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Artificial Organizations: Build Better Judgment, Speed, and Results with Human and Machine Intelligence
- GenresArtificial Intelligence
175 pages, Kindle Edition
Published March 25, 2026
About the author
Barry O'Reilly
4 books44 followersBarry O’Reilly is a business advisor, entrepreneur, and author who has pioneered the intersection of business model innovation, product development, organizational design, and culture transformation.
Barry is the co-founder of Nobody Studios, a crowd-infused, high-velocity venture studio with the mission to create 100 compelling companies over the next 5 years.
Barry is the founder of ExecCamp, the entrepreneurial experience for executives, management consultancy Barry O’Reilly, LLC and serves on the Board of many high growth startups—the most recent of which AgileCraft, acquired by Atlassian.
Barry is author of two international bestsellers, Unlearn: Let Go of Past Success to Achieve Extraordinary Results, and Lean Enterprise: How High Performance Organizations Innovate at Scale—included in the Eric Ries series, and a Harvard Business Review must read for CEOs and business leaders.
He is an internationally sought-after speaker, frequent writer and contributor to The Economist, Strategy+Business, and MIT Sloan Management Review.
Barry is faculty at Singularity University, advising and contributing to Singularity’s executive and accelerator programs based in San Francisco, and throughout the globe.
His mission is to help purposeful, technology-led businesses innovate at scale.
Barry is the co-founder of Nobody Studios, a crowd-infused, high-velocity venture studio with the mission to create 100 compelling companies over the next 5 years.
Barry is the founder of ExecCamp, the entrepreneurial experience for executives, management consultancy Barry O’Reilly, LLC and serves on the Board of many high growth startups—the most recent of which AgileCraft, acquired by Atlassian.
Barry is author of two international bestsellers, Unlearn: Let Go of Past Success to Achieve Extraordinary Results, and Lean Enterprise: How High Performance Organizations Innovate at Scale—included in the Eric Ries series, and a Harvard Business Review must read for CEOs and business leaders.
He is an internationally sought-after speaker, frequent writer and contributor to The Economist, Strategy+Business, and MIT Sloan Management Review.
Barry is faculty at Singularity University, advising and contributing to Singularity’s executive and accelerator programs based in San Francisco, and throughout the globe.
His mission is to help purposeful, technology-led businesses innovate at scale.
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Displaying 1 - 6 of 6 reviews
April 10, 2026
Honest, practical, and one question short of complete
Barry O'Reilly argues that AI is not a productivity tool. It is a judgment system. Used well, it makes the leader better. Used poorly, experience doesn't mature. It calcifies.
This sounds obvious until you see the numbers. O'Reilly surveyed CEOs and VPs on what they consider the biggest return from AI. 45% of CEOs said cost reduction. 37% of VPs said burnout relief. Only 13% across both groups named what actually matters: better decisions, faster. The entire market is looking at the wrong thing.
The practical framework (5-15-30 roadmap: redesign your own decisions in five days, share what works by fifteen, build systems by thirty) is immediately actionable. The 3T model (Traits, Tasks, Tools) is the corrective to the industry's tool obsession: start with what the leader needs to develop, then identify the tasks that matter, only then choose the tool.
The most resonant insight: "Informed boards won't ask whether you're using AI. They'll ask whether your judgment infrastructure is competitive." Judgment infrastructure. Not dashboards. Not control towers. The organizational capacity to make better decisions, not just faster ones.
Where the book stops: the individual leader transforms. But what happens when the leader changes and the organization doesn't change with them? The 5-15-30 creates conditions for 30 days. It doesn't answer what sustains them after. That's not a criticism. It's the question the book earns the right to leave open.
Recommended for leaders who sense the problem but can't name it yet.
Barry O'Reilly argues that AI is not a productivity tool. It is a judgment system. Used well, it makes the leader better. Used poorly, experience doesn't mature. It calcifies.
This sounds obvious until you see the numbers. O'Reilly surveyed CEOs and VPs on what they consider the biggest return from AI. 45% of CEOs said cost reduction. 37% of VPs said burnout relief. Only 13% across both groups named what actually matters: better decisions, faster. The entire market is looking at the wrong thing.
