Tag Archives: automation

Made in China 2025 Objective: Let a Million Robots Bloom!

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Nightmare on Fleet Street: Journalists ‘Usurped By Robots’! #ArtificialIntelligence

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Specialists Without Spirit: Millennials Lacking Soft Skills ‘Are Interchangeable With Robots’!

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Fonduenomics + OECD Predictions to 2060 = Giant Challenge for Students

Making long-term predictions is one of the toughest games in town, if only because the Really Big Events that end up defining eras tend to catch most analysts by surprise; this makes mastering the art of projection all the more valuable. It was therefore with great interest that we at Mediolana came across the estimated ‘roadmap’ for the global economy to 2060 prepared by no less an entity than the Organisation for Economic Co-operation and Development (‘OECD’). This document, which was published as recently as the summer of 2014, contains a number of insights that are vital to every student enrolled in formal education. After some contemplation, we have evaluated the following as indisposable:

  1. Low Growth. Global economic growth will slow to 2.7% per annum. Already, ‘engine’ countries such as China – which were routinely recording annual expansion figures of >10.0% until only a few years ago – are sliding into relative ordinariness; the Japanese precedent is especially salient in this context. The OECD projection therefore largely mirrors that of our own Fonduenomics model, which was first promulgated back in 2011.
  2. Unequal Distribution. The growth figure of 2.7% is not a great one, but it looks much worse when one realises that the distribution of this growth will be highly uneven: inequality is expected to climb by 30%, and even the most equitable countries will be dragged down.
  3. Technology. The next wave of automation will affect medium-skilled jobs, making the possession of high-level education and skill sets all the more mandatory. Those who do not have the right preparation for the labour market will confront extreme difficulties; those who do will take an increasingly-disproportionate share of total wealth.

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The Time is Nao: Does Softbank’s New Robot Signal An Era of Mass Youth Unemployment?

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Back in the mid-2000s – an era when technology seemed impossibly benign by today’s infinitely more circumspect context – our Creative Director & CSO spotted an invention that totally captivated him: a robot by the name of Qrio. Whereas most electronic humanoids of that era behaved and interacted in ways which were anything but human, Qrio – developed by the Japanese corporation Sony – possessed that barely-definable magic by which illusion can be suspended. It performed actions such as walking, climbing stairs and throwing in a way that was totally endearing and indicative of a massive future; the shelving of the Qrio project remains one of the great corporate mysteries of our time (and perhaps typifies Sony’s alarming decline).

A decade on, another Japanese corporation – the telecoms and finance giant Softbank – is installing another small, humanoid robot by the name of Nao in a select number of branches of Mitsubishi UFJ Financial Group from April 2015. But Nao is no ingenious prototype yet to enter production: he is being put to work as a customer assistant. Despite being just 0.58m tall and much less convincing than Qrio, Nao – which was developed by the Paris-based Softbank subsidiary Aldebaran Robotics in 2006 – has impressive technical specifications. He speaks 19 languages and can analyse customers’ emotions successfully enough to have detailed conversations with them on certain clearly-defined topics.

The development of what have been termed ‘non-human resources’ is meant to be a boon for Japan, given the country’s stubborn and possibly suicidal refusal to countenance immigration reforms to remedy its anaemic birthrate: robots such as Nao will help plug the chasms in labour force sectors such as healthcare and other service industries.

But – at least on this occasion – what is good for Japan is not necessarily good for the world. Once employers twig that large occupational categories can be largely or completely fulfilled by utilising robots, the ensuing worldwide wave of ‘deep’ automation is likely to have devastating consequences, particularly those without the educational qualifications and/or technical expertise to insulate themselves from this tsunami.

Dealing with all-too-messy humans – who require salaries, insurance and social benefits – will be an obligation that many enjoying privileged positions in power structures will be only too happy to rid themselves of. Education – which is the one weapon that can protect against this impulse – has rarely had a better justification.

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