Ipsos WEF - Global Consumer Views on Automation

© 2019 Ipsos
DAVOS 2019
Global Citizens & Automation
An Ipsos-World Economic Forum Project

© 2019 Ipsos 2
Project Description
• Ipsos and the World Economic Forum are launching a research program to
track and decode public understanding and acceptance of new
technologies across the globe
• New findings are to be released every six months
• This report features the results of the first wave of research on
Automation that we were unveiled at Davos 2019
• This first study was conducted in October-November 2018 among more
than 18,800 adults in 26 countries
Ipsos-World Economic Forum Tracking Study on Consumer Acceptance of Information Technology

© 2019 Ipsos 3
Headlines
Ipsos-World Economic Forum: Global Citizens & Automation
Three in ten workers say automation is
putting their current employment at risk
Half of workers globally think automation has
made their job completely different – mostly better
Trade and logistics workers are most under-trained relative
to how much disruption they expect from automation
Consumers tend to have a favorable view of the
impact of automated products on people’s lives
Chinese workers are three times as likely to have access to
employer-provided technology training than Japanese workers

© 2019 Ipsos 4
Key Findings (1): Automation Has Transformed the Way We Work
Workers’ experience with automation is mostly positive, but many fear it puts their employment at risk
• Nearly half of workers globally (46%) say automation has made their job completely different from what it was ten years ago and tend to
view the changes it brought upon in a positive way.
o Workers are much more likely to agree than disagree that automation has made their job easier (49% vs. 18%), improved the quality of their work
(46% vs. 20%), reduced the risks of injury while working (42% vs. 20%) and made their job more interesting (40% vs. 23%).
• However, many worry about their job security. Nearly as many workers agree that automation is putting their current employment at
risk (30%) as disagree (35%).
o Concern about automation jeopardizing one’s job is most prevalent among agricultural workers (38%) and those in administrative support
services (37%) and least so among workers in the healthcare and social services sector (23%).

© 2019 Ipsos 5
Key Findings (2): Worker Preparedness and Consumer Attitudes
Toward Automation Vary Widely Across Countries
Workers Around the World Are Unevenly Prepared for Automation
• Nearly two thirds of workers globally (64%) say their employer offers training to improve or update their own technical skills.
o However, disparities across countries are steep. More than four in five of workers in India (91%), China (86%) and Peru (84%) report being offered
training on new technology and products their organization is using vs. fewer than half in Japan (28%), Russia (42%) and France (49%).
Automated Technologies Tend to Be Viewed Favorably… But Not Everywhere
• On average, 43% of adults worldwide look at seven automated technologies as having a positive impact on people’s lives vs. 30% having
a neutral assessment and 19% a negative one.
o A wide gap separates high-income countries from low-income countries when it comes to views about automation: on average, 64% in China and
62% in India rate the impact of automation technologies positively vs. just 22% in Germany and France and 23% in Belgium.

© 2019 Ipsos 6
Sentiment about impact of automated products on people’s lives skews positive
Base: 18,813 adults aged 16-64 across Argentina, Australia, Belgium, Brazil, Canada, Chile, China, France, Germany, Great Britain, Hungary, India, Italy, Japan,
Malaysia, Mexico, Peru, Poland, Russia, Saudi Arabia, South Africa, South Korea, Spain, Sweden, Turkey, United States. October-November 2018
19%
19%
15%
16%
12%
11%
11%
32%
32%
30%
29%
26%
24%
23%
27%
26%
31%
29%
32%
31%
32%
9%
9%
10%
11%
14%
14%
14%
6%
5%
6%
7%
8%
10%
10%
8%
9%
8%
8%
9%
10%
10%
Self-service kiosks
Internet-connected medical devices
Voice recognition assistance
Internet-connected appliances and home devices
Customer service online chatbots
Robots
Drones
Very positive Somewhat positive Neither positive nor negative Somewhat negative Strongly negative Don't know enough
Q7.To what extent do you think that each of the following types of automated products and services has or will have a positive or a negative impact on people’s lives?
Very/
somewhat
positive
51%
51%
45%
45%
38%
35%
35%

