Teaching and Learning in Disruptive Futures: Automation, Universal Basic Income, and Our Jobless Futures*
Dr. Sohail Inayatullah
UNESCO Chair in Futures Studies Tamkang University
Abstract: Given the likely disappearance in jobs due to automation, how should national educational departments best prepare? Four scenarios are explored. In the first future, educators assume youth – high school and university students
- will have one job, one career and live in one nation. No change to policy is made. In the second future, through national broadband networks, the speed of access to information changes, but there is no real change in social infrastructure. Academic hierarchy continues. Classrooms remain ordered in rows. In the third future, the issue will be how to teach and train for the emerging jobs – robotics, care for the aged, for Flexibility and adaptability is critical in this future. In the last radical future, teaching and training is for a world after jobs, where capitalism has transformed, if not ended.
The Challenging Forecast
RECENT report by the Foundation for Young Australian provides three dramatic forecasts for 2030 (Brown, 2015). These are:
- 44 per cent of jobs will be automated in the next 10 years
- 60 per cent of students are chasing careers that won’t exist
- Young people will have an average of 17 different jobs
In a similar vein, the World Economic Forum forecasts in its report, The Future of Jobs that forecasts that five million jobs will disappear because of automation (World Economic Forum, 2016). Not just factory jobs, but office workers as well as professionals in law and accounting will also be hit. Mckinsey and Co assert that 45% of “today’s workplace activities could be done by robots” (Wright, 2016). In Australia, The Committee for Economic Development in Australia argues that 60% of all jobs in rural and regional Australia are at risk by 2030 (Tuffley, 2015). The International Labour Organization predicts that as Adidas shifts shoe production back to Germany (robots are far more cost competitive than labour) that up to 90% of Southeast Asian workers could face unemployment due to automation (Hoskins, 2016). More recently, Bank of England Governor, Mark Carney warned that: “up to 15 million of the current jobs in Britain – almost half of the 31.8 million workforce – could be replaced by robots over the coming years as livelihoods were mercilessly destroyed by the technological revolution.” He argued that not just administrative, clerical, and production staff would be under threat but entire professions such as accounting would likely disappear (Duncan, 2016). And going further, Ruchir Sharma, chief global strategist at Morgan Stanley Investment Management, argues that “before long economists [will] be worrying about a global shortage of robots (Sharma, 2016).
Back to the 1990s
While forecasts like these are normally reserved for predictive futurists, the dramatic nature of disruption that the world has experienced the last few decades has made change the norm. If we go back twenty years ago to the early 1990s, a number of significant changes were just commencing that have been instrumental in creating the world we live in today. These included:
- The fall of the Berlin wall, the breakdown of the Soviet Union and the eventual integration of much of Eastern Europe into the European
- The beginning of the world wide web creating a world where the pivotal issue today is the virtual entering the material world – “leaving the screen”, the creation of the internet of things, persons and systems – the full digitization of information and the perhaps the realization of the hundred year dream of the HG Well’s: The World Brain (Wells, 1938).
- The beginning of the human genome project, creating a world where prevention becomes the norm and every citizen of wealthy nations born in 2025 could receive a full life map of personalized genetic risk factors.
- The rise of China (and to some extent India), with China moving from a peripheral global economic player – from twenty billion in foreign reserves to nearly four trillion i to the largest economy in the world (Inayatullah, 2015). The beginning of ageing throughout the Western world and East Asia, leading to a number of issues, including depopulation with entire European villages for sale for under 100,000 euros, lifelong learning, and the quite dramatic shift from there being enough young people to pay for the pensions of the aged, to there being a lack of young people to pay for pensions (Kassam, 2014 and NPR, 2015). The lack of young people impacts not just the superannuation formula (the worker-retiree ratio) but decreasing enrollments in the education sector, among other
- The beginning of what we now call international terrorism with the Arab CIA recruits eventually becoming Al-Qaeda, uniting with the Taliban, and further disruptions in Iraq and Syria leading to the rise of Daesh. The result of the inability of finding a geopolitical solution in Syria, leading to the largest refugee crisis in Europe since World War Two; indeed, calling into question the entire European project. With Russia an active player in the conflict in the Middle-East, we can easily anticipate Afghanistan 2.0. And with the rise of Trump, and the European mini-Trumps, an escalation of global conflict appears
- The 90s also began the great boom – from globalization, from the peace dividend, and from the imagination of the “end of history,” of the end of social and political But history as it turned out would not end, instead, a global financial crisis resulted, caused by
- The shift of the world economy to China,
- Disintermediation created by the new digital and robotic technologies,
- The shift from coal and oil to the new renewables,
- Lack of global and national regulation of financial institutions, and,
- Speculative bubbles in
The result for national education policy in many Western nations has been a shift from education as an investment to education as an expense. Governments throughout the world have reduced their expenditures in education, as they deal with increased social security costs (an ageing society) and security costs (from the reality and the imagination of international terrorism) (Inayatullah, 2012).
