• What to Do When Machines Do Everything

  • How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
  • By: Malcolm Frank, Paul Roehrig, Ben Pring
  • Narrated by: Eric Martin
  • Length: 7 hrs and 28 mins
  • Unabridged Audiobook
  • Release date: 28-04-17
  • Language: English
  • Publisher: Audible Studios
  • 4.5 out of 5 stars 4.4 (32 ratings)


The essential playbook for the future of your business.
What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.
Written by a team of business and technology expert practitioners - who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business - this book provides a clear path to the future of your work.
The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom. The AHEAD model outlines five strategic initiatives - Automate, Halos, Enhance, Abundance, and Discovery - that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation.
Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you:

Understand the untold full extent of technology's impact on the way we work and live
Find out where we're headed, and how soon the future will arrive
Leverage the new emerging paradigm into a sustainable business advantage
Adopt a strategic model for winning in the new economy

The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business - or your career - get left behind. What to Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
©2017 Cognizant Technology Solutions U.S. Corporation (P)2017 Audible, Inc.
Show More Show Less

Regular price: £19.39

Membership details Membership details
  • A 30-day trial plus your first audiobook, free
  • 1 credit/month after trial – choose any book, any price
  • Easy exchanges – swap any book you don’t love
  • Keep your audiobooks, even if you cancel
  • Free, unlimited access to Audio Shows
  • After your trial, Audible is just £7.99/month
Select or Add a new payment method

Buy Now with 1 Credit

By completing your purchase, you agree to Audible's Conditions of Use and authorise Audible to charge your designated card or any other card on file. Please see our Privacy Notice, Cookies Notice and Interest-based Ads Notice.

Buy Now for £19.39

Pay using card ending in
By completing your purchase, you agree to Audible's Conditions of Use and authorise Audible to charge your designated card or any other card on file. Please see our Privacy Notice, Cookies Notice and Interest-based Ads Notice.

By completing your purchase, you agree to Audible's Conditions of Use and authorise Audible to charge your designated card or any other card on file. Please see our Privacy Notice, Cookies Notice and Interest-based Ads Notice.

Customer Reviews

Most Helpful
3 out of 5 stars
By Andrei S. on 24-03-18

A bunch of good ideas diluted in an annoying book

As mentioned, the book has a bunch of good ideas but really that's about it. They could have been stated and explained in 5 pages. The authors rarely bother with factual data to back their claims (apart from a bunch of companies used as anecdotal evidence and reiterated obsessively throughout), which is shocking for a book insisting so much on the value of data. The same ideas get repeated unnecessarily throughout the book. Also, I'm annoyed by the choice of target audience of this book. This book is really only written for high level managers of big corporations. That's it. Everyone else is collateral damage in the forecasted AI revolution. Even as a software engineer in one of the companies the book praises, I find myself very limited in what I can apply from this book. I recognize the ideas in it and I'm happy to see they're being applied, but realistically there's little I can do to apply these myself. If you're working for McDonald's and want to know what you can do, this book basically tells you that you'll get fired, but maybe if you don't fight the new technologies you don't. That's really the only takeaway from this. this This is fine, but at least make it obvious in the title that it's only for CEOs. For people that don't have the antrepreneur obsession, this book is completely useless.

Read more Hide me

2 of 2 people found this review helpful

4 out of 5 stars
By Newty1977 on 04-09-17

Mocking Dystopia

Ok, maybe not completely mocking the dystopian view of Artificial Intelligence and Robotics, but the authors do a solid job of presenting an alternative view of the doom mongering that often surrounds AI and our future. Sure, there are reasons to be concerned, but drawing on examples from industrialisation and automation that has been occurring across sectors for decades, the authors do a credible job of outlining how AI can lead to more jobs and better, more interesting work. We can choose whether we believe the predictions and there are credible arguments on both sides of the debate, but this book presents a strong argument for optimism.

Read more Hide me

1 of 1 people found this review helpful

See all reviews

Customer Reviews

Most Helpful
2 out of 5 stars
By Nathan Burnham on 06-05-17

Assumes that machine learning will grow very slow

As a founder of a robotics startup I work with and keep up to date with the bleeding edge of what we have accomplished in machine learning research.

At the core of this book it argues that machine learning will be narrow AI and will continue to be simple feed forward supervised neural networks for about 20 years.

This is very wrong. We have robust renforment learning, unsupervised learning, and models that integrate with memory. When just what we have working well in universities reaches buisness we will automate much more that what the author's predict. This also ignores that massive breakthroughs in ml are being discovered on the timescale of weeks not years.

They also say that some jobs will never be automated. Perhaps the author believes that there is something magical about the algorithm in the human brain which the physics of the universe prevents us from replicating.

Besides all that, this book is dumbed down and targeted at technically incompetent managers. It has a low information to fluff ratio and is afraid to go into much technical depth. This last point doesn't make it a bad book, just a bad book to me.

Read more Hide me

23 of 23 people found this review helpful

3 out of 5 stars
By D. Pelletier on 18-05-17

Lots of opinion but not much advice

After reading the reviews and the description I decided to give this book a shot but I'm rather disappointed. If you're an entrepreneur or manager looking to navigate the next few years while people still have jobs but the author seems to think mass unemployment won't happen because under educated people that are not good at reasoning or critical thinking or math will move up to "higher value" tasks. The author fails to understand all of the trends involved (Exponential growth, changes and disruption to a number of industries and the economic climate as well as peoples ability to learn or adapt) that will lead to a perfect storm.

Read more Hide me

7 of 8 people found this review helpful

See all reviews