Key facts
- AI agents are blurring the lines between human and machine labor.
- Digital workforce management involves planning, deploying, supervising, and optimizing work by humans and technology.
- Many AI agents are introduced informally at the team level, leading to a lack of central tracking.
- Oversight of AI agents is often fragmented across IT, operations, and business leaders, creating challenges.
Businesses across Asia are finding that artificial intelligence agents, initially promoted as autonomous digital workers, are instead creating more work and a new layer of management. While AI agents have advanced capabilities due to generative AI and large language models, they require onboarding, training, compliance, and security measures akin to human employees. This shift from AI assisting tasks to AI owning outcomes is outpacing the evolution of workforce management practices, leading to a growing gap in accountability and security risks. Many AI agents are introduced informally at the team level, reducing visibility into their actual business process support and creating fragmented oversight across departments.