© 2019 Ipsos 7
54%
57%
50% 51%
44%
39% 41%
51% 49%
43% 43%
36% 34% 32%
47%
42%
37% 37%
29% 28% 27%
Internet-connected
medical devices
Self-checkout/electronic
ordering kiosks
Voice recognition
assistance
Internet-connected
appliances and home
devices
Customer service online
chatbots
Robots Drones
Under 35 35 to 49 50 to 64
Younger consumers have a generally warmer view about the impact of
automated products
Q7.To what extent do you think that each of the following types of automated products and services has or will have a positive or a negative
impact on people’s lives?
(% Very or somewhat positive)

© 2019 Ipsos 8
Deep divide between high-income and low-income countries about automation: more than 3 in 5
Chinese and Indians are enthusiastic vs. fewer than 1 in 4 Germans, French and Belgians
Q7. To what extent do you think that each of the following types of automated products and services has or will have a positive or a negative
impact on people’s lives?
SAU
55%
CHN
64%
IND
62%
BRA
46%
TUR 54%
PER
57%
ITA
43%
POL
42%
ARG
46%CHL
49%
DEU
22%
SWE
31% RUS
43%
HUN
37%
MEX
46%
USA
40%
GBR
38%
ESP
38%
FRA
22%
AUS
36%
BEL
23%
JPN
29%
CAN
34%
Global Average –
43%
60% or more
45-59%
30-44%
Less than 30%
% very or somewhat positive
(average for seven technologies)
MYS
51%
ZAF
52%
KOR
46%

© 2019 Ipsos 9
Within each country, attitudes about various types of automated products are
fairly consistent
Q7. To what extent do you think that each of the following types of automated products and services has or will have a positive or a
negative impact on people’s lives?
(% Very or somewhat positive)
Total ARG AUS BEL BRA CAN CHL CHN FRA DEU GBR HUN IND ITA JPN MYS MEX PER POL RUS SAU ZAF KOR ESP SWE TUR USA
Internet-connected medical devices 51% 63% 48% 31% 53% 51% 65% 65% 36% 29% 50% 48% 66% 56% 33% 57% 60% 70% 40% 47% 57% 63% 52% 49% 38% 58% 49%
Self-checkout/check-in/electronic
ordering kiosks at stores, airports,
restaurants, etc.
51% 55% 47% 31% 46% 44% 55% 72% 23% 26% 50% 42% 69% 49% 36% 62% 49% 71% 55% 56% 63% 66% 49% 34% 44% 66% 54%
Voice recognition assistance (e.g., Siri,
Alexa, Cortana, Google Assistant, etc.)
45% 50% 41% 21% 49% 39% 53% 68% 21% 25% 38% 33% 66% 42% 29% 51% 53% 62% 36% 50% 60% 60% 49% 37% 27% 61% 42%
Internet-connected appliances and
home devices
45% 49% 36% 23% 54% 31% 51% 67% 24% 23% 41% 47% 67% 45% 28% 56% 46% 63% 45% 42% 58% 57% 51% 38% 30% 51% 41%
Customer service online chatbots 38% 34% 31% 21% 46% 30% 42% 61% 13% 16% 36% 34% 60% 37% 20% 46% 40% 45% 45% 38% 49% 51% 39% 45% 27% 46% 35%
Robots 35% 34% 26% 17% 37% 23% 38% 61% 21% 19% 27% 28% 52% 36% 29% 44% 36% 40% 36% 35% 50% 33% 43% 30% 31% 46% 30%
Drones 35% 40% 27% 18% 41% 23% 42% 57% 15% 15% 25% 24% 54% 38% 28% 41% 40% 50% 35% 31% 49% 35% 40% 30% 24% 48% 29%

© 2019 Ipsos 10
Half of workers globally say automation has made their job completely different from what it was
10 years ago; automation’s impact on own job is more likely than not to be viewed positively; but
nearly as many agree it’s putting their current employment at risk (30%) as disagree (35%)
It has made my job easier
It has made my job completely different from what it was 10 years ago
15% 34% 33% 11% 8%
It has reduced the risks of injury while working
It has improved the quality of my work
It has made my job more interesting
It is putting my current employment at risk
Base: 12,502 employed adults aged 16-64 across Argentina, Australia, Belgium, Brazil, Canada, Chile, China, France, Germany, Great Britain, Hungary, India, Italy,
Japan, Malaysia, Mexico, Peru, Poland, Russia, Saudi Arabia, South Africa, South Korea, Spain, Sweden, Turkey, United States. October-December 2018
It will make my job completely different in the next 10 years
17% 32% 32% 11% 7%
15% 31% 33% 12% 9%
14% 32% 35% 12% 8%
12% 30% 38% 12% 9%
12% 28% 38% 13% 9%
10% 20% 36% 20% 15%
Q8. To what extent do you agree or disagree with each of the following about automation?
Strongly or
somewhat
agree
49%
49%
46%
46%
42%
40%
30%

