Will robots really steal our jobs?
An international analysis of the potential long term impact of automation PwC 7
The potential for disruption to labour markets due to advances in technology is not a new phenomenon. Most
famously, the Luddite protest movement of the early 19
th
century was a backlash by skilled handloom weavers
against the mechanisation of the British textile industry that emerged as part of the Industrial Revolution
(including the Jacquard loom, which with its punch card system was in some respects a forerunner of the
modern computer). But, in the long run, not only were there still many (if, on average, less skilled) jobs in the
new textile factories but, more important, the productivity gains from mechanisation created huge new wealth.
This in turn generated many more jobs across the UK economy in the long run than were initially lost in the
traditional handloom weaving industry.
The standard economic view for most of the last two centuries has therefore been that the Luddites were wrong
about the long-term benefits of the new technologies, even if they were right about the short-term impact on
their personal livelihoods. Anyone putting such arguments against new technologies has generally been
dismissed as believing in the ‘Luddite fallacy’.
However, over the past few years, fears of technology-driven job losses have re-emerged with advances in
‘smart automation’ – the combination of AI, robotics and other digital technologies that is already producing
innovations like driverless cars and trucks, intelligent virtual assistants like Siri, Alexa and Cortana, and
Japanese healthcare robots.
While traditional machines, including fixed location industrial robots, replaced our muscles (and those of other
animals like horses and oxen), these new smart machines have the potential to replace our minds and to move
around freely in the world driven by a combination of advanced sensors, GPS tracking systems and deep
learning - if not now, then probably within the next decade or two. Will this just have the same effects as past
technological leaps – short term disruption more than offset by long term economic gains? Or is this something
more fundamental in terms of taking humans out of the loop not just in manufacturing and routine service
sector jobs, but more broadly across the economy? What exactly will humans have to offer employers if smart
machines can perform all or most of their essential tasks better in the future
? In short, has the ‘Luddite fallacy’
finally come true?
This debate was given added urgency in 2013 when researchers at Oxford University (Frey and Osborne, 2013)
estimated that around 47% of total US employment had a ‘high risk of computerisation’ over the next couple of
decades – i.e. by the early 2030s.
However, there are also dissenting voices. Notably, Arntz, Gregory and Zierahn (OECD, 2016) re-examined the
research by Frey and Osborne and, using an extensive new OECD data set, came up with a much lower estimate
that only around 10% of jobs were under a ‘high risk
of computerisation’. This is based on the reasoning that
any predictions of job automation should consider the specific tasks that are involved in each job rather than
the occupation as a whole
.
In an earlier article in March 2017
we produced our own analysis of the potential effect of automation on jobs
with a focus on the UK. Using a more refined version of the OECD methodology, we concluded that up to 30%
of UK jobs could be impacted by automation by the 2030s. We also produced high level comparisons suggesting
somewhat lower potential automation rates in Japan and somewhat higher rates in Germany and the US.
Martin Ford, The Rise of the Robots (Oneworld Publications, 2015) is one particularly influential example of an author setting out this
argument in detail. Calum Chace (The Economic Singularity, 2016) also discusses these issues in depth.
In both studies, this is defined as an estimated probability of 70% or more. For comparability, we adopt the same definition of ‘high
risk’ in this report.
The importance of looking at tasks is also emphasised by Autor (2015).
‘Will robots steal our jobs?’ PwC UK Economic Outlook, March 2017, available here: https://www.pwc.co.uk/economic-
services/ukeo/pwcukeo-section-4-automation-march-2017-v2.pdf.