 2026

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps.

Featuring:

• Corey Sanders – LinkedIn
• Chris Benson – Website, LinkedIn, Bluesky, GitHub, X

Links:

• CoreWeave

Sponsors:

• Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai

Upcoming Events:

• Register for upcoming webinars here!
• Midwest AI Summit 2026

What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems. The conversation dives into open source tools, production challenges, and how ZenML's new project, Kitaru, helps developers build resilient, replayable, and observable agent systems.

Featuring:

• Hamza Tahir – LinkedIn
• Daniel Whitenack – Website, GitHub, X

Links:

• ZenML
• Kitaru
• Machine Learning Tools Landscape v2 (+84 new tools)

Sponsors:

• Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai

Upcoming Events:

• Register for upcoming webinars here!
• Midwest AI Summit 2026