Lab for the Future of Work and Well-being

Lab Directors:

About the Lab

Our mission is to advance understanding of how generative AI is transforming labor markets, leisure, and overall wellbeing, with a particular focus on China. We are committed to conducting rigorous, data-driven, and causally robust research to generate actionable insights. Distinctively, our people-centered approach places human wellbeing at the core of our analysis, going beyond productivity and profitability to explore how technological change can foster better jobs and lives.

Project Description

Leveraging multi-billion job posting data since 2015, this project quantifies the evolving demand for various AI skills and their associated wage returns in the Chinese labor market, offering the most comprehensive, data-driven picture of how AI is reshaping workforce needs and opportunities.

This project investigates how AI technologies are driving the rebundling of work tasks and the reorganization of occupations, with a special focus on the experiences of middle managers and gig workers.

Using large-scale survey data and experimental evidence, this project examines the impact of AI adoption in educational settings, assessing how intelligent tools influence teaching effectiveness and student learning.

This project explores how generative AI is reshaping leisure consumption, from fitness activities to entertainment experiences, providing evidence on the ways technology is enhancing—or challenging—people’s wellbeing outside of work.

This project explores the potential of AI-driven tools to design and deliver educational entertainment experiences that both engage and instruct. Using experimental methods, we assess how AI can transform recreation into meaningful learning opportunities.

Research Labs.

Deloitte-HKU Lab for Organizational
Transformation

Organizations succeed by attracting talent, motivating action, and coordinating efforts—areas AI is transforming, demanding structural adaptation. Our lab guides this shift, identifying effective responses and their interplay with markets, norms, and institutions. Through research and industry collaboration, we assess AI adoption, spotlight pitfalls, and craft frameworks for leaders.

Lab for AI-Agents in Business and Economics

Our mission is to pioneer AI-driven solutions for business challenges by developing multi-agent systems and domain-specific AI architectures, while guiding organizations through ethical, scalable, and transformative AI adoption. We focus on developing platforms for AI agents and multi-agent architecture for business and management, designing AI agents for specific business applications with deep domain knowledge, and studying the economic impact of AI transformation on human behavior, business and organizations.

AI Implementation (AI2) Lab

The AI Implementation (AI2) Lab is dedicated to turning AI and business research into real-world AI adoption. We collaborate with organizations to identify frictions, develop deployment strategies, and measure impact of AI implementation. Our work focuses on helping firms adopt and scale AI, designing business models for the AI era, and incubating AI-related innovations through experimentation and prototyping.

Lab for the Future of Work
and Well-being

We advance understanding of generative AI’s transformation of China’s labor markets, leisure, and wellbeing through rigorous, data-driven, causally robust research generating actionable insights. Our people-centered approach prioritizes human wellbeing, going beyond productivity and profitability to foster better jobs and lives.

The Human-Artificial Intelligence Lab

We study comparative intelligence in humans and artificial systems to develop evidence-based frameworks for effective human–AI collaboration.

AI Implementation (AI2) Lab

The AI Implementation (AI2) Lab is dedicated to turning AI and business research into real-world AI adoption. We collaborate with organizations to identify frictions, develop deployment strategies, and measure impact of AI implementation. Our work focuses on helping firms adopt and scale AI, designing business models for the AI era, and incubating AI-related innovations through experimentation and prototyping.