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February 2015<br />

Citi GPS: Global Perspectives & Solutions<br />

59<br />

The bulk of service occupations in the US,<br />

where most US job growth has occurred in<br />

the past decades, are now at risk<br />

Low-skill and low-income jobs are for the<br />

first time at risk of being automated<br />

More surprising perhaps, is the finding that the bulk of service occupations, where<br />

the most US job growth has occurred over the past decades, are now at risk.<br />

Already the market for personal and household service robots is growing by about<br />

20% annually — a trend that is likely to continue. 81 As machines get better at<br />

performing tasks involving mobility and dexterity, the pace of displacement in<br />

service occupations is likely to increase even further.<br />

Although there is a growing popular perception that computers now mainly<br />

substitute for cognitive work, the victory of IBM’s Deep Blue computer over chess<br />

grandmaster Garry Kasparov, or Watson’s ability to outperform humans at US game<br />

show Jeopardy!, does not mean that most skilled jobs are now at risk. On the<br />

contrary, skilled jobs are relatively safe.<br />

Instead, as shown in Figure 46 and Figure 47, low-skill and low-income jobs are<br />

now for the first time most likely to be automated. This implies a break from the<br />

trends we have seen in the past. While 19 th century manufacturing technologies<br />

largely substituted for skilled labour through the simplification of tasks, the computer<br />

revolution of the 20 th century caused a hollowing-out of middle-income jobs. Our<br />

estimates thus predict a shift from the computerisation of middle-income jobs, to<br />

computers mainly substituting for low-income, low-skill workers over the next<br />

decades.<br />

Figure 46. Relationship between occupations at risk and education<br />

60%<br />

Figure 47. Relationship between occupations at risk and wages<br />

$80<br />

Bachelor's degree or better<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

0%<br />

0.0 0.2 0.4 0.6 0.8<br />

Probability of Computerisation<br />

Source: Frey & Osborne (2013) Source: Frey & Osborne (2013)<br />

Average median wage (,000's)<br />

$60<br />

$40<br />

$20<br />

$0<br />

0.0 0.2 0.4 0.6 0.8<br />

Probability of Computerisation<br />

The common denominator for low-risk jobs is that they are intensive in social and<br />

creative skills. In particular, generalist occupations requiring knowledge of human<br />

heuristics, and jobs involving the development of novel ideas and artifacts, are not<br />

yet readily automatable. The reason is simple: computers do not yet have the<br />

human ability to engage in complex interactions, such as negotiating and<br />

persuading, and while they can now solve most crisp problems, they are not as<br />

good at developing original ideas.<br />

As a result, most management, business, and finance occupations, which are<br />

intensive in work requiring social skills, but also most jobs in education and<br />

healthcare, are not fully automatable. The same is true of occupations that involve<br />

developing original ideas, such as many jobs in arts, media, engineering and<br />

science.<br />

81 MGI (2013)<br />

© 2015 Citigroup

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