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Protecting people, rather than specific jobs, plays a key role in promoting labour-market inclusiveness and dynamism. Effective unemployment benefits reduce inequality, and facilitate a good match between workers’ skills and job requirements. They are a crucial policy lever for adapting to the major societal, technological and environmental transitions of our time. This report on the United States is the second of a number of OECD country reviews of income support policies. Each report analyses key policy challenges, discusses recent reform initiatives, and identifies good practices from other OECD countries. The report examines the reach and generosity of unemployment insurance and other income support for working age households, with a special focus on disadvantaged labour market groups. What are key gaps in benefit receipt between wage- and salaried employees and non-standard workers (part-time workers, those on temporary contracts, and self-employed workers including own-account workers)? What factors, including race/ethnicity and gender, drive non-entitlement to unemployment compensation? The report examines these questions, considers the impact of recent extensions to the unemployment insurance programme in response to the COVID pandemic, and outlines policy directions for strengthening out-of-work support.

About one in ten young people in Australia are neither in employment, education or training (NEET), a factor that may lower their long-term economic prospects and threaten their well-being. Individuals who did not graduate from upper secondary education, who have health limitations, or who are Indigenous are over-represented in this group. Preventative policies and interventions targeted at adolescents in their early- to mid-teens can reduce the share of young people out of employment, education and training. This report explores what is known about the potential preventative impact of educational and pre-employment interventions on later NEET status and presents a range of policies and initiatives from across the OECD that can reduce the NEET probability among key at-risk populations. The report covers interventions to prevent early school leaving and to promote student engagement and motivation; to strengthen career education, career guidance and employer engagement; and to improve the perception of the vocational education and training (VET) system and the learning of VET students. The report also provides recommendations on improving the monitoring and evaluation of youth policies in general and policies to keep young people in employment, education and training in particular.

This paper introduces the Employer Module of the OECD Survey of Adult Skills (PIAAC), a new OECD survey designed to measure the imbalance between the supply of and demand for the skills needed in the workplace (skill gaps), and how this relates to companies’ business strategy and hiring, training and human resource practices. The document first describes the added value of collecting such data, and the different streams of economic research it can contribute to. It then shows how the Module can complement worker-level information on skill imbalances collected in the OECD Survey of Adult Skills. Lastly, it presents the key technical features of the survey, including the questionnaire’s conceptual development, the units of observation and coverage, the mode of administration, and the requirements for data cleaning and validation.

Globalisation and rapid technological change have radically transformed labour markets, affecting the lives and prospects of billions of workers. Those in the informal economy, the vast bulk of the workforce in the Global South, have been bearing the brunt. This report is for policy makers seeking to address the factors that make those workers in informality vulnerable. It provides them with a distinctive cross-country comparison of recent informality trends, and how they were affected by the recent crises such as the COVID-19 epidemic, casting light on the impacts of sub-contracting models in global value chains, and digital labour platforms. It argues that an inclusive recovery and greater resilience to future crises necessitate that many countries renew their social contracts, to make them more inclusive of informal workers and their families.

A growing number of OECD countries are facing the challenge of making their public service more attractive, even as public policy management becomes increasingly complex and requires new skills. This paper seeks to identify the attractiveness factors of the public service in the French regions and across the member countries of the European Union, particularly within a context of major trends in public employment that are constantly changing. The first section aims to shed light on the attractiveness of the French public service in French regions, through a mostly qualitative focus on four regions (Grand Est, Hauts-de-France, Île-de-France, Normandy). These regions are facing, in whole or in part, difficulties in attracting, recruiting, and retaining their public employees. The second section, in addition to a better understanding of the major trends affecting public employment across the European Union and OECD member countries and the implications for the Human Resources (HR) function, explores the measures implemented by other administrations in OECD member countries as well as the private sector to develop or adapt their human resources policies in order to better plan attractiveness efforts.

National Statistical Offices face a growing policy demand for better statistics on digital platform employment and work. New statistical definitions are needed to avoid undercounting the number of people involved in these jobs. In addition, new sources of data, including non-official ones, may be needed to meet the statistical challenges of measuring digital platform employment and work. The OECD, the International Labour Organisation and the European Commission have joined forces to produce this Handbook on Measuring Digital Platform Employment and Work, which assesses measurement options and provides first recommendations on these issues. The Handbook first proposes a general definition of digital platform work and a conceptual framework that helps identify the key features of digital platform employment and work, which statisticians should bear in mind when designing their research objectives and operational protocol. The Handbook then reviews the main statistical vehicles used for measuring digital platform employment, and discusses previous statistical initiatives by National Statistical Offices through the lens of its conceptual framework.

The paper discusses the implications of recent advances in artificial intelligence for knowledge workers, focusing on possible complementarities and substitution between machine translation tools and language professionals. The emergence of machine translation tools could enhance social welfare through enhanced opportunities for inter-language communication but also create new threats because of persisting low levels of accuracy and quality in the translation output. The paper uses data on online job vacancies to map the evolution of the demand for language professionals between 2015 and 2019 in 10 countries and illustrates the set of skills that are considered important by employers seeking to hire language professionals through job vacancies posted on line.

This document serves both as a conceptual and practical guide for defining and classifying AI, in order to help stakeholders analyse and understand its impact on the workplace. It first discusses how AI can be defined and provides a selection of AI use cases to help stakeholders identify AI and distinguish it from other advanced technologies. The document then provides a framework for classifying AI according to its impact on the workplace, consisting of a set of questions intended to help stakeholders evaluate any AI application from a workplace perspective (either a priori or ex post) and to promote informed discussion so that AI is implemented in a way that empowers and complements workers and improves job quality, and that no one is left behind.

New OECD surveys of employers and workers in the manufacturing and finance sectors of seven countries shed new light on the impact that Artificial Intelligence has on the workplace —an under-researched area to date due to lack of data. The findings suggest that both workers and their employers are generally very positive about the impact of AI on performance and working conditions. However, there are also concerns, including about job loss—an issue that should be closely monitored. The surveys also indicate that, while many workers trust their employers when it comes to the implementation of AI in the workplace, more can be done to improve trust. In particular, the surveys show that both training and worker consultation are associated with better outcomes for workers.