References

This database has been compiled to provide a searchable repository on published research addressing “future skills” that will be a useful tool for researchers and individuals interested in the future of work and the future of skills.

The database integrates existing bibliographies focused on future skills and the future of work as well as the results of new ProQuest and Google Scholar searches. The process of building the database also involved consultations with experts and the identification of key research organizations publishing in this area, as well as searches of those organizations’ websites. For a more detailed explanation of how the database was assembled, please read the Future Skills Reference Database Technical Note.

The current database, assembled by future skills researchers at the Diversity Institute, is not exhaustive but represents a first step in building a more comprehensive database. It will be regularly updated and expanded as new material is published and identified. In that vein, we encourage those with suggestions for improvements to this database to connect with us directly at di.fsc@ryerson.ca.

From this database, we also selected 39 key publications and created an Annotated Bibliography. It is designed to serve as a useful tool for researchers, especially Canadian researchers, who may need some initial guidance in terms of the key references in this area.

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Reference

What now? Opportunity lost

Canada’s poor productivity performance is holding back improvements in its standard of living, including wages. In particular, labour productivity has been virtually stagnant since 2000.¹ For the last few years, Canada’s Gross Domestic Product (GDP) per capita has hovered about $14,000 below that of the U.S.² In advanced services, manufacturing and energy industries, the workforce in the U.S. is twice as productive as Canada’s. The usual solutions to improved productivity include investing in more capital items such as machinery and information and communication technology or asking people to work harder. These solutions are not working. As more routine tasks are being assigned to machines, people are being asked to do more thinking, problem-solving and relational tasks. Rather than becoming less important, cognitive skills are becoming more important. It is clear that the Canadian economy needs to increase investment in another kind of capital: human capital. Working smarter, not harder can improve both productivity and economic growth. Working smarter requires the skills to learn new ways of doing things. Advanced literacy skills increase a person’s ability to learn easily and efficiently. New evidence shows that improvements in literacy can also increase productivity and GDP per capita more than ever before. Research also indicates that improving the skills of the people with the lowest levels of literacy provides an even greater boost. Furthermore, Canadian experience has shown that literacy skills can be increased through inexpensive and efficient workplace learning programs.
Reference

Literacy lost: Canada’s basic skills shortfall

Workplaces are changing quickly. Machines or algorithms are replacing some tasks, and new and changing jobs require additional technical skills. To keep pace with these changes in current and future jobs, the ability to keep learning is the most important basic skill for any job. Because literacy is the most important “learning to learn skill,” Canada’s workforce requires high levels of literacy. However, many Canadian workers have poor literacy skills.
Reference

Better, faster, stronger: Maximizing the benefits of automation for Ontario's firms and people

Ontario faces a dual challenge: automation technologies have the potential to improve productivity and competitiveness, and to generate more jobs and prosperity over the long term, yet many Ontario firms have hesitated to invest. At the same time, when firms adopt automation technologies, the disruption to jobs and tasks—and thus to workers’ income and well-being—can be significant. For Ontario firms and workers to thrive in the age of automation, we need to find ways to increase firms’ lagging adoption of automation technologies, while also equipping workers with skills and opportunities to adapt and thrive in a changing labour market. This report provides a grounded and detailed picture of the extent and nature of automation trends in Ontario and identifies strategies to help public, private and non-profit sector actors navigate this dual challenge. Rapid technological advances, particularly in artificial intelligence (AI), have heightened concerns about automation and the potential for job loss. These concerns have prompted a number of studies—each pointing to a large proportion of jobs or tasks that are susceptible to automation. While useful in highlighting an issue that deserves attention, the studies tend to overemphasize the risks of automation. First, most focus on whole economies, overlooking how impacts will vary by region, sector, firm and worker. Second, they tend to focus narrowly on jobs and tasks that could be automated by existing and emerging technologies in theory, and do not analyze the many factors that affect firms’ decisions to automate and thus the actual rate of automation in the economy. Finally, these approaches tend to focus more on the potential for automation to eliminate jobs or tasks, and less on the potential to augment or create jobs and enhance firm productivity and competitiveness. To fill these gaps in understanding, this report offers a more granular and nuanced understanding of automation in the Ontario context, and of the dual challenge it presents. It closely examines two sectors that are broadly representative of Ontario-wide trends—manufacturing, and finance and insurance—and explores the experiences and perceptions of Ontarians from different communities. The analysis draws on relevant data, existing literature, interviews with over 50 stakeholders from the two sectors, and engagement of over 300 Ontarians through interviews, public consultations and an online survey. This report is also informed by the guidance offered by an Expert Advisory Panel of 14 individuals with academic, technological, and industry expertise.
Reference

Better, faster, stronger: Maximizing the benefits of automation for Ontario’s firms and people

This report explores the risks and rewards automation poses for industries and workers in Ontario by examining trends in the economy as a whole, gathering local insights from across the province, and conducting an in-depth analysis of two key sectors in Ontario that are broadly representative of these trends — manufacturing and finance and insurance. This report outlines the dual challenge technology advances present to Ontario’s economy — to simultaneously improve lagging technological adoption, while mitigating its negative impacts for some workers — and proposes a bold strategy to meet this challenge head on.
Reference