To deal with the new reality of decreased government subsidies, in 2015, universities find themselves moving toward virtual learning with the intention of having more students with educed labour costs, and continuing to expand to new areas -the emerging markets where the demand for education is insatiable (British Council, 2012). At the same time, to deal with drop in government funding, the workforce is undergoing casualization, with more being demanded for less (Whyte, 2011). In Australia, ‘‘casualization’’ is now 60 percent of the higher education workforce (Luyt et al., 2008). Comparing the university to the garment industry, Patricia Kelly calls casual lecturers ‘‘piece workers of the mind’’ (Kelly, 2011).
The Next Ten Years
These trends are unlikely to stop in the next ten years (EY, n.d.). The number of students enrolled in higher education, for example, is likely to double to 262 million by 2025, with most of the growth in developing nations such as India and China (Maslen, 2012). Over 8 million of these students will travel to other countries (Maslen, 2012). The market size for global education was 2.5 trillion dollars in 2011 and is now 4.4 trillion US dollars (edArabia, 2010). It is expected to continue to grow with e-learning projected to grow by 23% (Cavanagh, 2013).
We can thus expect more digitalization and virtualization (and with holograms and virtual technology) far more high-tech-soft touch experiences. We can also expect the continued globalization of education with providers at high school and university levels coming from all over the world, competing for the student dollar. Major disruptions are likely. Perhaps it will as with uber, lyft, airbnb, snapgoods (Bercovici, n.d. and the Economist, 2013) and other aspects of the sharing economy, where formal providers – the universities – are disrupted by peer-to-peer app based networks. The means a world where learning is where you want it, when you want it, how you want it, at a cheaper cost, and how you might want to learning in the emerging future. Already, we are seeing the advent of predictive avatars and coaches in the Healthcare industry via innovation (Idavatars, n.d.).
Education may also be disrupted by the major players – Alibaba, Google, and Facebook – who could offer degree courses not just for employees or training but doctoral courses. Of course, national accreditation remains the barrier. While this barrier may be feudal, the debate in the next ten years will be can it be broken, can the castle walls of the university be broached by the new tech “Bedouins”? They may be innovators or barbarians, but the castle will be challenged.
And, youth expect this to be so. Having grown up in a digital environment where the user and connectivity adds value, these digital natives are likely to be in positions of executive power throughout the world by 2025-2030. While there are always pendulum shifts to the” good old days” of the industrial era, in 15 years iPad and iPhone will not be considered new technologies, but like chairs and tables, part of the infrastructure, of what is expected (Joy, 2012). Brain- implanted devices will most likely be the norm (Monks, 2014).
But which jobs are least likely to be automated? According to a recent article by the website Planet Money, “mental health and substance abuse social workers” are least like to be replaced as the work involves “cleverness, negotiation, and helping others” (Bui, 2015). As well elementary school teachers are extremely unlikely to be roboticized, while librarians have higher than a 50% chance to be automated. However, as digital natives come to power, the odds for automation are likely to increase (not to mention the pressures from globalization). Moshe Vardi, Director of the Institute for Information Technology at Rice University, asks if we are prepared for “a global economy …with 50% unemployment (Santini, 2016).” Six to ten percent of American jobs will disappear due to driverless cars, to begin with. And as automation spreads through the entire economic system, no profession will be safe (Santini, 2016). Indeed, car ownership will likely shift to a culture of mobility – an integrated network of travel options (Kosoff, 2016). Traditional car companies focused on selling the car as product will find themselves severely challenged. The innovation will be creating and selling mobility options.
