Future and Emerging Technologies

Incorporating the most recent labour market information available, Global Employment Trends for Youth sets out the youth labour market situation around the world. It shows where progress has or has not been made, updates world and regional youth labour market indicators, and gives detailed analyses of medium-term trends in youth population, labour force, employment and unemployment. The 2020 edition discusses the implications of technological change for the nature of jobs available to young people. It focuses on shifts in job characteristics, sectors and skills, as well as examining the impact of technological change on inequalities in youth labour markets.

The technological advances of the Fourth Industrial Revolution have fundamentally altered society in ways both seen and unseen. This digital transformation has changed how people live and work, and everything in-between. One area of daily life, however, seems to be largely missing out on this revolution: infrastructure. It remains one of the least digitally transformed sectors of the economy. While individual examples of highly advanced infrastructure systems exist, the sector at large lags behind others in innovation, a fact made all the more apparent by infrastructure’s ubiquity. When the World Economic Forum Global Future Council on Infrastructure gathered for its annual meeting in Dubai in November 2018, it sought to understand why.As it began to think through solutions, the Council found a situation full of opportunity. Infrastructure is far from being a staid industry devoid of innovation – indeed, new technologies and ideas are flourishing. Integrating these innovations, which could change the way infrastructure is designed, developed and delivered, requires aligning stakeholders, implementing effective strategies and creating fertile enabling environments. This will allow existing innovation into the space and provide opportunities for new ideas.The Council thus decided to create a guidebook, contained here, that explores major questions about how to bring the Fourth Industrial Revolution to infrastructure. The guidebook surveys some of the fundamental issues and provides robust frameworks that can help public- and private-sector decision-makers decide how to create the right enabling environments for their situations. It also contains case studies to help illustrate how public- and private-sector entities can work together to integrate exciting existing technologies into infrastructure and spur the creation of new innovations. Overall, the content illustrates three main imperatives: (1) The importance of focusing on community outcomes, not physical assets: It is tempting to define future infrastructure requirements in terms of specific assets: “this city needs light rail” or “we must expand our motorway” are some examples. Defining projects in terms of social outcomes, such as delivering affordable public mobility between specific points, leaves an opening forechnological innovation to deliver those outcomes. (2) The need to adopt a “flexible architecture” approach to infrastructure planning: The technological transformation of infrastructure can be accelerated by recognizing that, while technology-driven disruption cannot be predicted, it can be allowed for and positively leveraged. Planning traditional infrastructure with a more flexible architecture is a way of achieving this; it allows for change and innovation at the edges while protecting and extending the life of core elements. It also permits the use of policy frameworks to allow new innovations to move from idea to commercial success. (3) The necessity of recognizing and respecting infrastructure’s “data layer”: As the world moves into an era of ubiquitous sensors and an ever-connected internet of things, infrastructure assets will become data assets. These technologies offer great potential to increase the social and economic value of infrastructure assets through predictive maintenance, real-time optimization and peak demand management. Much like traditional infrastructure assets such as airports, utilities and community facilities, these data pools will become highly valuable and highly sensitive assets, requiring owners with the right character operating under the right oversight.For planners and policy-makers, there is potential for enhancing efficiency, value and user experience for the publics they serve. Infrastructure owners have the prospect of improving long-term viability, project development and asset management. Technology providers could develop new innovations, forging new partnerships and technologically transforming a new sector. Using this guidebook, decision-makers can begin the conversation on how technological innovation can be nurtured in infrastructure to continue to meet the callenges of the Fourth Industrial Revolution.

The changing nature of work and labor markets — and how best to prepare society and people for the jobs and tasks of the future — is one of the most crucial public policy challenges that countries and policymakers will face over the coming years. While it is far too early to be able to predict the pace and extent of future automation, we do believe that jobs, tasks, and work itself will evolve at a more rapid pace. We also believe that the future of work will affect each country, region, worker, and student differently. For these reasons, this guide seeks to build a bridge from the voluminous future of work research to the core ingredients of future of work policy that will need to be weighed over the coming years. Through our cross-country comparison of future of work dynamics across four case studies — France, Germany, Spain, and the United States — we highlight core factors and key takeaways. We also make the case for more agile public policies that tailor future of work policies to the specificities of countries, regions, and individuals. Ultimately, this guide serves as a resource for policymakers and citizens everywhere who are interested in exploring the essential elements of future of work policy.

