As AI agents become more capable of performing complex tasks, many technology companies are marketing them as "digital coworkers" or "AI teammates." However, the article argues that this framing is misleading and potentially harmful. Unlike human colleagues, AI agents do not possess accountability, judgment, intent, or an understanding of workplace responsibilities. Treating them as coworkers can lead people to overestimate their capabilities and underestimate the need for human oversight.
The article highlights research showing that the way AI is described influences how people interact with it. When AI agents are presented as coworkers rather than tools, users become more likely to delegate responsibility, trust AI recommendations without sufficient scrutiny, and overlook mistakes. This psychological shift can reduce critical thinking and make organizations more vulnerable to costly errors, particularly in high-stakes environments such as healthcare, finance, and public administration.
Rather than viewing AI as a replacement for human colleagues, the author argues that organizations should treat AI agents as sophisticated software tools. Humans should remain responsible for setting goals, exercising judgment, verifying outputs, and making final decisions. Clear governance, defined responsibilities, and continuous human supervision are essential to ensure that AI enhances productivity without eroding accountability or creating confusion about who is responsible when something goes wrong.
The article concludes that language matters in AI adoption. Calling AI agents "coworkers" may encourage unrealistic expectations and blur the distinction between human and machine responsibilities. As AI becomes more integrated into the workplace, organizations should focus on designing systems that complement human expertise rather than anthropomorphizing AI. Success with agentic AI will depend not on treating machines as employees, but on maintaining clear human ownership, oversight, and accountability.