© 2019 Ipsos 11
Automation-related changes are most widely seen as positive where workers most
report it as made their job completely different
(% strongly or somewhat agree)
Total ARG AUS BEL BRA CAN CHL CHN FRA DEU GBR HUN IND ITA JPN MYS MEX PER POL RUS SAU ZAF KOR ESP SWE TUR USA
It has made my job completely
different from what it was 10 years ago
46% 57% 35% 34% 50% 40% 56% 66% 36% 29% 29% 34% 72% 40% 16% 65% 56% 60% 48% 34% 65% 58% 38% 41% 24% 55% 44%
It has made my job easier 49% 56% 33% 32% 51% 42% 61% 72% 30% 29% 29% 38% 73% 35% 22% 69% 59% 67% 51% 53% 66% 60% 54% 38% 24% 65% 44%
It has improved the quality of my work 46% 51% 31% 30% 53% 40% 53% 71% 30% 24% 27% 32% 74% 36% 14% 63% 60% 69% 44% 52% 60% 58% 47% 30% 22% 60% 40%
It has reduced the risks of injury while
working
42% 46% 32% 19% 48% 37% 49% 66% 31% 31% 26% 26% 65% 38% 16% 61% 45% 63% 41% 43% 63% 49% 37% 26% 17% 60% 37%
It has made my job more interesting 40% 44% 25% 23% 46% 28% 47% 70% 20% 21% 22% 28% 70% 32% 9% 59% 52% 58% 35% 45% 58% 57% 37% 24% 19% 50% 35%
It will make my job completely
different in the next 10 years
49% 53% 41% 44% 50% 47% 57% 64% 41% 32% 35% 41% 72% 44% 29% 65% 56% 64% 47% 38% 63% 58% 49% 43% 29% 59% 46%
It is putting my current employment at
risk
30% 30% 27% 30% 39% 26% 32% 42% 37% 18% 25% 20% 49% 28% 15% 36% 39% 31% 26% 19% 43% 31% 27% 33% 14% 29% 29%
Automation acceleration (% it will
make my job different minus % it has
made my job different)
+3 -4 +6 +10 -1 +6 +1 -2 +5 +2 +5 +7 0 +4 +13 0 +1 +3 +0 +5 -2 +0 +11 +3 +5 +3 +2

© 2019 Ipsos 12
Automation-related disruption is most widely experienced and expected in information and financial
services industries; concern about one’s job being at risk is similar across sectors, but lower in healthcare
Total
Farming,
forestry,
and
fishing
Mining/
extraction,
utilities,
construct.
Manu-
facturing
Wholesale
and retail
trade
Transport
and
logistics
Media,
publish’g,
telecom,
data
proc’g
Financial
insurance
and real
estate
services
Profess’l,
scientific
and
technical
services
Admin.
and
support
services
Education
Healthcare
and social
services
Arts,
sports,
and
recreation
Hospitality
and food
services
Gov’t
services
(excl.
police/
military)
Military,
police,
emerg’cy
services,
security
Base (wtd) 8092 95 821 939 744 384 288 401 624 514 796 582 140 304 434 182
It has made my job completely
different from what it was 10 years ago
46% 40% 50% 47% 44% 38% 55% 54% 50% 48% 49% 37% 47% 41% 44% 42%
It has made my job easier 49% 46% 52% 50% 46% 43% 58% 57% 59% 50% 54% 38% 52% 50% 43% 37%
It has improved the quality of my work 46% 55% 49% 50% 42% 36% 52% 55% 53% 45% 48% 37% 54% 45% 42% 36%
It has reduced the risks of injury while
working
43% 49% 44% 48% 38% 37% 47% 49% 52% 40% 43% 34% 43% 44% 34% 38%
It has made my job more interesting 40% 49% 42% 43% 36% 30% 50% 49% 48% 40% 43% 28% 43% 38% 35% 31%
It will make my job completely
different in the next 10 years
49% 50% 48% 53% 49% 43% 62% 57% 56% 54% 48% 38% 47% 45% 48% 47%
It is putting my current employment at
risk
30% 38% 32% 33% 30% 28% 33% 33% 33% 37% 28% 23% 30% 28% 29% 30%
Automation acceleration (% it will
make my job different minus % it has
made my job different)
+3 +10 -2 +6 +5 +5 +7 +3 +6 +6 -1 +1 0 +4 +3 +5
(% strongly and somewhat agree)

