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This report analyses the demand for positions that require skills needed to develop or work with AI systems across 14 OECD countries between 2019 and 2022. It finds that, despite rapid growth in the demand for AI skills, AI-related online vacancies comprised less than 1% of all job postings and were predominantly found in sectors such as ICT and Professional Services. Skills related to Machine Learning were the most sought after. The US-focused part of the study reveals a consistent demand for socio-emotional, foundational, and technical skills across all AI employers. However, leading firms – those who posted the most AI jobs – exhibited a higher demand for AI professionals combining technical expertise with leadership, innovation, and problem-solving skills, underscoring the importance of these competencies in the AI field.

The Brussels-Capital Region has witnessed significant improvements in its labour market over the past decade. Local job creation has been driven by ample opportunities for highly-skilled workers whom the Brussels-Capital Region attracts from its surrounding regions, the European Union, and beyond. However, not all of the region’s population has seen their labour market prospects improve equally. Many workers with lower levels of education continue to compete for a small number of vacancies, despite the increasingly tightening labour market. A future vision for the Brussels-Capital Region, therefore, needs to be built on recognising and addressing the multiple and often distinct challenges faced by its young and diverse population. In a labour market that offers high rewards for skills formation, tailoring continuous education and training offerings to different groups while removing barriers to participation in such programmes will need to take priority. Simplifying processes for accessing employment services, streamlining labour market policies, supporting the geographic mobility of less-educated jobseekers, and removing barriers to employment for its migrant population could serve as building blocks to increase labour force participation and improve the employment quality of all local talent.

The world of work is getting older in advanced and an increasing number of emerging economies. Two powerful and persistent trends, longer lifespans and lower birth rates, all but guarantee that midcareer and older workers will make up an even larger portion of the future workforce, with profound implications for our economies, businesses and workers. Are societies adapting quickly enough to cope with ageing at an unprecedented scale? What are some of the key structural barriers, the embedded attitudes and behaviours, that stand in the way of helping midcareer and older workers stay employed longer? What steps can we take to support them as we transition to a more digital and sustainable economy, and make sure that age is no longer a barrier to work? In search of answers, the OECD and Generation, a global employment nonprofit network, teamed up to develop new research based on a survey of thousands of employed and unemployed people, and hiring managers in eight countries: the Czech Republic, France, Germany, Romania, Spain, Sweden, the United Kingdom, and the United States. The evidence presented in this report aims to foster a more inclusive and resilient labour market for workers at all stages of their careers.

Using panel data for Indonesia, Malawi, Peru and South Africa, this paper investigates the relationship between transitions to formal employment and workers’ labour income. It shows that transiting from informal to formal employment increases the probability of improving workers’ labour income in both absolute and relative terms. However, income gains from formalisation do not accrue to all workers equally. Switching to formal employment has the greatest potential to improve the labour income of the richest workers. The chances of improving the labour income of the poorest workers through formalisation are slim. Transitions between formal and informal employment affect income gains and losses differently for men and women, older and younger workers, and workers with different levels of schooling. The effects of labour market transitions on income changes are considerably greater in magnitude than other life events such as a births, separation, or death of a partner or spouse.

Spain has a high share of the working age population at risk of poverty or social exclusion and a high incidence of child poverty. While Spain has introduced a minimum income at the national level, social inclusion policies are the responsibility of the regions. At present, the coverage of the minimum income remains low and there are many differences in the design and implementation of social inclusion policies across regions, especially as a number of regions do not develop social inclusion strategies. There is also a lack of a multidimensional approach to social inclusion. This report develops options for new inclusion models that address current challenges and help formulate a coherent inclusion strategy. It also sets out a blueprint for developing a monitoring and evaluation framework. The recommendations aim to increase the effectiveness of minimum income policies and strengthen the co-ordination between social services, employment, health and housing.

The OECD review of Gender Equality in Colombia: Towards a Better Sharing of Paid and Unpaid Work is the third in a collection of reports focusing on Latin American and the Caribbean countries, and part of the series Gender Equality at Work. The report compares gender gaps in labour and educational outcomes in Colombia with other countries. Particular attention is put on the uneven distribution of unpaid work, and the extra burden this places on women. It investigates how policies and programmes in Colombia can make this distribution more equitable. The first part of the report reviews the evidence on gender gaps and on what causes these, including the role played by attitudes. The second part develops a comprehensive framework to address these challenges, presenting a broad range of options to reduce the unpaid work burden falling on women, and to increase women’s labour income. Earlier reviews in the same collection have looked at gender equality policies in Chile (2021) and Peru (2022).

This paper analyses the association of labour market outcomes and family policies with fertility trends between 2002 and 2019 in 26 OECD countries. While the average age of mothers at birth of their children continued to increase over the entire period, these years have been marked by an initial catching-up of total fertility rates after marked declines in previous decades. Furthermore, after peaking in 2008, total fertility rates declined substantially, fueling concerns about demographic, economic and fiscal implications. Using panel data models and building on prior work, this paper links these changes in fertility outcomes to changes in the labour market position of men and women as well as with changes in family policies, such as parental leaves and early childhood education and care. This paper provides insights into the complex dynamics between family policies, employment and fertility, shedding light on the factors influencing overall population dynamics in OECD countries.

This paper provides an assessment of the 2019 minimum-wage hike in Spain, which increased the minimum wage by 22% and directly concerned 7% of dependent employees. The assessment is based on an individual-level analysis that follows the outcomes of workers that were employed in the year before the reform over time. Among directly affected workers, the hike in the minimum wage increased full-time equivalent monthly earnings by on average 5.8% and reduced employment by -0.6%. The wage effects are stronger for workers on open-ended contracts, while the employment effects are stronger for workers on fixed-term contracts.

This paper estimates the data intensity of occupations/sectors (i.e. the share of job postings per occupation/sector related to the production of data) using natural language processing (NLP) on job advertisements in the United Kingdom, Canada and the United States. Online job advertisement data collected by Lightcast provide timely and disaggregated insights into labour demand and skill requirements of different professions. The paper makes three major contributions. First, indicators created from the Lightcast data add to the understanding of digital skills in the labour market. Second, the results may advance the measurement of data assets in national account statistics. Third, the NLP methodology can handle up to 66 languages and can be adapted to measure concepts beyond digital skills. Results provide a ranking of data intensity across occupations, with data analytics activities contributing most to aggregate data intensity shares in all three countries. At the sectoral level, the emerging picture is more heterogeneous across countries. Differences in labour demand primarily explain those variations, with low data-intensive professions contributing most to aggregate data intensity in the United Kingdom. Estimates of investment in data, using a sum of costs approach and sectoral intensity shares, point to lower levels in the United Kingdom and Canada than in the United States.