Why skills and education are the real robot battleground

SUMMARY:

While robots may sweep aside low-skilled industrial jobs, they will also create new skilled opportunities. Training and education must be the priorities.


This has been a record-breaking year for industrial robotics, says the Robotic Industries Association (RIA) of the US.

In total, over 19,000 industrial robots worth $1 billion were sold in North America alone during the first half of 2017, the highest ever number of orders for the region. The figures reveal a one-third year-on-year increase in shipments for the first two quarters, and a 26% surge in spending.

Orders grew most in the automotive sector, which saw a 39% increase in purchases. Globally, the automotive robotics market is set to expand at a compound annual growth rate (CAGR) of 10.74 per cent until 2021, when it will be worth $8.44 billion, according to figures published by Marketsandmarkets.com. However, some analysts have suggested that a slowdown in the automotive sector may stifle some of that growth.

Either way, this is the fourth year in a row that the US market for industrial robots has broken records. US analysts Inkwood Research forecast that the market for all types of robotic automation will grow to $18.25 billion by 2022, at a CAGR of nearly 63%.

A complex equation

So what are the implications for business, and for human society overall? As I have previously noted, China is a useful yardstick for measuring robotics’ impact, as it is automating faster than any other country. The 66,000 industrial robots China purchased last year represented one quarter of all the robots manufactured in 2016 and can do the jobs of one million full-time workers. Each machine costs little more than a US middle-manager’s annual salary.

However, ‘one robot in, 15 people out’ is not the whole story of employment in an automated world. UK-RAS, the UK’s research organisation for robotics and autonomous systems, recently published its own figures for the US automotive sector, which reveal that although the industry itself purchased over 60,000 industrial robots in a single year, 2015, it created nearly one-quarter of a million new jobs during the same period, with many of them being skilled roles.

Several studies have suggested that as automation increases across nearly every sector of the economy, new job creation will rise too, just as it did in the first waves of digital business and mobility. For example, Amazon – itself a big player in robotics – had less than 45,000 workers when it began its robotisation programme in 2014, but today employs over 90,000 people, with a stated aim to employ 100,000 by the end of 2018.

Like all the preceding ones, this latest wave of disruptive automation is driven by manufacturers’ desire to improve productivity, slash costs, and raise quality. Yet while tactical applications of the technology create unnecessary societal risk, strategic applications open up new roles in designing, building, installing, testing, and repairing robots, along with new opportunities in product customisation, consultancy, customer service, and more.

For example, Rolls Royce is pioneering the use of tele-robotics for remote jet engine repair, allowing skilled engineers in Derby to repair engines on the tarmac in Dallas or Dubai. This creates new job opportunities for robotics technicians on the ground at major airports worldwide – an investment for Rolls Royce, which is paid by the number of hours its engines are in the air, not on the ground.

In the manufacturing sector, industrial robots are evolving fast, from the old model of single-task machines in safety cages to a new paradigm of programmable platforms and ‘cobots’ – robot co-workers that can function safely alongside their human counterparts. In this way, next-generation ‘cobots’ complement human workers’ knowledge, skills, and experience, as their developers intended.

The skills battle

So if it’s true that 66,000 robots can do the jobs of one million low-skilled manual workers, while at the same time creating 250,000 skilled positions (2.5 new skilled workers in, 10 low-skilled workers out), it’s clear that mass unemployment is not the only challenge of the machine age. Two battlegrounds are emerging: education and skills, and the widening economic disparity between those workers who can adapt in a booming high-tech market, and those who will be left behind.

3A, the US Association for Advancing Automation (parent organisation of the RIA), has published its own findings on the skills challenge facing the US manufacturing sector:

Studies show an increasing skills gap with as many as two million jobs going unfilled in the manufacturing industry alone in the next decade. Fully 80 per cent of manufacturers report a shortage of qualified applicants for skilled production positions, and the shortage could cost US manufacturers 11 per cent of their annual earnings.

Manufacturing executives reported an average of 94 days to recruit engineering and research employees and 70 days to recruit skilled production workers. The skills gap is driving up what are already above average wages and benefits in US manufacturing.

In the automation age, as in the computer age before it, job titles shift to reflect the impact of technology. As lower-level tasks are automated with advanced technologies, such as robots, new job titles and industries arise across nearly every economic sector. A recent study concluded that occupations that have 10 per cent more new job titles grow five per cent faster.

Similar challenges will emerge across other sectors as robotics, AI, and autonomous systems spread.

Countless reports chart the robotics boom. For example, the value of the global service robotics market is forecast to reach $3.9 billion by 2022, at a CAGR of over 15 per cent, according to Marketsandmarkets.com. The same analysts report that the market for medical robotics – precision machines designed to complement the expertise of human surgeons – will be worth over $20.5 billion by 2022, from $6.4 billion last year: a CAGR of nearly 22%.

Where will all the drivers go?

Driverless vehicles will be another high-growth sector, as manufacturers old and new battle to invest. In Waymo’s ongoing lawsuit against Uber – which is accused of misappropriating trade secrets and violating Alphabet/Google patents – it was revealed that Google spent $1.1 billion internally on developing self-driving software and hardware between 2009 and 2015 – a similar figure to the amounts spent by Ford and General Motors on buying in driverless technologies.

In the future, the car industry will be as much about Waymo, Uber, and Tesla as it will about GM and Ford. As I mentioned in a previous report, companies like Uber and Lyft have used human drivers to spread their brands and prove the ride-share market, but in the long-term drivers may have no role with them when autonomous vehicles can be summoned with a click.

In the US alone, 3.4 million people earn a living as drivers, using Bureau of Labour statistics for taxi, Uber, bus, school bus, delivery, and truck drivers. There will be further impacts on jobs in vehicle repair, parking, and more, so re-skilling up to three per cent of the entire US workforce – some of whom may be supplementing their income in a gig economy – will be a major challenge. And this is just the impact of automation in a single industry.

Of course, autonomous vehicles won’t eradicate human drivers completely – people will always drive competitively, or for pleasure – but the big picture remains the same.

My take

With the rise of the robots apparently now a foregone conclusion, the global market – estimated to be worth up to $4 trillion over the next decade, including software and AI – will belong to those countries that have the following pieces in play:

  • the foresight and funding to hothouse the domestic development of these technologies
  • the flexibility and imagination to disrupt existing business models, sooner rather than later
  • and the determination to invest centrally in skills, education, and training at globally competitive levels.

 

Image credit - Freeimages.com/Bruno De Lorenzo

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