Provocative, powerful, and full of actionable wisdom. The Algorithmic Leader is a tour de force of ideas and insights from global pioneers who are challenging the status quo and reinventing organizations. Mike Walsh has produced a must-read for every leader and entrepreneur in this digital age.
Daniel Hulme, Founder & CEO of Satalia
"This book first made me deeply uneasy, and then deeply inspired. Like you, I wrestle with how best to thrive as our world grows increasingly complex and confusing, a world where the simple rules just don't work anymore. Mike Walsh's ten principles, distilled from real-life experience and deep thinking, point the way forward."
Michael Bungay Stanier, author of the Wall Street Journal bestseller The Coaching Habit
Great companies are built on culture. Mike Walsh's prescient vision of the algorithmic company of the future is no robot army of soulless analytics dashboards, but a living, breathing organisma community of humans who respond to motivation beyond compensation; purpose and impact; decision-making and autonomy; location and collaboration. A worthy read.
Brian Halligan, Founder & CEO of Hubspot
Mike Walsh provides an interesting and informative look at our future, which will be defined by algorithms and artificial intelligence. The underlying technologies may seem complex, but the message for business leaders is simple: use the new tools to enhance your skillsor become roadkill.
Vivek Wadhwa, Distinguished Fellow, Harvard Law School, Labor and Worklife Program and author of The Driver in the Driverless Car
Mike Walsh's years of talking to the world's technology leaders have given him unusually deep insight into the ways in which technology will change our world. Now he has written a powerful book that enables the rest of us to gain that insight. This book will change the way you think. Full of rich examples and great quotes, it is like a hyperspeed trip into the future that will give you a whole new perspective on your industry and career.
Melissa Schilling, author of Quirky and Strategic Management of Technological Innovation
Mike Walsh is the CEO of Tomorrow, a global consultancy on designing companies for the twenty-first century. He advises leaders on how to thrive in the current era of disruptive technological change.
A true global nomad, Mike travels over 300 days a year worldwide, researching trends, collecting case studies, and presenting on the future of business. Mike's clients include many of the global Fortune 500, and as a sought-after keynote speaker he regularly shares the stage with world leaders and business icons alike. Mike previously founded Jupiter Research in Australia, and has also held senior strategy roles at News Corporation in the Asia Pacific region.
Mike's other books include Futuretainment and The Dictionary of Dangerous Ideas. Each week he interviews provocative thinkers, innovators, and troublemakers on his podcast, Between Worlds.
The greatest threat we face is not robots replacing us, but our reluctance to reinvent ourselves.
We live in an age of wonder: cars that drive themselves, devices that anticipate our needs, and robots capable of everything from advanced manufacturing to complex surgery. Automation, algorithms, and AI will transform every facet of daily life, but are we prepared for what that means for the future of work, leadership, and creativity? While many already fear that robots will take their jobs, rapid advancements in machine intelligence raise a far more important question: what is the true potential of human intelligence in the twenty-first century?
Futurist and global nomad Mike Walsh has synthesized years of research and interviews with some of the world's top business leaders, AI pioneers and data scientists into a set of 10 principles about what it takes to succeed in the algorithmic age. Across disparate cultures, industries, and timescales, Walsh brings to life the history and future of ideas like probabilistic thinking, machine learning, digital ethics, disruptive innovation, and de-centralized organizations as a foundation for a radically new approach to making decisions, solving problems, and leading people.
The Algorithmic Leader offers a hopeful and practical guide for leaders of all types, and organizations of all sizes, to survive and thrive in this era of unprecedented change. By applying Walsh's 10 core principles, readers will be able to design their own journey of personal transformation, harness the power of algorithms, and chart a clear path aheadfor their company, their team, and themselves.
#0 - Introduction: Welcome to the algorithmic age#0.1: Flying the unfriendly skies
#0.2: A tale of two leaders
#0.3: The leader in the rhizome
#0.4: The end of all jobs?
#0.5: How to read this book
Part I: Change Your Mind
#1 - Work backwards from the future
#1.1: Start with algorithms
#1.2: Understand what machines can do
#1.3: Build for your future customers
#1.4: Learn from your kids
#1.5: Focus on experiences, not devices
#2 - Aim for 10X not 10%
#2.1: Focus on multiples, not margins
#2.2: Don't let a great idea hold you back from a better one
#2.3: Learn to follow the data
#2.4: Unlock the value of your own knowledge
#2.5: Imagine a future without your company in it
#3 - Think computationally
#3.1: Start with first principles
#3.2: Think like a computer
#3.3: Augment your intelligence
#3.4: Learn to trust the algorithm
#3.5 Speak the languages of power
#4 - Embrace uncertainty
#4.1: See the world like a gambler
#4.2: Rethink the role of meetings
#4.3: Conduct a decision audit
#4.4: Build an algorithmic brain trust
#4.5: Experiment to find questions, not answers
Part II: Change Your Work
#5 - Make culture your operating system
#5.1: Put principles before processes
#5.2: Be a gardener, not a prison guard
#5.3: Design teams to succeed
#5.4: Set the stage for smart ideas
#5.5: Use data to hack your culture
#6 - Don't work, design work
#6.1: Challenge your raison d'être
#6.2: Find the scaled-up solution
#6.3: Preserve your talent patterns
#6.4: Let your team own the work
#6.5: Build a digital twin
#7 - Automate and elevate
#7.1: Find the new job inside the old one
#7.2: Re-train, re-equip, and re-energize
#7.3: Create a team to rethink teams
#7.4: Reimagine, don't just replace work
#7.5: Focus on the exceptions
Part III: Change Your World
#8 - If the answer is X, ask Y
#8.1: Pick the right moral compass
#8.2: Avoid automating bias
#8.3: Understand the explainability trade-off
#8.4: Pick the right target
#8.5: Focus on the forest
#9 - When in doubt, ask a human
#9.1: Humanize, don't standardize
#9.2: Look outside the window
#9.3: Solve for everyone, not for the few
#9.4: See the world as a designer
#9.5: Augment relationships, don't replace them
#10. Solve for purpose, not just profit
#10.1: Connect people to their work
#10.2: Beware the algorithmic inequality trap
#10.3: Use algorithmic management thoughtfully
#10.4: Build platforms that you would use yourself
#10.5: Transform work by transforming yourself
References and further reading