What will I learn about: Rather than eliminating entire professions, automation will primarily remove dull, repetitive tasks, freeing workers to focus on higher-quality, engaging work?

Rather than eliminating entire professions, automation will primarily remove dull, repetitive tasks, freeing workers to focus on higher-quality, engaging work.

What will I learn about: Data is the raw material of the new industrial revolution, requiring skilled business analysts to mine and refine it into actionable, profitable insights?

Data is the raw material of the new industrial revolution, requiring skilled business analysts to mine and refine it into actionable, profitable insights.

What will I learn about: To stay competitive, companies must 'instrument' their operations by embedding miniature data collectors into everyday products and services to harvest valuable information?

To stay competitive, companies must 'instrument' their operations by embedding miniature data collectors into everyday products and services to harvest valuable information.

What will I learn about: Traditional businesses must adopt a digital hybrid model, combining physical operations with digitized experiences, to meet the immediate, app-driven demands of modern consumers?

Traditional businesses must adopt a digital hybrid model, combining physical operations with digitized experiences, to meet the immediate, app-driven demands of modern consumers.

What will I learn about: The best place to begin integrating automation is in the back office, such as human resources and finance, where massive amounts of data are already being collected and processed?

The best place to begin integrating automation is in the back office, such as human resources and finance, where massive amounts of data are already being collected and processed.

What To Do When Machines Do Everything

How To Get Ahead In A World Of AI, Algorithms, Bots and Big Data

Malcolm Frank, Paul Roehrig and Ben Pring

★ 4.0 / 5(172 ratings)

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Technology & the Future

If You're Curious About These Questions...

You should listen to this audiobook

💡Why does historical precedent suggest we shouldn't fear robots taking all our jobs, and what exactly will they replace instead?
💡What is the process of 'instrumenting,' and why might everyday objects like desks and doors soon become vital data-gathering tools for your business?
💡Why should leaders actively encourage their employees to design new products or services that would intentionally put their own company out of business?

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Key Takeaways from What To Do When Machines Do Everything

✓Rather than eliminating entire professions, automation will primarily remove dull, repetitive tasks, freeing workers to focus on higher-quality, engaging work.
✓Data is the raw material of the new industrial revolution, requiring skilled business analysts to mine and refine it into actionable, profitable insights.
✓To stay competitive, companies must 'instrument' their operations by embedding miniature data collectors into everyday products and services to harvest valuable information.
✓Traditional businesses must adopt a digital hybrid model, combining physical operations with digitized experiences, to meet the immediate, app-driven demands of modern consumers.
✓The best place to begin integrating automation is in the back office, such as human resources and finance, where massive amounts of data are already being collected and processed.

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What To Do When Machines Do Everything

Historical Context of Automation+

The Future of Jobs+

Systems of Intelligence+

Data as the New Raw Material+

Digital Hybrid Business Models+

Implementation & Action+

Quiz — Test Your Understanding

Question 1 of 7

According to the book, what is the historical reality regarding the fear that new machines will destroy jobs?

A. History shows that automation permanently increases national unemployment rates.
B. While machines replace specific tasks, technology routinely creates as many or more new jobs as it eliminates.
C. The first industrial revolution proved that machines only replace physical labor, not cognitive tasks.
D. Historical data proves that consumer technology immediately boosts a nation's overall productivity.

Question 2 of 7

How will automation primarily affect professions like teaching, according to Forrester Research studies cited in the text?

A. It will completely replace human teachers with artificial intelligence tutors.
B. It will eliminate dull and repetitive tasks like grading, allowing teachers to be more effective.
C. It will reduce the number of teachers needed by 90 percent, similar to the automation of factory floors.
D. It will require teachers to become software engineers to manage classroom technology.

Question 3 of 7

What is the defining characteristic of a 'system of intelligence' used by companies like Uber and Facebook?

A. It relies on human dispatchers to manually organize massive amounts of user data.
B. It uses self-learning software to recognize patterns in massive amounts of data and improve over time.
C. It intentionally minimizes the number of data points collected to ensure faster transaction speeds.
D. It completely eliminates the need for physical infrastructure in traditional businesses.

Question 4 of 7

In the context of business analytics, what does the book mean by the term 'instrumenting'?

A. Replacing physical office equipment with virtual reality headsets.
B. Training back-office employees to use advanced musical and creative software.
C. Gathering data from every possible product, service, and source within an organization.
D. Selling off outdated paper-based filing systems to fund digital start-ups.

Question 5 of 7

How does the book suggest traditional businesses, like airlines, defend themselves against disruptive start-ups and satisfy millennial customers?

A. By transitioning entirely to a digital product and abandoning physical services.
B. By adopting a part-physical and part-digital hybrid business model.
C. By doubling down on traditional customer service practices and face-to-face interactions.
D. By outsourcing all their back-office operations to Silicon Valley tech firms.

Question 6 of 7

Where does the book suggest a company should begin when starting to automate tasks?

A. The front-line customer service department.
B. The executive boardroom and upper management.
C. The physical manufacturing floor.
D. The back office, such as human resources and finance.

Question 7 of 7

What actionable advice do the authors give to prevent a company from falling behind technological progress?

A. Ask your employees to design products or services that would put your own company out of business.
B. Ban the use of personal smartphones during work hours to increase productivity.
C. Fire employees who display 'Sunday evening, Monday morning' attitudes regarding technology.
D. Immediately replace all paper-based filing systems with robot administrators.

What To Do When Machines Do Everything — Full Chapter Overview

1Recommendation
2New technologies have always inspired worry, not hope.
3New technologies will generate new jobs and transform existing ones.
4Today’s latest machines are made of software that learns from vast amounts of data.
5“Instrument” every part of your organization so analysts can use data to improve your business.
6Win millennial customers by evolving your traditional model into a digital hybrid.
7Begin automating work by focusing first on your back office.

What To Do When Machines Do Everything Summary & Overview

What To Do When Machines Do Everything (2017) takes a realistic look at what lies ahead for traditional jobs when industries adopt the next wave of automation: How can automation be incorporated into current business models? What should workers and managers expect? And what will happen to the economy as a whole?

Who Should Listen to What To Do When Machines Do Everything?

Readers interested in artificial intelligence or new digital technologies
Entrepreneurs interested in automating their workforce
Students of business strategy

About the Author: Malcolm Frank, Paul Roehrig and Ben Pring

Malcolm Frank, Paul Roehrig and Ben Pring are all leading figures at Cognizant, a technology consultancy with over 250,000 employees worldwide. They are also the authors of Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business.

© Malcolm Frank, Paul Roehrig and Ben Pring: What To Do When Machines Do Everything copyright 2017, John Wiley & Sons Inc. Used by permission of John Wiley & Sons Inc. and shall not be made available to any unauthorized third parties.

What To Do When Machines Do Everything

If You're Curious About These Questions...

Listen to What To Do When Machines Do Everything — Free Audiobook

Key Takeaways from What To Do When Machines Do Everything

Learning Tools

Mind Map

Quiz — Test Your Understanding

What To Do When Machines Do Everything — Full Chapter Overview

What To Do When Machines Do Everything Summary & Overview

Who Should Listen to What To Do When Machines Do Everything?

About the Author: Malcolm Frank, Paul Roehrig and Ben Pring

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