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Innovative technologies<br />
Governments must<br />
consider innovative<br />
policies, such as<br />
guaranteed income<br />
Martin Ford<br />
Futurist<br />
Martin Ford is a futurist and the<br />
author of The New York Times<br />
bestselling Rise of the Robots:<br />
Technology and the Threat of a<br />
Jobless Future and The Lights<br />
in the Tunnel: Automation,<br />
Accelerating Technology and the<br />
Economy of the Future, as well as<br />
the founder of a Silicon Valleybased<br />
software development<br />
firm. He has more than 25 years’<br />
experience in computer design<br />
and software development.<br />
@MFordFuture<br />
econfuture.wordpress.com<br />
→ However, when agriculture<br />
mechanised, long-term structural<br />
unemployment did not arrive. Workers were<br />
eventually absorbed by other industries.<br />
Average wages and overall prosperity<br />
actually increased dramatically. This clearly<br />
shows what economists call the Luddite<br />
fallacy – that technological progress will<br />
never lead to broad-based, long-term<br />
unemployment.<br />
The Luddite fallacy holds that as<br />
labour-saving technologies improve, some<br />
workers lose their jobs in the short run but<br />
production also becomes more efficient.<br />
That leads to lower prices for the goods<br />
and services produced, which in<br />
turn leaves consumers with<br />
more money to spend. So<br />
demand increases across<br />
nearly all industries,<br />
creating more jobs. That<br />
seems to be exactly what<br />
happened with agriculture.<br />
Food prices fell as efficiency<br />
increased and consumers spent<br />
their extra money elsewhere, driving<br />
increased employment in manufacturing<br />
and services.<br />
Reaching a tipping point<br />
AI and robotics are general-purpose<br />
technologies. When agriculture<br />
mechanised, other labour-intensive sectors<br />
remained capable of absorbing workers.<br />
There is little evidence to suggest that will<br />
be the case this time around.<br />
As automation penetrates nearly<br />
everywhere, work will disappear. There<br />
must come a tipping point beyond which<br />
the overall economy is not labour intensive<br />
enough to continue absorbing workers<br />
who lose their jobs because of automation<br />
and globalisation. Businesses will then be<br />
able to ramp up production by employing<br />
machines and software. Structural<br />
unemployment becomes inevitable.<br />
50%<br />
of US jobs might<br />
be performed<br />
by machines<br />
by 2033<br />
Automation also creates a serious<br />
problem with consumer demand. If<br />
automation is relentless, the basic<br />
mechanism that gets purchasing power into<br />
the hands of consumers breaks down. That<br />
creates a potential economic scenario of<br />
too few viable consumers to drive economic<br />
growth. Economies would then risk<br />
stagnation or even a deflationary spiral.<br />
Policy reform<br />
In the coming decades, the world will<br />
face the challenge of adapting to this<br />
new reality. The power of AI and robotics<br />
needs to be leveraged for the benefit<br />
of society, finding a way to<br />
mitigate the potential impact<br />
on employment, economic<br />
security and consumer<br />
confidence.<br />
AI is adept at climbing<br />
the skills ladder. Tasks<br />
performed by highly<br />
educated workers such<br />
as journalists, lawyers and<br />
radiologists are already affected.<br />
Relying on the traditional policy of ever<br />
more training and education is unlikely to<br />
be a sustainable solution.<br />
Governments must consider genuinely<br />
innovative policies. One promising idea<br />
is to implement some form of guaranteed<br />
income or universal basic income. All<br />
members of society would have financial<br />
security and the means to contribute to the<br />
consumer demand necessary to sustain<br />
economic growth.<br />
Information technology continues to<br />
advance exponentially and its impact on<br />
job markets could materialise rapidly.<br />
It is important for governments to<br />
initiate research and pilot programmes<br />
designed to test policies that could be<br />
scaled up to enable their economies and<br />
societies to thrive in the event of a major<br />
technological disruption. <strong>G20</strong><br />
94 <strong>G20</strong> China: The Hangzhou Summit • September 2016 G7<strong>G20</strong>.com