25% of CEOs’ Time Is Spent on Tasks Machines Could Do

25% of CEOs’ Time Is Spent on Tasks Machines Could Do

25% of CEOs’ Time Is Spent on Tasks Machines Could Do

Soon after taking office, the new president created a national commission to examine the impact of automation. No family should pay an unjust price for progress, he announced, yet automation should not be viewed as an enemy. “If we understand it, if we plan for it, if we apply it well, automation will not be a job destroyer or a family displaced. Instead, it can remove dullness from the work of man and provide him with more than man has ever had before.”

The U.S. president who spoke those words was Lyndon B. Johnson, and the year was 1964.

A half-century later, technology has advanced at breakneck speed. Who back then, other than science fiction writers, could have imagined Amazon’s drone shipments, the legions of robots at work today in manufacturing, or the algorithms now being used to detect cancers? Yet anxiety about automation is still with us. Today there is concerned debate about the impact of technology on the economy and especially on the future of work.

Read Also:
Predictive Analytics & AI — Separating Hype from Reality

It’s instructive to note how the economy has continued to prosper, and people have continued to work, since the 1960s, even as the workplace itself has been reshaped by technology. New jobs that could not have been imagined at the time, such as app developer or MRI technician, have replaced obsolete ones, such as switchboard operators. That’s a pattern we have seen since the beginning of the Industrial Revolution, two centuries ago, when more than 60% of Americans worked on the land; today it’s less than 2%. Still, we cannot help but wonder: Could this time be different?

We have just published new research about automation’s potential effects, based on an in-depth analysis of more than 2,000 workplace activities across 800 occupations. We focused on activities because all occupations consist of numerous activities, each of which can be automated to a varying degree. Within marketing, for example, some tasks can be automated easily, but others cannot.

Read Also:
6 Incredible Ways Businesses are Using Artificial Intelligence Today

We found that half of the activities people are paid to do in the global economy have the potential to be automated using current technology. The most automatable activities involve data collection, data processing, and physical work in predictable environments like factories, which make up 51% of employment activities (not jobs) and $2.7 trillion of wages in the U.S. These activities are most prevalent in sectors such as manufacturing, food services, transportation and warehousing, and retail.

More occupations will change than will be automated in the short to medium term. Only a small proportion of all occupations (about 5%) can be entirely automated using these demonstrated technologies over the coming decade, though the proportion is likely to be higher in middle-skill job categories. But we found that about 30% of the activities in 60% of all occupations could be automated — and that will affect everyone from welders to landscape gardeners to mortgage brokers to CEOs.

Read Also:
Conceptualizing Big Data as a Service


Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
How to Manage the Tension between Data Control and Access

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
How to Manage the Tension between Data Control and Access

SMX London

23
May
2017
SMX London

10% off with code 7WDATASMX

Read Also:
How Shutterstock Uses Machine Learning to Improve the User Experience

Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
Unfolding the Benefits of Digital in Paper and Packaging

AI Paris

6
Jun
2017
AI Paris

20% off with code AIP17-7WDATA-20

Read Also:
Most Promising New Data Technologies to Gain Traction in 2017

Leave a Reply

Your email address will not be published. Required fields are marked *