The Overseas Development Institute (ODI) recently released a paper on Digitalisation and the Future of Manufacturing in Africa.
The
Fourth Industrial Revolution, with increasing use of advanced
technologies such as 3D printing and robotics, is expected to have a
major impact on the manufacturing process globally.
The
paper seeks to answer this question: Are robots taking our jobs? What
ODI’s research found is that it depends on the stage of automation in
the country as well as the strategy the country employs.
The
analysis reveals that African countries have a window of opportunity to
link manufacturing with job creation even as the uptake of automation
becomes more aggressive. There is an inflexion point where the cost of
automation will become cheaper than the cost of labour in manufacturing.
In the USA, the inflexion point is fast approaching and robots
may become cheaper than US labour by 2023, that is in five years.
The
risk of automation taking jobs is even higher in other countries.
Studies indicate that the impact of automation on employment can be
considerable and that 57 per cent of jobs in the OECD, 69 per cent in
India and 77 per cent in China are at risk of being automated.
Coming
back to Kenya, the risk of jobs being automated is less acute because
the inflection point at which automation becomes cheaper than labour
comes in 2034; that is a window of opportunity that is roughly 10 years
longer than in the US.
Ethiopia faces the inflection
point between 2038 and 2042. What this means is that Africa has about a
15-25 year window where labour will remain cheaper than automation,
thereby creating an incentive to shift manufacturing to the continent
due to cheap labour. Human labour rather than robots will continue be
the cheaper option for factory floors in Africa for a while to come.
But
there is another inflexion point that is equally as important; the
point at which robots in other countries become cheaper than African
labour.
The paper predicts that US robot costs will
become cheaper than Kenyan wages (in the furniture sector) by 2033.
Thus, by 2033, using robots in manufacturing in the US will be cheaper
than using Kenyan labour to make the same product.
This
is bad news because as the cost of capital falls for producers in
developed economies, they may find it increasingly efficient to re-shore
production from offshored plants back to their own “smart” factories.
This will mean Africa will no longer be able to use the “cheap labour”
narrative to attract manufacturing to the continent.
This
research points to the reality that African countries must adapt to a
digital future. While there is still window of opportunity where human
labour continues to be cheaper than automation, this window should be
used for two purposes.
The first is to leverage
automation for the creation of new employment opportunities such as
“digital” jobs. Secondly, Africa must begin the process of developing
sectors that are less vulnerable to automation and skill Africans to
work in those sectors.
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