As 2025 draws to a close, Robb and Josh look back on some of the conversations they had this year both on the podcast and advising major enterprises and government leaders to offer their predictions for agentic AI in 2026. With major disruptive forces like outbound AI in the hands of consumers and agent runtime environments allowing organizations to create scalable infrastructure for AI agents, next year could see seismic changes in the way investors look at companies, and the ways companies look at themselves. Featuring a look at the components of an agent runtime, as well as previews of upcoming episodes with returning guest Ben Goertzel of SingularityNET and Joshua Gans, co-author of Prediction Machines, this episode is required viewing for anyone charged with finding ROI with agentic AI.

00:00 – Introduction to 2026 Agentic AI Predictions

01:12 – Outbound AI Arrives

02:30 – Scaling vs. Inventing AI

04:55 – Ben Goertzel Preview

06:45 – Scrappy Innovation in AI

08:20 – Invisible Work Explained

10:00 – Agents Job-Hunting for You

11:15 – Bottom-Up AI Adoption

13:10 – Layoffs, Knowledge Loss & AI

15:00 – The “Fake AI Expert” Problem

16:25 – Why Runtimes Matter

18:00 – What IDWs Actually Do

20:00 – Canonical Knowledge for Agents

28:20 – Invisible Work Demo

37:10 – Simulation Becomes the Next Frontier

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---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5

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5 Predictions for Agentic AI in 2026 | Invisible Machines Podcast S6E11

Invisible Machines podcast by UX Magazine