The Complex Relationship Between Humans and AI Agents in the Workplace

Artificial intelligence (AI) agents are designed to augment human workers, freeing them from mundane tasks and enhancing their ability to perform higher-level tasks. However, a recent survey of 1,100 professionals and white-collar workers by EY reveals that many employees are struggling to adapt to the introduction of AI agents in their workplaces. Despite recognizing the potential benefits of AI, workers are often left to learn and adopt these new tools on their own, leading to feelings of overwhelm and uncertainty.

The Challenges of Managing Human-AI Hybrid Workforces

The survey found that 64% of workers who use AI agents feel overwhelmed by the sheer number of new tools being introduced, and 63% of non-management employees are reluctant to take on management roles that involve overseeing AI agents. This hesitation is understandable, given the lack of clear guidance on how to manage human-AI hybrid workforces. Managers are faced with pressing questions, such as how to integrate AI agents into their teams, how to foster collaboration between humans and AI, and how to provide feedback to AI agents.

Even current managers and supervisors lack confidence in their ability to address these questions, despite being convinced that AI agents will always require human oversight. The survey highlights the need for leaders to provide clear communication and training on AI strategies, as well as to address the concerns and uncertainties of their employees. With 85% of workers learning about AI agents outside of work and 83% relying on self-taught knowledge, it is clear that there is a significant gap in training and support.

Boosting Confidence in AI Agent Deployments

To address these challenges, EY’s survey co-authors offer several suggestions. Firstly, leaders should focus on the potential benefits of AI, such as market-defining growth and new business models, rather than perpetuating doom-and-gloom narratives about job security. Secondly, organizations should be open and transparent about their AI plans and vision, as clear communication is shown to have a positive impact on team productivity. Finally, companies should invest in training and upskilling programs that prepare employees to work effectively with AI agents, rather than relying on self-directed learning or untrustworthy sources.

By acknowledging the complexities and challenges of working with AI agents, organizations can take the first step towards harnessing the potential of these technologies to drive growth, productivity, and innovation. As Dan Diasio, EY Global Consulting AI Leader, notes, “Agentic AI should be seen as a thought partner that sharpens human judgment and expands capability – not as an easy button that risks trading brainpower for short-term productivity.” By adopting this mindset and providing the necessary support and training, businesses can unlock the full potential of human-AI collaboration and create a more efficient, effective, and meaningful work experience.