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4 TECHNOLOGICAL TRANSFORMATION 41
Consider, for example, the case of Indonesia. In Indonesia, there
have been numerous media reports related to automation and employ-
ment impacts (e.g. Deny, 2017; Jakarta Globe, 2017; Jefriando, 2017;
Praditya, 2017; Saragih, 2017; Tempo, 2015, 2016a, 2016b, 2016c,
2017; see also international press such as The Guardian, 2016). The
McKinsey Global Institute (2017b) estimates that around half of all jobs
in Indonesia are automatable using existing technologies. One exam-
ple is that motorway toll booths are being automated to an e-payment
system which has placed a question over 20,000 jobs, leading the
Minister of Finance to announce at the annual meeting of the
International Monetary Fund and the World Bank that automation
might create a case for a future universal basic income in Indonesia
(Jakarta Post, 2017; Jefriando, 2017).
While formerly each tollgate required five employees working in shifts
to ensure vehicles had paid the road toll, the cashless system which is
being rolled out runs entirely without human operators, thus speeding
up the transaction process and reducing traffic congestion. Yet, as of
early 2018, the toll road operator PT Jasa Marga asserts that “former
tollgate keepers would instead be relocated to different positions within
the company (…) and would keep their permanent employee status”
(Aisyah, 2017).
There have, indeed, so far, been no reports of mass lay-offs despite
the electronic system being implemented. What could be the reason?
First, it could be that, as implementation is still in an early stage, lay-offs
may be a matter of time, and could happen in a gradual manner. The
company may also reduce its future intake of new employees as a result.
Second, it could be that, in line with the quote above, PT Jasa Marga,
which is currently expanding its business, truly has the capacity to absorb
20,000 people in other sectors of its operation. If that is the case, this
raises the important question as to whether by raising overall productiv-
ity and competitiveness, automation somehow allowed the company to
expand. The latter would mean that automation has the double effect of
reducing labor demand per unit of capital in one domain (e.g. manual
toll collection) while raising labor demand in complementary domains
(e.g. administrative or construction tasks).
Finally, there is a set of institutional reasons that could be an impor-
tant explanatory factor as to why PT Jasa Marga—a state-owned
enterprise and thus facing potential developmental obligations—has
not laid off workers: political and social-norms pressures as well as
Disrupted Development and the Future of Inequality in the Age of Automation