“If we're calling these AI things coworkers now, who exactly is double-checking the work?”We read the June 29, 2026 MIT Technology Review analysis of how agent marketing affects human oversight and accountability.
Why calling AI agents your 'coworkers' can backfire
The language we use for tools quietly rewires how much attention we pay them. Framing an AI agent as a coworker makes it easier to stop watching the output as closely as you would a piece of software.
The problem is not that the agent will lie on purpose. The problem is that once you start thinking of it as a colleague, you start extending it the same slack you would give a person who is generally competent. You skim instead of read. You assume context it does not have. You treat a probabilistic output as shared understanding.
That shift shows up in two places the MIT Technology Review article flags. First, error vigilance drops because the mental model has changed from "verify the machine" to "trust the teammate." Second, when something goes wrong, responsibility becomes fuzzier. The person who set the agent in motion, the company that sold the agent, or the agent itself: none of those answers feel clean once the framing has moved from tool to teammate.
Part of the appeal of the coworker metaphor is that it makes delegation feel natural. The cost is that delegation without verification starts to feel normal too.
Where this lands in real life: If you are using an agent to pull together a client brief or summarize research and then forwarding it with only a quick glance, the person receiving it still treats the content as coming from you. The accountability has not moved.
The more natural the coworker metaphor feels, the more deliberately you have to hold the line that this remains a tool you direct and correct.
If you are using an agent to pull together a client brief or summarize research and then forwarding it with only a quick glance, the person receiving it still treats the content as coming from you. The accountability has not moved.
Questions people ask
What changes in how you review output once you stop thinking of the agent as a helper?
You stay the last human checkpoint. The agent can surface patterns or drafts faster than you could alone, but it cannot carry the judgment of whether the tone fits the recipient or whether a number needs verification. That part stays yours.
Is there a better word than coworker for what these systems actually are?
Assistant, research aid, drafting partner: any of those keep the relationship clearer. The tool remains something you direct and correct.