Digital Innovation

This report examines digitalisation’s effects on science, technology and innovation and the associated consequences for policy. In varied and far-reaching ways, digital technologies are changing how scientists work, collaborate and publish. While examining these developments, this book also assesses the effects of digitalisation on longstanding policy themes, from access to publicly funded research data, to the diffusion of technology and its absorption by firms. New and emerging topics are also explored. These include the roles of artificial intelligence and blockchain in science and production, using digital technology to draw on the collective intelligence of the scientific community, advances in the digitalisation of biotechnology, and possible "dark sides" of digitalisation.

This report is the result of a collaboration between members of the World Economic Forum Council on Advanced Manufacturing and Production. It summarizes the main findings of work conducted on the application of advanced manufacturing and digital technologies on future production and supply-chain models. The applications set out in this paper highlight the importance of collaborations across supply-chain partners as crucial to technology adoption and exploitation. Five advanced manufacturing transformations are presented that offer real-world examples of how advanced manufacturing and digital technologies are driving new supply-chain capabilities achieved through supplier-producer-user collaboration. These five transformations, while not aiming to be exhaustive, demonstrate 1) smart manufacturing, 2) flexible supply chains, 3) authentication and consumer engagement, 4) supply chain visibility and resilience, 5) remanufacturing, reduce, reuse and recycling.

In this short presentation, Dr Franck Debié, Director of the Library and the Knowledge services in the European Parliament, Associate Professor of Geopolitics at Ecole Normale Supérieure de Paris (Paris Sciences et Lettres University), Member of the Steering Committee of the European System for Policy Analysis and Strategy (ESPAS) outlines his view of the key findings of the three ESPAS reports (2012, 2015, 2019) on long-term trends to 2030 for the Ideas Network 2030, an Oxford based network regrouping policy-makers, business actors and researchers. The discussion took place on 14 September 2019. In his conclusions he stressed that: 'the successive ESPAS reports help us to progressively narrow our focus on those issues which will force Europeans to engage in a joint conversation on policy options for the future: the rise of China, climate change, aging and migration, digital disruption, and the growth of nationalism.

The World Development Report (WDR) 2019: The Changing Nature of Work studies how the nature of work is changing as a result of advances in technology today. Fears that robots will take away jobs from people have dominated the discussion over the future of work, but the World Development Report 2019 finds that on balance this appears to be unfounded. Work is constantly reshaped by technological progress. Firms adopt new ways of production, markets expand, and societies evolve. Overall, technology brings opportunity, paving the way to create new jobs, increase productivity, and deliver effective public services. Firms can grow rapidly thanks to digital transformation, expanding their boundaries and reshaping traditional production patterns. The rise of the digital platform firm means that technological effects reach more people faster than ever before. Technology is changing the skills that employers seek. Workers need to be better at complex problem-solving, teamwork and adaptability. Digital technology is also changing how people work and the terms on which they work. Even in advanced economies, short-term work, often found through online platforms, is posing similar challenges to those faced by the world’s informal workers. The Report analyzes these changes and considers how governments can best respond. Investing in human capital must be a priority for governments in order for workers to build the skills in demand in the labor market. In addition, governments need to enhance social protection and extend it to all people in society, irrespective of the terms on which they work. To fund these investments in human capital and social protection, the Report offers some suggestions as to how governments can mobilize additional revenues by increasing the tax base.

Economies are complex production systems with myriad subcomponent production systems—that is, industries—from manufacturing to health care to retail. What and how these production systems produce is grounded in technology. So, as technologies change, production systems change—around the world. Today, the most important and widely shared technologies are digital information technologies that have evolved from the mainframe and mini-computing systems of the 1960s and 70s. They include an array of personal computing devices, back-office servers, IT-embedded machines, and cloud-based services that are connected or dynamically provisioned to users over private networks or the Internet. But the world is now beginning to transform into a new kind of digital system, one that will not only build on existing devices and systems, but also increasingly will incorporate emerging technologies such as sensors, robotics, and artificial intelligence as they improve in price and performance. This next digital economy will be significantly more connected (with many more things, and many more types of things networked, including in more advanced wireless, satellite, and wireline networks), more automated (as devices and systems enable more work to be done by machines), and smarter (as algorithms play increasingly important roles in sensing—and making sense of—all this).

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.

The fifth generation of mobile network technologies, known as “5G,” promises greater speed, security, and capacity. 5G will underpin the internet economy and provide the backbone for the next generation of digital technologies. So, it is unsurprising that there is intense competition among companies and countries for 5G leadership. 5G will determine the direction the internet will take and where nations will face new risks and vulnerabilities. Who makes 5G technologies will affect security and innovation in an increasingly competitive technological environment. Decisions made today about 5G will affect national security and economic performance for decades to come. This is a competition among companies and groups of companies but also a competition between market-based and state-directed decisionmaking. The United States has relied on the former, China on the latter, and Europe falls somewhere in between. American technology remains essential for 5G mobile telecommunications. American companies have been strong performers in developing 5G technologies, but the United States and its allies face a fundamental challenge from China. The focus of competition is over 5G’s intellectual property, standards, and patents. Huawei, for example, has research programs to develop alternatives to American suppliers, and U.S. trade restrictions have accelerated China’s efforts to develop its own 5G industry. While American companies lead in making essential 5G technologies, there are no longer any U.S. manufacturers of core telecommunications network equipment.

2025 may seem like a long way off. The pressing issues of today necessarily preoccupy European leaderships. But consider this reality: youngsters who are 10 years old today (2009) will be entering the prime of life by 2025. Many millions of 10-year-olds in Europe and around the world are already “digital natives” – born and raised in a world of digital communications. Behind them will come wave upon wave of youngsters, particularly in today’s young emerging societies and economies, with increasing numbers growing up with ever-more powerful digital tools. Indeed, given current trends any distinction between “the digital world” and any other worlds will have become largely academic by 2025. Over the past 15 years digital communications have already transformed the way ever-increasing numbers of us behave individually and collectively in our working and social lives. But this is just the beginning as the pace of change itself accelerates.

In tandem with the diffusion of computer technologies, labour markets across the OECD have undergone rapid structural transformation. In this paper, we examine i) the impact of technological change on labour market outcomes since the computer revolution of the 1980s, and ii) recent developments in digital technology – including machine learning and robotics – and their potential impacts on the future of work. While it is evident that the composition of the workforce has shifted dramatically over recent decades, in part as a result of technological change, the impacts of digitalisation on the future of jobs are far from certain. On the one hand, accumulating anecdotal evidence shows that the potential scope of automation has expanded beyond routine work, making technological change potentially increasingly labour-saving: according to recent estimates 47 percent of US jobs are susceptible to automation over the forthcoming decades. On the other hand, there is evidence suggesting that digital technologies have not created many new jobs to replace old ones: an upper bound estimate is that around 0.5 percent of the US workforce is employed in digital industries that emerged throughout the 2000s. Nevertheless, at first approximation, there is no evidence to suggest that the computer revolution so far has reduced overall demand for jobs as technologically stagnant sectors of the economy – including health care, government and personal services – continue to create vast employment opportunities. Looking forward, however, we argue that as the potential scope of automation is expanding, many sectors that have been technologically stagnant in the past are likely to become technologically progressive in the future. While we should expect a future surge in productivity as a result, the question of whether gains from increases in productivity will be widely shared depends on policy responses.