© 2019 Ipsos 13
Concern about automation jeopardizing one’s current employment is highest in large emerging markets
(India, KSA, China, Brazil, Mexico) and France; lowest in Sweden, Japan, Germany, and Russia
Automation is putting my current employment at risk
% strongly or somewhat agree
SAU
43%
CHN
42%
IND
49%
BRA
39%
TUR 29%
PER
31%
ITA
28%
POL
26%
ARG
30%CHL
32%
DEU
18%
SWE
14% RUS
19%
HUN
20%
MEX
39%
USA
29%
GBR
25%
ESP
33%
FRA
37%
AUS
27%
BEL
30%
JPN
15%
CAN
26%
Global Average –
30%
Less than 20%
20-29%
30-34%
35-39%
40% or more
MYS
36%
ZAF
31%
KOR
27%

© 2019 Ipsos 14
Globally, 61% of workers report that their employers offers training on new technology or products
their organization is using and 64% training to improve or update their technical skills; in both cases,
internal training is offered twice as often as external training
New technology or products your organization is using Helping employees improve/update technical skills
Q9. What kind of training or education does your employer offer for each of the following?
Internal
training
41%
External
training
20%
None
39%
Internal
training
43%
External
training
21%
None
36%
% of workers saying their employer offers training or education for…

© 2019 Ipsos 15
41% 40%
46%
40% 37%
55%
42% 42%
29% 30%
45%
34%
59%
45%
17%
53%
42%
55%
33%
22%
41%
53%
32% 35%
48%
40%
48%
20% 21% 14%
15%
28%
11%
20%
37%
13%
21%
15%
13%
31%
20%
7%
22%
24%
26%
21%
14%
36%
19%
26% 18%
17%
20%
13%
39% 39% 41%
45%
36% 35% 38%
21%
58%
49%
41%
53%
10%
35%
77%
26%
34%
20%
46%
64%
23%
28%
42%
48%
35%
40% 40%
None
External
training
Internal
training
Where workers are least likely to report that their employer offers training on new technology and
products their organization is using are Japan, Russia, France and Hungary; access to internal training is
most widely reported in India, Peru, and Canada; access to external training in China, Saudi Arabia,
India, and Brazil
New technology or products your organization is using

© 2019 Ipsos 16
Global
Argentina
AustraliaBelgium
Brazil
Canada
Chile
China
France
Germany
Great Britain
Hungary
India
Italy
Japan
Malaysia
Mexico
Peru
Poland
Russia
Saudi Arabia
South Africa
South Korea
Spain Sweden
Turkey
United States
0%
5%
10%
15%
20%
25%
30%
35%
40%
10% 20% 30% 40% 50% 60% 70%
% provide internal training
%provideexternaltraining
Employer-Sponsored External vs. Internal Training on Organization’s New Technology/Products
New technology or products your organization is using
Above average external training
Below average internal training
Above average external and internal training
Above average internal training
Below average external trainingBelow average internal and external training

© 2019 Ipsos 17
43% 47%
42% 40% 42% 46%
39%
53%
35% 36%
47%
32%
66%
47%
21%
54%
49% 52%
34%
26%
48% 51%
32%
38% 41% 39%
45% 48%
40%
48%
21%
18%
19%
14%
24% 17%
25%
33%
14%
22%
15%
16%
25%
20%
8%
23%
23%
32%
22%
16%
30% 24%
30% 18%
20% 20%
17%
17%
20%
13%
36% 35% 39%
46%
34% 37% 36%
14%
51%
42% 38%
52%
9%
33%
72%
23%
29%
16%
44%
58%
22% 25%
39%
45%
39% 41% 39% 35%
40% 40%
Global
ARG
AUS
BEL
BRA
CAN
CHL
CHN
FRA
DEU
GBR
HUN
IND
ITA
JPN
MYS
MEX
PER
POL
RUS
SAU
ZAF
KOR
ESP
SWE
TUR
USA
SWE
TUR
USA
None
External
training
Internal
training
Workers are least likely to be report their employer offers training on their technical skills are Japan,
Russia, Hungary, and France; access to internal training is most widely reported in India, China, and
Peru; access to external training in China, Peru, and Saudi Arabia
Helping employees improve/update technical skills

