Navigating AI-Driven Skill Change: A Comparative Analysis of Seven Job Roles in Singapore and United States Labour Markets

Artificial intelligence is reshaping more than jobs — it is changing how work is designed, how skills are signalled, and how talent is developed. As generative AI becomes increasingly embedded in workplace tools and workflows, organisations need to better understand how skill demand is shifting, and what this means for workforce planning, job redesign, and long-term capability building.

This study, conducted by the Centre for Skills-First Practices at SUSS-IAL in collaboration with the Burning Glass Institute, examines AI-driven skill change across Singapore and United States labour markets. Drawing on approximately 15.3 million job postings from 2020 to 2025, the report compares pre-generative AI and post-generative AI periods to identify how employer demand for skills is evolving across selected roles in the finance and manufacturing sectors.

The report highlights four key shifts:

• AI is increasingly integrated into tools and workflows rather than treated as a standalone skill.
• Hiring practices are evolving to place greater value on practical experience.
• Employers across Singapore and United States are increasingly prioritising similar skills and capabilities.
• Skill requirements are changing faster in Singapore than in the United States.

In response to these shifts, the report sets out strategic priorities for employers, including adopting a skills-first workforce strategy, embedding continuous and work-integrated learning, redesigning work through a human-centric approach, strengthening entry-level pathways, proactively addressing skill gaps, and placing greater emphasis on how skills are nurtured and applied in AI-enabled work environments.

To learn more about the project’s methodology, key findings, and recommendations, please download the full report and infographic below.

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