However, the above analysis assumes a straight line trend projection, but as there are many uncertainties with respect to the growth of artificial intelligence and our educational response, we need to explore not the future, but alternative futures. It uses Australia as a case study.
Four possible scenarios are likely.
|Scenario title||Teach and Train for the 1950s.||Add a few courses.||Teach and train
for emerging industries.
|Teach and Train
for a world after jobs.
|Systemic change||No curriculum change.||Minor curriculum change.||Focus on emerging futures- major curriculum
|Focus on meaning and purpose with multiple forms of
|Worldview||The Industrial era
|Core myth/metaphor||“Teaching for jobs that no longer
|“Too little, too late.”||“How well do you get along with our
|“Strangers in a strange land.”|
(1) Teach and train for the 1950s
In this future, educators assume youth – high school and university students – will have one job, one career and live in one nation. Focused on the past successes and mired down by party politics, Australia, for example, is unable to shift to a post-industrial economy. Already Australia is ranked a lowly 48 for average internet speed and 60 during peak periods (Lui, 2016). For students and teachers, it will be like living in a prison cell (wasting their time, and when they are free, they will be irrelevant). As the economy shifts, large sectors will disappear. The story line would be: “teaching for jobs that no longer exist.” As William Bossert, a Harvard Professor who taught computer sciences in the 1970s, recently commented: “If you’re afraid that you might
be replaced by a computer, then you probably can be and should be” (Colvin, 2015). Dystopian images of the “last job on Earth” and riots against the new technologies are likely (Riley and Paddison, 2016). However, it is worthwhile remembering that prior to the alarm clock, “knocker- uppers” woke up factory workers by banging on bedroom windows. Transitions to new economic eras are fraught with challenges. Transitional strategies are crucial.
(2) Add a few courses on coding and Asian languages
In this future, through national broadband networks, the speed of access to information changes, but there is no real change in social infrastructure. Academic hierarchy continues. Classrooms remain ordered in rows. Knowledge is about repeating information. The story line would be: “too little, too late”. For students, they will face a disconnect between virtual world/peer-to-peer networks and the formal industrial educational system. They will be physically in class, but mentally far away.
(3) Teach and train for emerging industries
In this future, high schools and universities, indeed, the entire educational system, teaches for the current emerging futures. Retraining is crucial as it was in the shift from agriculture to industrial. For example, farming throughout the developed world was once the largest labour source. In the USA, technological advancements in farming have reduced labour from “10 million in 1950 to 3 million in 2010″ (Hiner, 2015). “Similarly, back in 1901, 200,000 of England and Wales’s 32.5 million people were employed in the clothes-washing business, and by 2011, just 35,000 in a population of 56.1 million are flying the launderers’ flag” (Crew, 2015).
We are in the midst of a similar structural change to the next economic revolution. The curriculum will likely be focused on the following areas (Moran, 2016):
- Peer to peer
- Care for ageing
- Meditation and emotional intelligence
- Software design
- City design
- 3d printing
- The internet of everything
- Solar and wind energy, including smart houses and cities
For example, just recently a young woman advertised on craigslist in New York to become a Pokemon go trainer at US$20 per hour. She would find the Pokemon for you, train you, and do everything else required for the virtual-reality game.
Teaching will be focused on preparing futures not just for the new jobs, but in a world where many traditional jobs will disappear. The focus will be on teaching flexibility as some students will have portfolio careers – what they can do, not positions held – and multiple careers (changing careers every few years). Some will stay focused in one area, but many will wander innovating to create new types of work. Technology will create new categories of jobs, some unimaginable through today’s lenses.
The tag line for this future is: “How well do you get along with your robot?” Students find their needs meet, they are excited about education and blend easily between formal high school and university and their own virtual peer to peer learning frameworks. The value added is not problem solving as computers can do that with ease, but with defining the problem and with being alert to how the nature of the problem keeps on shifting, that is, we are embedded in complex adaptive systems that change as we intervene in the system, as we solve the problem. Indeed, Ruchir Sharma argues that with the rise of robots, we will soon likely learn to “treasure our robots “(Sharma, 2016). Indeed, nations such as Germany, Japan, and South Korea that are already employing robots, the job picture is strong, that is, roboticization will create new types of work (Sharma, 2016). The ability to use, live with, understand, and co-evolve with new emergent technologies will be a critical competitive advantage in this future.
