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Thriving middle classes are the backbone of democratic societies and strong economies, but in many countries, they face mounting pressure as their economic strength is eroding relative to higher-income households. Real wages and incomes for most middle-class households have grown only very slowly, and rising expenditures have been putting further pressure on living standards. Meanwhile, globalisation, digitalisation, and demographic change are eroding job opportunities for middle-skilled workers, who risk sliding into lower-paid employment. The COVID-19 crisis has accentuated socio-economic divides and may end up accelerating some of the above trends. This publication builds upon the OECD’s publications on the middle class (Under Pressure: The Squeezed Middle Class) and social mobility (A Broken Social Elevator? How to Promote Social Mobility). It demonstrates that the German middle class is similar in size as in peer countries, but substantially smaller than it was in the mid-1990s. Lower middle‑class households face an increased risk of slipping out of the middle; meanwhile, upward mobility into the middle has declined, particularly for workers in 'typical' middle-class occupations. Employment growth forecasts point to further occupational polarisation. The review proposes policy options for strengthening the employability of middle-class workers, creating good-quality, future-oriented jobs, and boosting middle‑class disposable incomes.

This paper addresses the current and emerging uses and impacts of robots, the mid-term future of robotics and the role of policy. Progress in robotics will help to make life easier, richer and healthier. Wider robot use will help raise labour productivity. As science and engineering progress, robots will become more central to crisis response, from helping combat infectious diseases to maintaining critical infrastructure. Governments can accelerate and orient the development and uptake of socially valuable robots, for instance by: supporting cross-disciplinary R&D, facilitating research commercialisation, helping small and medium-size enterprises (SMEs) understand the opportunities for investment in robots, supporting platforms that highlight robot solutions in healthcare and other sectors, embedding robotics engineering in high school curricula, tailoring training for workers with vocational-level mechanical skills, supporting data development useful to robotics, ensuring flexible regulation conducive to innovation, strengthening digital connectivity, and raising awareness of the importance of robotics.

Africa’s Development Dynamics uses lessons learned in the continent’s five regions – Central, East, North, Southern and West Africa – to develop policy recommendations and share good practices. Drawing on the most recent statistics, this analysis of development dynamics attempts to help African leaders reach the targets of the African Union’s Agenda 2063 at all levels: continental, regional, national and local. The 2021 edition, now published at the beginning of the year, explores how digitalisation can create quality jobs and contribute to achieving Agenda 2063, thereby making African economies more resilient to the global recession triggered by the COVID-19 pandemic. The report targets four main policy areas for Africa’s digital transformation: bridging the digital divide; supporting local innovation; empowering own-account workers; and harmonising, implementing and monitoring digital strategies. This edition includes a new chapter examining how to finance Africa’s development despite the 2020 global economic crisis. Africa’s Development Dynamics feeds into a policy debate between the African Union’s governments, citizens, entrepreneurs and researchers. It aims to be part of a new collaboration between countries and regions, which focuses on mutual learning and the preservation of common goods. This report results from a partnership between the African Union Commission and the OECD Development Centre.

Global transformations – from population ageing to digitalisation, rising inequalities and climate change – have created profound uncertainties for young people and future generations, despite unprecedented access to information, education and technology. Moreover, the COVID-19 pandemic has exacerbated pre-existing challenges in youth’s mental well-being and employment, while raising concerns about the sustainability of public finances. This report provides the first comparative assessment of the policies, laws, institutional capacities and governance tools put in place by 42 national governments and the European Union to promote youth empowerment and intergenerational justice. It sets benchmarks for cross-country comparisons in three main areas: 1) Supporting youth’s transition to an autonomous life, 2) Enhancing youth’s participation and representation in public life as well as trust in government, and 3) Delivering fair policy outcomes for all generations. Finally, it provides practical insights for policy makers, civil society and young people seeking to build a present and future that leaves no generation behind.

The world of work is changing as a result of technological progress, globalisation and population ageing. The future of work holds many opportunities, but also presents distinct risks which tend to be greater for some population sub-groups, including low-educated workers. This report documents how the labour market for low-educated workers in Belgium has evolved in recent years and what the future might hold for them in terms of both job quality and quantity. Based on comparisons with neighbouring countries, the report seeks to provide policy advice to ensure that low-educated workers are not left behind by the changes that lie ahead.

This paper examines the determinants of structural adjustment in Japan and identifies several factors that explain the use of certain employment types. Its findings are based on a novel plant-level dataset that provides considerable detail on the types of employees used by Japanese manufacturers between 2001 and 2014. Analysis of this dataset shows that growth in the diffusion of robotics is linked to fewer non-regular employees, which seems to be partially driven by the positive association between robot adoption and the dismissal of certain types of non-regular workers. It also finds that offshoring from Japan to other countries contributes to the use of both regular and non-regular workers, while higher plant productivity is related to the use of more regular workers. Finally, establishments that experienced job dismissals appear to substitute non-regular workers for regular workers.