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The Economic Impact of the Robotic Revolution

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The Economic Impact of the Robotic Revolution The Economic Impact of the Robotic Revolution by Colin Lewis , February 19, 2014 Whilst the word ‘robot’ generally conjures up visions of humanoids with superior intelligence, this science fiction image tends to forget the other type of robots: machines that carry out complicated motions and tasks, such as automated software processes1, industrial robots, unmanned vehicles (driverless cars, drones) or even prosthetics. And it is principally the programmable machine robots that are among the robotic advances being acquired by major companies across the globe2. These are also the robotic technologies that are disrupting commercial production and employment, and will likely continue to do so over the remainder of this decade. Many economists and technophobes claim automation and technological progress has broad implications for the shape of the production function, inequality, and macroeconomic dynamics. However, robotics is also adding hundreds of thousands of jobs to the payroll across the globe, and it may just be that people have not yet acclimatized to the new jobs and skills required to do them. Job displacement and skill gaps In his magical science fiction classic, The Hitchhiker’s Guide to the Galaxy, Douglas Adams wrote about the ‘B’ Ark. The ‘B’ Ark was one of three giant space ships built to take people off the ‘doomed’ planet and relocate them on a new one. The inhabitants of ‘B’ Ark included: “tired TV producers, insurance salesmen, personnel officers, security guards, public relations executives, management consultants, account executives, and countless others.” These were essentially people displaced from the workplace by automation. Douglas Adams explained that there were three space ships, each designated for a different type of person: “the idea was that into the first ship, the ‘A’ ship, would go all the brilliant leaders, the scientists, the great artists, you know, all the achievers; and into the third, or ‘C’ ship, would go all the people who did the actual work, who made things and did things; and then into the `B’ ship – that’s us – would go everyone else, the middlemen.” We later discover the planet was not in fact doomed, nor did the other two giant spaceships, ‘A’ Ark and ‘C’ Ark depart the planet. MIT Economist David Autor and his co-authors echo Adams point that technology is displacing the ‘middle-class,’ writing that automation has: “Fostered a polarization of employment, with job growth concentrated in both the highest and lowest- paid occupations, while jobs in the middle have declined.” This job polarization has in fact contributed significantly to income inequality. Research by Lawrence Katz Professor of Economics at Harvard also shows the ‘hollowing out’ of middle skilled jobs due to technological advances. A recent paper by Carl Frey and Michael Osborne of Oxford University concludes that 47 per cent of US jobs are at high risk from automation. It’s not all doom and gloom for those with ‘middle skills’ and the MIT and Harvard researchers do allude to an increase in jobs and income for the ‘new artisans,’ a term coined by Professor Katz to refer to those who ‘virtuously combine technical and interpersonal tasks.’ Expanding upon this, Professor Autor expects that ”a significant stratum of middle skill, non-college jobs combining specific vocational skills with foundational middle skills – literacy, numeracy, adaptability, problem-solving and common sense – will persist in coming decades.” Those skills according to Autor will provide employment for: “Licensed practical nurses and medical assistants; teachers, tutors and learning guides at all educational levels; kitchen designers, construction supervisors and skilled tradespeople of every variety; expert repair and support technicians; and the many people who offer personal training and assistance, like physical therapists, personal trainers, coaches and guides. These workers will adeptly combine technical skills with interpersonal interaction, flexibility and adaptability to offer services that are uniquely human.” Skill-biased technological change is not a new phenomenon. Joseph Schumpeter termed it Creative Destruction. Writing at the time of the Great Depression in the 1930’s, he said the prime cause of economic development was entrepreneurial spirit: “Without innovations, no entrepreneurs; without entrepreneurial achievement, no capitalist returns and no capitalist propulsion.” Many smart people of that time believed that technology had reached its limits and capitalism had passed its peak. Schumpeter believed the exact opposite, and of course he was right. Technology changes, economic principles do not. As demand for one set of labor skills declines, demand for a new set of skills grows, often with better pay. Why are big corporations buying robotic companies? Major corporations, and creative destructors, such as Google, Amazon, Apple, Inc. have made headlines recently with their acquisitions of Robot and Deep Learning companies, the use of Machine Learning technology and their Artificial Intelligence aspirations. What exactly do these corporations want with robots and Artificial Intelligence, and how does it impact society? Machine learning Andrew Ng, a Professor at Stanford University and Google fellow who teaches a popular Coursera (online free education) class in Machine Learning, says: “In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.” Machine learning technology helps the machine to learn and remember things, or to act ‘without being explicitly programmed.’ It is the science (or art) of building algorithms that can recognize patterns in data and improve as they learn. For example, it may use your last search queries and current location to improve new search results, effectively providing enhanced search results. Whilst machine learning is used extensively across companies such as Facebook, Google, LinkedIn, Netflix, Twitter, Apple, Adobe, Microsoft and many more, it’s not just the tech companies that are seeing the benefits. Machine learning technology is much in demand across industry with proven results at Wall Street Investment banks, insurance companies and motor manufacturers such as Toyota and Tesla Motors. Machine learning and health IBM’s Watson is possibly the most famous example of a system using machine learning through its triumph at the popular TV gameshow Jeopardy. Watson is now aiding researchers and medical practitioners, and is (or will soon be) the world’s best diagnostician for cancer related ailments. Having machines assist medical practitioners and researchers could significantly improve diagnoses and treatments for patients. Additionally these technologies will become more pervasive through wearable devices, such as Google Glass, Android phones, Apple’s iPhone or maybe a new Apple ‘iHealth’ gadget using its M7 motion sensing technology to monitor our health on the go. I personally believe that significant improvements will be made in people’s health and wellbeing through improved technology advances, robotic treatments in hospitals, such as the operating theater and prescription services, improvement of assisted devices and prosthetics for those with disabilities and on a very large scale wearable technology. Machine learning and robotic technology will be central to this health revolution. Machine learning is a game changer for those companies that implement its technologies successfully. Jobs for people with machine learning technology skills are and will continue be much in demand in the coming decade, particularly in industries where ‘Big Data’ factors heavily. Industrial robots In March 2012, Amazon announced the $775 million cash acquisition of Kiva Systems, a warehouse automation robot, and some seventeen months later, in October 2013, Amazon CEO Jeff Bezos noted that they had “deployed 1,382 Kiva robots in three Fulfillment Centers.” Amazon has approximately 52 fulfillment centers spread across 8 countries with at least another 12 announced to be open in the next 9 months. The rollout of Kiva robots across these fulfillment centers will have a significant strategic benefit to Amazon as it moves towards its goal of becoming the world’s largest retailer. So fart this rollout has not reduced the number of employees at Amazon. In fact, Amazon continues to significantly grow its number of employees: last year Amazon added 20,000 full-time employees to its US fulfillment centers alone and this week announced a further recruitment drive of an additional 2,500 full time US fulfillment staff, indicating a 30 percent pay premium over traditional retail jobs. At the end of December 2013 Amazon employed 117,300 full and part-time employees globally (excluding contractors and temporary personnel). This is more than four times the 28,300 employees it reported on June 30th 2010, just three and half years ago. An increase of 89,000 jobs. Kiva, together with the right qualified employees, provides Amazon the ability to cut its fulfillment costs, double its productivity, and increase its service levels. Industrial robot manufacturers are reporting between 18 percent and 25 percent growth in orders and revenue year on year. Whilst some jobs will be displaced due to the increased rollout of robots
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