Written communication promotes understanding, conveys authority, and inspires action. In organizations, emails often serve as a proxy for leadership presence by setting a tone, articulating expectations, and reinforcing organizational culture. Increasingly, however, this communication is no longer written solely by the sender.

With a simple prompt, generative AI can instantly produce a confident response before we even have time to think or take a breath. These tools are now being suggested, and in some cases required, for drafting organizational communication. For the sender, AI-assisted writing can be helpful and even a source of relief when balancing tasks. For the recipient, AI-assisted writing may appear professional and well written. Over time, however, recipients may learn to recognize the patterns and tone of AI-generated communication. This recognition may change how people interpret the intent and authenticity of written communication.

The question now is not whether generative AI is being used for written communication, but when its use supports communication and when it may weaken relationships.

Normalizing AI-written communication?

Public access to generative AI tools became available in Fall 2022, but normalization has not occurred simply because the technology is available. Normalization takes place when a practice becomes routine and expected. In many organizations, generative AI is being used in everyday communication workflows.

Practitioner surveys in higher education indicate that staff and faculty are using AI to draft emails, announcements, and other communications, often without guidance on appropriate use (EDUCAUSE, 2024). In some cases, these tools are encouraged or even directed to increase efficiency and ensure message consistency, particularly from administrative offices.

Research suggests that recipients do not passively consume AI-written messages. Pan et al. (2025) found that people form judgments of trust, credibility, and intent based on a message’s content as well as who or what produced it. Even when AI-generated messages are understood and well written, recipients may respond differently once AI involvement is suspected or recognized. Hennighausen et al. (2025) similarly found that AI-mediated communication may be perceived as lacking consideration and integrity when compared to messages believed to be entirely human-written. Trust in AI-assisted communication is not automatic. It develops through interpretation, context, and prior experiences with the sender.

When a message is received, recipients interpret how it reads before deciding whether to trust it. These perceptions then influence how the message is understood and how recipients choose to respond.

Trust

In written communication, people often decide quickly whether something feels trustworthy. Before recipients fully evaluate a message, they may already be influenced by who sent it and how familiar and credible that sender seems. These signals allow individuals to quickly whether written communication seems legitimate. This reflects a broader tendency for individuals to assume legitimacy in everyday communication unless something signals otherwise (Levine, 2014).

Beyond who sends a message, how it reads matters. Communication that appears to be clear, confident and professionally written may be more likely to be trusted. Generative AI creates communication with these qualities, often with little effort from the sender. If the sender is not known, recipients may rely on the tone and structure of the content itself to decide if it is trustworthy.

This dynamic complicates responsibility in organizational communication. While generative AI can produce a polished and professional writing style, it can also blur authorship and intent. As AI-assisted writing becomes more common in organizations, trust is quietly being renegotiated. Over time, these moments affect how people read the message, the sender, and the relationship behind it.