Automation across the nation: Understanding the potential impacts of technological trends across Canada

Technological trends come with benefits and risks. On the one hand, they should be viewed as a major driver of economic growth and prosperity. On the other, technology poses potential risks – notably for workers responsible for job tasks that can now be automated. As a large, economically diverse country, Canada will experience an uneven distribution of the risks of technological trends. This data insights report begins to identify how susceptible Canada’s different regional economies to automation. It aims to inform the design of policies and programs that seek to mitigate the potential negative impacts associated with rapidly advancing technology. This report is part of a series focused on the tension between innovation driven growth and inclusive economic growth, with a focus on the future of work and skills.
Reference

The talented Mr. Robot: The impact of automation on Canada’s workforce

Emerging technologies, such as artificial intelligence and advanced robotics, have the potential to fundamentally change our work and daily lives. In recent years, the understanding of how these technological trends will impact employment has been at the forefront of many recent public debates. Each week there seem to be more and more articles being released about how “robots are taking our jobs.” For the most part, this rich discussion has been driven by the work of many prominent academics and researchers. Unsurprisingly, there are many competing viewpoints. Some argue that disruptive technology will be the driving force behind massive unemployment. Others posit that any potential job loss will likely be o‑set by productivity increases and employment growth. Despite the extensive literature, this discussion is largely taking place without the use of Canadian data. Although, we know that Canadians are not immune from the effects of automation, and that technological trends will likely have enormous implications for many Canadian industries. But the gap in Canadian-specifi­c knowledge often means that we lack the tools to understand the impact of automation within our own borders. This limits our ability to begin to plan for potential disruption. We therefore felt that it would be useful to apply the ­findings from the existing literature to the Canadian workforce. To do so, we used methodologies both from both Oxford professors Carl Benedikt Frey and Michael A. Osborne and from management consulting ­rm McKinsey & Company, which have been employed in other jurisdictions, and applied them both to Canadian data for the fi­rst time. It is our goal to help Canadians better understand the effects that automation can have on our labour force. Overall, we found that nearly 42 percent of the Canadian labour force is at a high risk of being affected by automation in the next decade or two. Individuals in these occupations earn less and are less educated than the rest of the Canadian labour force. While the literature suggests that these occupations may not necessarily be lost, we also discovered that major job restructuring will likely occur as a result of new technology. Using a different methodology, we found that nearly 42 percent of the tasks that Canadians are currently paid to do can be automated using existing technology. But the data does not paint an entirely negative picture. Using the Canadian Occupation Projection System (COPS), we found that the occupations with the lowest risk of being affected by automation are projected to produce nearly 712,000 net new jobs between 2014 and 2024. As with any type of forecasting exercise, there are always going to be uncertainties associated with the predictions. However, we do hope that this study provides a tool to help guide future decision-making.
Reference

Future-proof: Preparing young Canadians for the future of work

There are a number of major trends that have the potential to shape the future of work, from climate change and resource scarcity to demographic shifts resulting from an aging population and immigration. This report focuses on the need to prepare Canada’s youth for a future where a great number of jobs will be rapidly created, altered or made obsolete by technology. Successive waves of technological advancements have rocked global economies for centuries, reconfiguring the labour force and giving rise to new economic opportunities with each wave. Modern advances, including artificial intelligence and robotics, once again have the potential to transform the economy, perhaps more rapidly and more dramatically than ever before. As past pillars of Canada’s economic growth become less reliable, harnessing technology and innovation will become increasingly important in driving productivity and growth. 1,2,3 The primary burden of realizing this enormous opportunity rests on the shoulders of Canada’s young people. To succeed in the knowledge economy, the pipeline of young talent will need to be dynamic and resilient, equipped with a broad suite of technical and soft skills. While youth are always the cornerstone of a country’s future workforce, the rapid pace of technology-driven change makes the task of effectively integrating them into the labour force more challenging—and more critical—than ever before. Failure to do so will not only inhibit Canada’s economic growth but may result in a large swath of the population being left behind in the knowledge economy. Youth are entering a labour market where job requirements are becoming more complex. Entry-level jobs are at a high risk of being impacted by automation, yet work experience is more important than ever. At the same time, underemployment, part-time, and precarious work are becoming more prevalent. As a result, it is becoming more challenging for youth to seamlessly enter the labour force.
Reference

The rise of robots: Why the future of jobs in Canada isn't all doom + gloom

Today, it seems there is nothing that technology can’t do. Computers charged with artificial intelligence (AI) are outplaying our best and brightest, a fleet of driverless trucks has driven across Europe, robots are even helping to serve food and conduct job interviews. Despite the seemingly limitless promise of technology, there is a wide held belief that our ability to imitate and even improve on what humans can do using technology has actually begun to make human labour obsolete in many areas. This has more people worried about their jobs than ever before. But what does this actually mean for the future of work? When examining the impact of automation on the labour force, there are essentially two schools of thought.
Reference

Future of work annotated bibliography

The following is an annotated bibliography of reports on the future of work, produced by the Labour Market Information Council (LMIC). The annotated reports are from a variety of sources, with an emphasis on Canadian studies. To ensure relevance, LMIC focuses on reports that were produced within the last decade, with some exceptions where warranted. Note: Highlighted entries indicate new or updated entries since version 2.3.