(4) Teach and train for a world after jobs
The fourth future is more radical and imagines a world after jobs. This future takes the forecast by the Foundation for Young Australians seriously concluding that the emerging efficiency, collaborative and sharing economy will likely dominate by 2030. Robotics, the internet of everything and major disruptions will make education no longer about jobs but about purpose, adaptability and meaning.
Techno-optimists argue that smart machines will dramatically economic surplus so “that we could collectively afford to liberate much of humanity from both labour and suffering (Lim, 2016).” With labour transformed, knowledge passing on between generations will not be data based but about the sharing of emotional, spiritual and new forms of intelligence. Says Meg Bear, Vice-president of Oracle, “Empathy is the critical 21st-century skill” (Colvin, 2015). Indeed, the main issue will be: “how well do you get along with your robot” (Fisher, 2015). As AI is best suited for standardized work, performance is not about being like a “lean machine,” but as “good at being a person. Great performance requires us to be intensely human beings,” argues Geoff Colvin in his new book, Human are Underrated. Value comes from the ability “to build relationships, brainstorm, collaborate, and lead” (Colvin, 2015). The shift would not just be from the current corporate model to the sharing economy – Uber – but creating platform cooperativism where drivers own the business – cooperation. Productivity will likely be higher as there is enhanced buy-in. So it is not really the “gig” economy as many argue (a recent report suggests that 40% of U.S. workers will be independent contractors or freelancers by 2020), but a true cooperative economy (Neuner, 2013). Of course, with dis-intermediation, some sectors will likely be run by large state or corporate actors who can control because of the economies of scale. But
the boom will be in platforms that create new value through cooperation. This leads to greater equity and productivity.
Breaching the Castle
However, if we are not careful inequality could spike even more where the owners of robots accrue all the profits and the rest live in a state of fear and despair – perpetual job anxiety. Safety and security is a must. This can emerge from a basic universal income (BIEN, n.d.). This ensures that survival is taken care of so that individuals can focus on “thrival”. Already a number of countries, for example, Finland are beginning to experiment with a universal income (Worstall, 2015). “The Finnish government is currently drawing up plans to introduce a national basic income and if all goes to schedule, Finland will scrap all existing benefits and instead hand out 800 Euros per month—to everyone” (Cowen, 2015). A pilot project will begins for the years 2017- 2018 (Neuvonen, 2016). Scotland will initiate a pilot project in 2017 for selected cities (McFarland, 2016). Ontario is poised to start a basic income project in 2017 (Samuels, 2016).
If developments in robotics continue and universal basic income becomes the planetary norm, it would be a post-scarcity world, where current – 2017 – way of acting and being would be disadvantageous. The tag line for this scenario is: “strangers in a strange land.
Students will find this world, both exciting and threatening. Exciting as it opens up many possibilities, but threatening in that they will need to adjust to and create new forms of physical and knowledge infrastructure. The future will be truly unknown.
Education would have been disrupted in this scenario. The castle would have been breached. The knights – the professors – could go back to what they truly love – reflecting, learning, teaching, and the creation of new knowledge.
Would it become an ecological playground? Perhaps. But once the moat goes down, it is unclear what will emerge afterwards. Perhaps the villagers outside the castle walls may storm inside, or perhaps they will welcome the new global brain.
We shall see. In the meantime, believing that tomorrow will be like today is a precursor to obsolescence.
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*This is an expanded version of a presentation to the Queensland Association of State School Principals, August 25, 2016, Brisbane, Australia.
Dr. Sohail Inayatullah is the UNESCO Chair in Futures Studies. He is a political scientist/futurist at Tamkang University, Taiwan; an Associate at the Melbourne Business School, the University of Melbourne; and Adjunct Professor at the University of the Sunshine Coast, Australia. Inayatullah has authored and co-edited twenty-four books/CD-ROMs, including: What Works: Case Studies in the Practice of Foresight and CLA 2.0: Transformative Research in Theory and Practice. Inayatullah has written more than 350 journal articles, book chapters, encyclopaedia
entries and magazine editorials. His articles have been translated into a variety of languages, including Catalan, Spanish, Urdu, Hindi, Bengali, Italian, Japanese, Russian, Indonesian, Farsi, Arabic, and Mandarin. See also: https://en.wikipedia.org/wiki/Sohail_Inayatullah