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DIGITAL INNOVATION NEEDS WELFARE

123

industrialised countries are so susceptible to au-

tomation that they will disappear in the next

two decades (Frey and Osborne, 2013).

However, automation will affect certain tasks,

not whole occupations. In many occupations,

tasks that can be automated through new tech-

nology are bundled with tasks that are inher-

ently difficult to automate. With this approach,

the share of jobs threatened by new technology

more resemble the pace of structural change we

are used to. Further, we must not underestimate

human creativity, nor human ability to find new

desires that needs to be fulfilled. Jobs will disap-

pear, but new jobs, occupations and companies

will emerge on the same time. Therefore, labour

market policies will even more have to look into

the future, since real employment security will

not lay in the job you have, but in the jobs you

can get. And here, some people (highly skilled)

are much better prepared for this than others

(low skilled), which could lead to growing ine-

qualities.

The welfare state is supposed to counteract

inequalities by redistribution and protecting

against certain risks. At the same time, the wel-

fare state itself is based on social stratification,

which more or less privileges gainful employ-

ment. Digitalisation results in new challenges.

Particularly stratified welfare states (i.e.

Germany, France, Italy) are more likely to pro-

duce a digital divide between those who have

the necessary skills to find their way around the

digital environment and those who do not have

those skills and are therefore more exposed to

the dangers of work casualisation. Digitalisation

in this situation does not alter the demand for

work equally across all skills levels, but rather has

a polarising effect. While demand rises in highly

skilled areas, it falls for non-manual routine work

(Arntz

et al

., 2016), as new production and

Chart 2.

Digital Economy and Society Index 2017

Source:

European Commission, Digital Scoreboard.

Denmark

Finland

Sweden

Netherlands

Belgium

Estonia

Luxembourg

United Kingdom

Ireland

Austria

Malta

Lithuania

Spain

Germany

Portugal

European Union 28

France

Slovenia

Czech Republic

Latvia

Cyprus

Slovakia

Hungary

Poland

Croatia

Italy

Greece

Bulgaria

Romania

1 Connectivity

2 Human Capital

3 Use of Internet

4 Integration of

Digital Technology

5 Digital Public

Service

80

70

60

50

40

30

20

10

0

Digital Economy and Society Index

weighted score

Legend