© 2019 Ipsos 18
Global
Argentina
Australia
Belgium
Brazil
Canada
Chile
China
France
Germany
Great Britain
Hungary
India
Italy
Japan
MalaysiaMexico
Peru
Poland
Russia
Saudi Arabia
South Africa
South Korea
Spain
SwedenTurkey
United States
0%
5%
10%
15%
20%
25%
30%
35%
10% 20% 30% 40% 50% 60% 70%
% provide internal training
%provideexternaltraining
Employer –Sponsored External vs. Internal Training of Employees on Technical Skills
Helping employees improve/update technical skills
Above average external training
Below average internal training
Above average external and internal training
Above average internal training
Below average external trainingBelow average internal and external training

© 2019 Ipsos 19
Employer-sponsored training is most widely provided in financial, professional/scientific/ technical,
and information services; least so in transportation/logistics and wholesale/retail trade
61%
63%
62%
63%
56%
55%
71%
71%
71%
64%
64%
56%
60%
56%
68%
61%
64%
69%
65%
65%
58%
57%
71%
74%
72%
66%
67%
61%
64%
58%
72%
64%
Global
Farming, forestry, and fishing
Mining and extraction, Utilities, Construction
Manufacturing
Wholesale and retail trade
Transportation and warehousing
Media, publishing, telecommunications and data processing
Financial insurance and real estate services
Professional, scientfic and technical services
Administrative and suport services
Education
Healthcare and social services
Arts, sports, and recreation
Hospitality and food services
Government services excl. police/emergency/military
Military, police, emergency services, and security
New technology or
products your
organization is using
Helping employees
improve/update
technical skills
(% provide training)

© 2019 Ipsos 20
Methodology
• These are the findings of an Ipsos Global Advisor survey on attitudes toward data privacy in partnership with the World Economic Forum. In total,
18,813 interviews were conducted October 26 – November 9, 2018 among adults aged 18-64 in the US and Canada, and adults aged 16-64 in all 24
other countries.
• The survey was conducted in 26 countries around the world via the Ipsos Online Panel system. The countries reporting herein are Argentina,
Australia, Belgium, Brazil, Canada, Chile, China, France, Germany, Great Britain, Hungary, India, Italy, Japan, Malaysia, Mexico, Peru, Poland, Saudi
Arabia, South Africa, South Korea, Russia, Spain, Sweden, Turkey and the United States of America. Note that some of the questions were not asked
in all 26 countries.
• Between 500 and 1000+ individuals participated on a country by country basis via the Ipsos Online Panel. The sample size is 1000+ in Australia, Brazil,
Canada, France, Germany, Great Britain, Italy, Japan, Spain and the United Stated of America. In all other countries the sample size is 500+. The
precision of Ipsos online polls is calculated using a credibility interval with a poll of 1,000 accurate to +/- 3.5 percentage points and of 500 accurate to
+/- 5.0 percentage points. For more information on Ipsos’ use of credibility intervals, please visit the Ipsos website.
• In countries where internet penetration is approximately 60% or higher the data output generally reflects the overall population. Of the 26 countries
surveyed online, 15 yield results that are balanced to reflect the general population: Argentina, Australia, Belgium, Canada, France, Germany,
Hungary, Italy, Japan, Poland, South Korea, Spain, Sweden, Great Britain and the United States. The 11 remaining countries surveyed – Brazil, Chile,
China, India, Malaysia, Mexico, Peru, Russia, Saudi Arabia, South Africa and Turkey – have lower levels of internet connectivity and reflect online
populations that tend to be more urban and have higher education/income than the general population.
• Where results do not sum to 100, this may be due to computer rounding, multiple responses or the exclusion of don't knows or not stated responses.
• Data are weighted to match the profile of the population.

© 2019 Ipsos 21
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