IER director shapes global dialogue on AI and green jobs at Riyadh conference
In February IER Director, Professor Chris WarhurstLink opens in a new window, was an invited speaker at the Global Labour Markets Conference in Riyadh. It鈥檚 a new, annual event involving the World Bank, ILO and United Nations, global trade union organisations and C-suite business leaders.
Professor Chris Warhurst participated in two sessions, the first a presidential-style 鈥榞loves off鈥� debate about skills and AI and the second presenting IER鈥檚 work on green jobs and a just transition.
Using data from Scotland it presents mixed findings. First, there are few new green jobs but a strong greening of existing jobs. Second, while green jobs offer higher wages, they tend to be dominated by male workers. The study outlines the policy implications of these findings for creating inclusive green jobs.
Warhurst, C., Harris, J., Cardenas-Rubio, J., & Anderson, P. (2025). A Just Transition? Green Jobs, Good Jobs and Labour Market Inclusivity in Scotland. European Journal of Workplace Innovation, 9(1&2)
LMI for All: New blogs explore job quality indicators and generative AI's impact on employment
IER's Dr Sangwoo LeeLink opens in a new window discusses the importance of job quality indicators in labour market analysis, exploring their impact on employee wellbeing and economic outcomes. This highlights how job quality measures can be integrated into labour market information systems to support evidence-based policymaking. Using Eurofound鈥檚 job quality framework, Dr Sangwoo Lee constructed indicators based on the Understanding Society, one of the UK鈥檚 largest household surveys. While job quality research faces challenges due to its separation from socio-demographic and educational data, these indicators, despite missing some Eurofound dimensions, provide valuable insights into the relationship between job quality and individual characteristics. Dr Sangwoo Lee also estimates scores for four job quality dimensions by occupation: Prospects, Skills and Discretion, Work Intensity, and Working Time Quality.
As the labour market continues to evolve with technological advancements, understanding both job quality and the impact of emerging technologies becomes increasingly important for researchers and policymakers alike. Recent debates about Generative AI's employment impact have moved beyond early alarmism, revealing a more complex picture of labour market disruption. While the World Economic Forum projects a net job increase by 2030, specific sectors face significant challenges, with emerging AI agents and robot training technologies potentially accelerating workplace transformation. In the , Graham Attwell emphasises that these developments underscore the critical importance of AI literacy and workforce retraining programs, as companies increasingly prepare their employees to collaborate effectively with AI systems.
LMI for All: Insights into emerging skills needs
LMI for All has released a new series of foresight posters providing valuable insights into emerging skills needs across key economic sectors. The seven posters cover critical areas including Energy, Waste Management, Manufacturing, Health Care, Circular Economy, Construction, and Agriculture.
These resources offer essential labour market intelligence to help educators, career advisors, and policymakers understand evolving workforce requirements in these vital sectors. The provide a visual and accessible way to communicate complex skills forecasting data, supporting better career guidance and workforce planning.
Cedefop's latest Skills Forecast
Cedefop, the European Agency responsible for Vocational Education and Training, have released the latest update to their Skills Forecast data providing labour market projections at a pan-European level from 2022 to 2035. The project was led by with a consortium of European research organisations, including the IER, and individual country experts from across Europe.
The forecast takes account of global economic developments up to Autumn 2023, including the pandemic and responses to it, and provides policymakers with an overall picture of labour market trends and skills development in the EU. It estimates the size of the future labour force and future employment trends by sector and occupation for the EU and the 27 Member States. Further details can be explored via .
Publication
Warhurst, C., Harris, J., Cardenas-Rubio, J., & Anderson, P. (2025). . European Journal of Workplace Innovation, 9(1&2).
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