The time may have finally come for artificial intelligence (AI) after periods of hype followed by several “AI winters” over the past 60 years. AI now powers so many real-world applications, ranging from facial recognition to language translators and assistants like Siri and Alexa, that we barely notice it. Along with these consumer applications, companies across sectors are increasingly harnessing AI’s power in their operations. Embracing AI promises considerable benefits for businesses and economies through its contributions to productivity growth and innovation. At the same time, AI’s impact on work is likely to be profound. Some occupations as well as demand for some skills will decline, while others grow and many change as people work alongside ever-evolving and increasingly capable machines.
This briefing pulls together various strands of research by the McKinsey Global Institute into AI technologies and their uses, limitations, and impact. It was compiled for the Tallinn Digital Summit that took place in October 2018. The briefing concludes with a set of issues that policy makers and business leaders will need to address to soften the disruptive transitions likely to accompany its adoption.

Technology in many ways is perfectly conceived to operate in the workplace, bringing an ability to operate around the clock at increasing levels of accuracy and productivity. Since the Industrial Revolution, machines have been the ideal colleague, performing some of the most mind-numbing tasks and freeing up human partners to do more interesting and productive things. However, in the near future, new digital technologies are set to take the next step, graduating from the factory floor to the boardroom and applying themselves to more complex, cognitive activities. Technologies such as artificial intelligence (AI) are a game changer for automation in the workplace. Like ambitious young go-getters, they promise to take on more responsibility and make better decisions, and the implications for workers, companies, and policy makers are significant and pressing.

This paper provides a synthesis of the literature on and recent trends in new technologies and its effect on 21st century children (0-18 years old). It begins by providing an overview of recent trends in the access and use of new technologies as well as a summary of online opportunities and risks. It then explores a variety of factors, including economic, social and cultural status which underlie these trends and lead to online and offline inequalities. Building digital resilience is an important skill for 21st century children. Effective strategies to accomplish this include encouragement of active rather than passive Internet use, e-safety in the school curriculum, and teacher and parental Information and Communication Technology (ICT) support. A focus on younger children (primary school or younger) and the effects of new emerging technologies would be helpful for future research.

The rapid technological progress in automation, robotisation and artificial intelligence is raising fears, but also hopes, that in the future the nature of work will change significantly. There will be changes in what we do, how we form workplace relations, how we find work and the role of work in a society. Some believe that these changes will be for the better: we will need to work less and thus will have more free time. Others think that the changes will be for the worse: there will be fewer ways to earn a living. The central question of this paper is this: will adages such as ‘By the sweat of your brow you will eat your food’ and ‘No bees, no honey, no work, no money’ become obsolete? Will work disappear and with it the societal relations and inequalities that result from differing success in work? If this is going to happen, what policy options do we have to address the issue?

‘Whoever becomes the ruler of AI will become the ruler of the world,’ said Vladimir Putin in September 2017. The USA, Russia and China are all adamant that artificial intelligence (AI) will be the key technology underpinning their national power in the future.What place, then, is there for Europe in this context? The European Commission has recently set out a European initiative on AI which focuses on boosting the EU's technological and industrial capacity, developing an innovation ecosystem, ensuring the establishment of an appropriate legal and ethical framework, and preparing for socio-economic changes. This edition of the Foresight Brief presents the results of a mapping exercise on AI’s impact on the world of work. It looks at the issues of work organisation and infrastructure, introduces the idea of ‘AI literacy’ for the workforce (as a necessary complement to technical reskilling), and details several AI risks for companies and workers. It also looks at aspects related to algorithmic decision making and the necessary establishment of an ethical and legal framework.