Publisher's Synopsis
USA Today Bestseller
The Book That Saw 2027-In 2022. Now Sharpened for the Road Ahead.
Age of Invisible Machines quickly earned a reputation as a prophetic guide for technology and business leaders, offering a clear vision of what was coming just before it arrived. When the first edition launched in late 2022, few had seen the tidal wave of generative AI coming. But Robb Wilson and Josh Tyson had. Their predictions-including the pivotal role of large language models and conversational interfaces-soon became reality, helping thousands of readers understand, prepare for, and act on the AI shift already reshaping the world.
Now, the newly revised second edition pushes that vision forward-offering a 2027-level roadmap for software architects, enterprise architects, developers, product owners, and future-focused executives who are ready to build what's next.
This expanded edition introduces timely, practical guidance on:
- Harnessing generative AI in the software development lifecycle
- Building composable, agentic systems that scale
- Orchestrating intelligent agents across knowledge, process, and interface layers
Designed for architects of all kinds-enterprise, system, solution, and experience-this book distills decades of R&D, implementation, and design into a playbook for AI-native transformation.
You'll also find insights drawn from exclusive conversations on the Invisible Machines podcast with pioneers including:
- Cassie Kozyrkov (Google's first Chief Decision Scientist)
- Jaron Lanier (Microsoft OCTOPUS)
- Tom Gruber & Adam Cheyer (Siri co-creators)
- Cathy Pearl (UX Lead, Google Gemini)
- Jonathan Frankle (Chief AI Scientist, Databricks/Mosaic ML), Kara Swisher, Jim Webber (Chief Scientist, Neo4j), and more
With AI accelerating faster than most enterprises can adapt, this book provides both the urgency and the operational clarity leaders need to move from exploration to execution. It's an indispensable resource for those shaping the future of platforms, systems, teams, and entire organizations.
If the first edition helped readers see the future of AI in 2023-this one will help you navigate 2027 and beyond.
