The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You

#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

Epilogue

Acknowledgements

References and further reading