The practical framework (5-15-30 roadmap: redesign your own decisions in five days, share what works by fifteen, build systems by thirty) is immediately actionable. The 3T model (Traits, Tasks, Tools) is the corrective to the industry's tool obsession: start with what the leader needs to develop, then identify the tasks that matter, only then choose the tool.
The most resonant insight: "Informed boards won't ask whether you're using AI. They'll ask whether your judgment infrastructure is competitive." Judgment infrastructure. Not dashboards. Not control towers. The organizational capacity to make better decisions, not just faster ones.
Where the book stops: the individual leader transforms. But what happens when the leader changes and the organization doesn't change with them? The 5-15-30 creates conditions for 30 days. It doesn't answer what sustains them after. That's not a criticism. It's the question the book earns the right to leave open.
Recommended for leaders who sense the problem but can't name it yet.
May 6, 2026
A strong and accessible book about the mindset and stance leaders need in the age of AI.
The core focus of the book is leadership and decision-making: how leaders need to adapt their judgment, how to work effectively with AI, and how AI can improve decision-making processes. In that regard, the book delivers well. It is easy to read, easy to follow, and provides many practical reflections for leaders navigating AI-driven environments - even if some arguments become a bit repetitive over time.
My main criticism is actually the title: Artificial Organizations. The title made me expect a deeper exploration of how organizations themselves need to evolve structurally in the age of AI.
Decision-making is definitely one of the cornerstones of organizations, but I missed the organizational scaling perspective: How do structures, teams, governance models, collaboration patterns, and operating models evolve when AI becomes part of the organizational system?
Definitely worth reading - especially for leaders reflecting on their own role in AI-driven environments - but be aware that this is much more a book about leadership and decision-making than about organizations or organizational design.
The core focus of the book is leadership and decision-making: how leaders need to adapt their judgment, how to work effectively with AI, and how AI can improve decision-making processes. In that regard, the book delivers well. It is easy to read, easy to follow, and provides many practical reflections for leaders navigating AI-driven environments - even if some arguments become a bit repetitive over time.
My main criticism is actually the title: Artificial Organizations. The title made me expect a deeper exploration of how organizations themselves need to evolve structurally in the age of AI.
Decision-making is definitely one of the cornerstones of organizations, but I missed the organizational scaling perspective: How do structures, teams, governance models, collaboration patterns, and operating models evolve when AI becomes part of the organizational system?
Definitely worth reading - especially for leaders reflecting on their own role in AI-driven environments - but be aware that this is much more a book about leadership and decision-making than about organizations or organizational design.
April 16, 2026
Did not appreciate the writing style but _very much_ appreciated the message.
If you're a leader at the precipice of "AI" for both personal leverage and wider org deployment, this should be the first book you pick up.
Highlights: traits/tasks/tools, capture/transcribe/synthesis/act loop, practical advice on how to get started
Meh: writing style reeks of LLM, a reinvention of Boyd's OODA loop without calling it that, looking at problems solely through a blunt Cynefin complicated lens.
If you're a leader at the precipice of "AI" for both personal leverage and wider org deployment, this should be the first book you pick up.
Highlights: traits/tasks/tools, capture/transcribe/synthesis/act loop, practical advice on how to get started
Meh: writing style reeks of LLM, a reinvention of Boyd's OODA loop without calling it that, looking at problems solely through a blunt Cynefin complicated lens.
March 26, 2026
An excellent primer on leveraging AI to be a better leader
Finally a book on how leaders should think, decide, and lead in an increasingly AI driven world. Barry does a great job focusing leaders on how to leverage this technology to be better leaders, be more present, and model how AI adoption should work to the rest of the organisation.
Finally a book on how leaders should think, decide, and lead in an increasingly AI driven world. Barry does a great job focusing leaders on how to leverage this technology to be better leaders, be more present, and model how AI adoption should work to the rest of the organisation.
April 13, 2026
Really wanted to like this book, and I think the author might have some good ideas... But I just couldn't stand every other sentence being the AI-format of, "It's not this, it's that..."
March 28, 2026
Great book to jumpstart your AI thinking
I enjoyed the clear writing and framing of how to approach AI in my day to day decisions to help bring clarity to my thoughts.
I enjoyed the clear writing and framing of how to approach AI in my day to day decisions to help bring clarity to my thoughts.
Displaying 1 - 6 of 6 reviews