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Brian Evergreen

Brian Evergreen is an author, advisor, and speaker specialising in artificial intelligence and organisational strategy. He helps organisations prepare for the future by using AI to create sustainable, human-centred solutions.
Brian Evergreen
Nationality
American
Residence
Greater Seattle Area, United States
Occupation
Author, Senior Advisor, Researcher, and Keynote Speaker
Companies
Known for
Author of Autonomous Transformation, AI strategy leadership, advising Fortune 500 companies.
Accolades
Top 50 AI Creators (2025), Thinkers50 Top 10 Book (2024), Thinkers50 Breakthrough Idea shortlist (2023), Next Big Idea Club "Must-Read", Top 50 Science Books (2023), Top 50 Business Books (2023), Shark Tank Innovation Award (2016).
Education
Certificate in Machine Learning (MIT), BA in Music Theory and Composition (Azusa Pacific University).
Social Media
Summary

Brian Evergreen is a leading author, advisor, and speaker specialising in artificial intelligence (AI) and strategy. He is the author of Autonomous Transformation: Creating a More Human Future in the Era of AI, which has been recognised as a Next Big Idea Club "Must-Read" and one of Thinkers50’s Top 10 Best New Management Books for 2024. In 2025, he was named one of Edelman’s Top 50 AI Creators You Need to Know.

 

He is the founder of The Future Solving Company, a research and advisory firm that helps organisations prepare for the future in the age of AI. He has advised over a dozen Fortune 500 companies, sharing insights from his roles at leading firms such as Accenture, AWS, and Microsoft. 

 

At Microsoft, he served as Global Head of Autonomous AI Co-Innovation at Microsoft Research and led AI Strategy for Microsoft US.

 

Evergreen also shares his expertise as a guest lecturer at the Kellogg School of Management and The Wharton School, teaching leadership and AI-related strategies. He has been a Senior Fellow at The Conference Board’s Economy, Strategy, and Finance Centre since 2023, where he advises C-level leaders globally on AI-driven transformation.

 

He is a contributing author for Fast Company, VentureBeat, and other publications. His work focuses on the intersection of AI and organisational leadership, providing frameworks that have supported over $20 billion in investments. His thought leadership has been featured in Bloomberg, CIO, Fast Company, and other media outlets.

 

Evergreen holds a certificate in Machine Learning from MIT and a Bachelor of Arts in Music Theory and Composition from Azusa Pacific University. Through his advisory, writing, and teaching, he continues to help organisations harness AI for a sustainable, human-centred future.

Biography

Brian Evergreen is a renowned author, advisor, researcher, and speaker specialising in artificial intelligence (AI) and organisational strategy. His life and career reflect a journey of consistent contributions to technology, leadership, and innovation. 

 

Born in the United States, Brian began his academic career by earning a Bachelor of Arts in Music Theory and Composition from Azusa Pacific University, where he participated in musical ensembles such as the Men’s Chorale and University Choir. He later pursued a certificate in Machine Learning: From Data to Decisions at the Massachusetts Institute of Technology (MIT), equipping himself with the tools to address complex challenges in AI and strategy.

 

Brian co-created and served as Chief Operating Officer of Code to the Future from 2006 to 2014, where he advanced computer science education. This marked the beginning of his commitment to preparing organisations and individuals for a tech-driven future.

 

In 2014, Brian joined Accenture as an Analytics and Application Development Lead, where he developed data-driven solutions for complex business problems. His expertise in analytics and software engineering led him to work with Amazon Web Services (AWS) between 2016 and 2017, contributing to large-scale engineering projects. Concurrently, he held a leadership role at CORTAC Group as Director of the Technology Solutions Practice.

 

From 2016 to 2023, Brian played significant roles at Microsoft, including U.S. Artificial Intelligence Strategy Lead and Global Head of Autonomous AI Co-Innovation at Microsoft Research. He spearheaded strategic initiatives that integrated AI into organisational processes, focusing on autonomous transformation and co-innovation strategies. These roles allowed him to develop frameworks that supported over $20 billion in investments.

In 2023, Brian founded The Future Solving Company, a research and advisory firm that helps organisations prepare for the era of AI. The firm focuses on solving future challenges by combining research, advisory services, and leadership development.

 

Brian authored Autonomous Transformation: Creating a More Human Future in the Era of AI, published by Wiley in 2023. The book was named a Next Big Idea Club "Must-Read" and one of Thinkers50’s Top 10 Best New Management Books for 2024. It provides actionable frameworks for leaders seeking to harness AI’s potential while maintaining a human-centred approach.

 

His articles have appeared in VentureBeat, Fast Company, Bloomberg, CIO, and Thinkers50. Notable pieces include How AI Agents Will Help Us Make Better Decisions, Trust in AI Is More Than a Moral Problem, and Introducing AI’s Long-Lost Twin: Engineered Intelligence.

 

Brian shares his expertise as a guest lecturer at the Kellogg School of Management and The Wharton School, teaching leadership in the context of AI. He is also a Senior Fellow at The Conference Board’s Economy, Strategy, and Finance Centre, advising C-level executives on strategy, AI adoption, and future-oriented innovation.

 

In 2025, Brian was named one of Edelman’s Top 50 AI Creators You Need to Know. His work continues to receive accolades, including recognition from the Next Big Idea Club and Thinkers50.

 

Currently, Brian leads The Future Solving Company, contributes as a LinkedIn Learning Instructor, and advises Fortune 500 companies on integrating AI strategies into their business models. Through his publications, lectures, and advisory roles, he remains committed to helping organisations navigate the challenges of the AI era and create a sustainable, human-centred future.

Vision

Brian Evergreen envisions a future where organisations harness the potential of artificial intelligence to create sustainable, human-centred progress. His work focuses on equipping leaders with practical strategies and frameworks to address challenges in the AI era while prioritising societal and organisational well-being. Through research, advisory services, and education, Brian aims to bridge the gap between technology and humanity, ensuring that AI innovations benefit people across all sectors. His vision is to help build a world where AI-driven transformation supports growth, fosters collaboration and enables organisations to thrive responsibly in an ever-evolving technological landscape.

Recognition and Awards

Brian Evergreen has received several notable awards for his contributions to artificial intelligence and strategy. In 2025, he was named one of Edelman’s Top 50 AI Creators You Need to Know. His book, Autonomous Transformation: Creating a More Human Future in the Era of AI, was recognised as a Next Big Idea Club "Must-Read" and one of Thinkers50’s Top 10 Best New Management Books for 2024. He has also been featured on the Thinkers50 2023 Breakthrough Idea Award shortlist. Brian’s thought leadership continues to be celebrated for its impact on organisational strategy and the future of AI.

References

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Brian Evergreen
Nationality
American
Residence
Greater Seattle Area, United States
Occupation
Author, Senior Advisor, Researcher, and Keynote Speaker
Companies
Known for
Author of Autonomous Transformation, AI strategy leadership, advising Fortune 500 companies.
Accolades
Top 50 AI Creators (2025), Thinkers50 Top 10 Book (2024), Thinkers50 Breakthrough Idea shortlist (2023), Next Big Idea Club "Must-Read", Top 50 Science Books (2023), Top 50 Business Books (2023), Shark Tank Innovation Award (2016).
Education
Certificate in Machine Learning (MIT), BA in Music Theory and Composition (Azusa Pacific University).
Social Media