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Cagri Yuksel

Cagri Yuksel

Email: c.yuksel@qmul.ac.uk

Project title

How does the interaction of immigration inflow and artificial intelligence impact income inequality in the United Kingdom?

Project description

The interplay between immigration inflows and artificial intelligence (AI) is reshaping the dynamics of the labour market, with significant implications for income inequality in the United Kingdom. This research examines how the interaction between these two forces influences wage distribution, job displacement, and labour market segmentation across different skill levels and industries.

As AI-driven automation alters the demand for labour, particularly in sectors traditionally reliant on immigrant workers, the study explores whether technological advancements exacerbate or mitigate wage disparities. Additionally, it investigates the extent to which immigration inflows complement or compete with AI technologies in shaping employment opportunities and earnings potential. By integrating economic theory with empirical analysis, the research aims to assess how these factors jointly contribute to income inequality, considering variables such as occupational skill levels, regional disparities, and policy interventions.

This study contributes to the broader discourse on the future of work, economic mobility, and social equity, providing evidence-based insights for policymakers, businesses, and labour market stakeholders. The findings will inform discussions on the role of immigration policy and AI governance in fostering inclusive economic growth and reducing inequalities in the UK labour market.

Supervision

1st Supervisor: Professor Sanghamitra Bandyopadhyay, Development Economics.
2nd Supervisor: Associate Professor Michel F. C. Haddad, Business Statistics.

Biography

I am a PhD candidate in Economics in the Department of Business Analytics and Applied Economics (BAAE) at Queen Mary University of London, where my research explores the intersection of artificial intelligence (AI), labour economics, and income inequality. I hold an MSc in Banking and Finance (Distinction) and a BSc in Accounting and Management (First Class Honours) from Queen Mary University of London. My academic journey has been driven by a strong passion for economic research, quantitative analysis, and policy evaluation, with a particular focus on understanding how technological advancements reshape labour market dynamics.

I am currently a Teaching Associate at Queen Mary University of London and City, St George’s University of London and hold a Fellowship from the Certificate in Learning and Teaching (CILT), demonstrating my dedication to excellence in higher education pedagogy. Through this fellowship, I continuously refine my teaching methods, ensuring an engaging and inclusive learning environment for students. My teaching experience spans various economics and business modules, where I integrate theoretical knowledge with practical applications to enhance student comprehension.

Centre and Group Membership

  • Board Member, Hellenic Tech Network (HTN)
  • Affiliate Member, Institute of Directors (IoD)
  • Member, Centre for Globalisation Research (CGR)

 

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