Advances in Artificial Intelligence (AI) and other frontier technologies are reshaping economies, workplaces, and outcomes worldwide. This digital transformation presents both opportunities and challenges at macroeconomic, organizational, and individual levels, influencing productivity, employment structures, and economic growth. Institutions and policies play a crucial role in shaping these impacts, including efforts to accelerate the adoption of new technologies across economic sectors and to adapt the workforce to these new challenges. The increasing digital transformation of work also contributes to shifts in work environments, including greater flexibility in where and how tasks are performed. Hybrid work arrangements, supported by digital tools, influence factors such as job satisfaction, job stress, and productivity.

Our research aims to deepen the understanding of these trends. Specifically, we analyze surveys and large unstructured data sources, such as online job postings and web-scraped data, linked with administrative records. In addition to traditional regression approaches and causal analyses, we employ advanced data science techniques, including machine learning and large language models, to address key research questions.