Autonomous Transformation Creating a More Human Future in the Era of Artificial Intelligence

Praise for AUTONOMOUS TRANSFORMATION

“Autonomous Transformation comes at a key time in the evolution of AI and paints a compelling vision for how organizations and work itself will be transformed, along with a balance of theoretical context and practical approaches to guide the journey ahead. Autonomous Transformation is important reading for leaders everywhere interested in understanding our human plus machine future.”
—Paul Daugherty, Group Chief Executive — Technology, and CTO, Accenture

“A thoughtful look at the urgent question of our time: How to bring humanity to work.”
—Seth Godin, author of The Song of Significance: A New Manifesto for Teams

“For decades blockbuster movies fueled a plot where a hero reigns in technology that has run amuck. Terminator, The Matrix and Pixar’s Wall-E feature humans fighting a technological monster to save the world. Evergreen is a clarion voice needed in society to point to a brighter future for machines and humans.”
—Nancy Duarte, author of Datastory: Explain Data and Inspire Action Through Story

“Autonomous Transformation offers a thoughtful, inspiring, and actionable vision for how to create a more human future. Brian Evergreen seamlessly weaves together frameworks and stories to map out a compelling and clear guide for anyone looking to drive purposeful change in the midst of massive technological advances.”
—Liz Fosslien, co-author of No Hard Feelings: The Secret Power of Embracing Emotions at Work

“In an age of anxiety about AI, Evergreen asks the big questions about the changes we need to make to our political, economic, and management systems to ensure that this new technology does not rob us of our humanity. Whether you want to radically rethink capitalism or uphold it, this is a must-read!”
—Kim Scott, author of Radical Candor and Just Work

“Brian Evergreen’s Autonomous Transformation offers an engaging and thought-provoking treatise for anyone who ponders our future with artificial intelligence. Evergreen argues that AI is a powerful tool but only if employed in ways that uplift and empower one and all. He goes further by providing useful guides for how to adopt AI intentionally such that it is ethical, responsible, and in service of humanity.”
—Gurdeep Pall, Corporate Vice President, Head of Product Incubations, Microsoft

From technologist and strategist Brian Evergreen, a bold new agenda for the role of organizational leaders in creating a more human future with technology

Social good initiatives are incompatible with the current network of systems that make up and support the private and public sectors. Millions of dollars have been invested in bringing leaders together from organizations around the world to design solutions for global challenges such as the climate crisis, child labor, racism, war, and many more. Despite executive buy-in, alignment of core capabilities and resources, passionate leadership, and well-designed strategies, these initiatives inevitably fail (with a few, notable exceptions).

The dawn of the Internet ignited a global redesign and rebuild of the interlocking systems that make up and support the private and public sectors today. The era of Digital Transformation extended this further through the adoption of cloud technologies and distributed computing.

With a recent wave of technological advancements, organizations have arrived at another global redesign and rebuilding of the network of systems that make up society: Autonomous Transformation, revealing an opportunity for leaders to create Profitable Good through systemic design in combination with emerging autonomous technologies and surprising and remarkable partnerships.

Autonomous Transformation provides a blueprint for leaders and managers who have aspired or attempted to harness artificial intelligence and its adjacent technologies for the betterment of their organization and the world, weaving strategy, business, economics, systemic design, and philosophy into four actionable steps with accompanying frameworks:

2. Clear the Digital Fog
4. See the Systems
6. Choose a Problem Future
8. Design Inevitability