AI and the Future of Work
AI is reshaping the nature of work across industries, altering tasks, roles, and the skills required to perform them. The resources below provide an overview of how these changes are unfolding, with a particular focus on Singapore’s workforce context. Together, they highlight where AI is augmenting human work, where new capabilities are emerging, and where future graduates will need to adapt.
How AI is Transforming Work and Skills
- Digital Education Council. Executive Briefing #027 The AI Skills Opportunity Map: Preparing the Next Generation Workforce
- SkillsFuture. AI Potential on Tasks Dashboard
- IMDA. National AI Impact Programme: Empowering Enterprises and Workers to Transform with AI
- MOM. Inaugural Release of Report on Adoption of Artificial Intelligence Among Firms
The following selection of industry-specific resources offers a closer look at how AI is reshaping practice within fields such as accounting, finance, and law. They provide a starting point for identifying the capabilities most relevant to your discipline, to ground competency design in current developments and emerging expectations.
- CPA.com. 2025 AI in Accounting Report
- Thomson Reuters. How do different accounting firms use AI?
- AICPA & CIMA - Journal of Accountancy. How will accountants learn new skills when AI does the work?
- AICPA & CIMA - 5 human competencies CPAs need in the AI age
- Journal of Accounting Research. Human + AI in Accounting: Early Evidence from the Field
- Stack Overflow - 2025 Developer Survey
- McKinsey. AI transformation: Rewiring the business for value
- Terragni, Valerio, et al. "The future of ai-driven software engineering." ACM Transactions on Software Engineering and Methodology 34.5 (2025): 1-20.
- Panyam, Sriram, and Praveen Gujar. "How AI Agents Are Transforming Software Engineering and the Future of Product Development." Computer 58.5 (2025): 71-77.
- Technology Radar - An opinionated guide to today’s technology landscape. Volume 34.
- APA. Ethical Guidance for AI in the Professional Practice of Health Service Psychology
- Chakravorti, Tatiana, et al. "Social Scientists on the Role of AI in Research." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. Vol. 8. No. 1. 2025.
- Li, Lincan, et al. Political-llm: Large language models in political science
- Grossmann, Igor, et al. AI and the transformation of social science research
- Xu, Ruoxi, et al. AI for social science and social science of AI: A survey
Note: The resources included are intended to be illustrative rather than exhaustive. Coverage will continue to be expanded over time as additional materials and discipline-specific use cases become available.