AI-written Emails: Boosting Professionalism or Undermining Trust with Employees?

With over 75% of professionals now incorporating AI tools like ChatGPT, Gemini, Copilot, or Claude into their daily workflows, the question arises: are these tools truly effective for fostering communication between managers and their teams? A new study reveals a surprising paradox – while AI can enhance the professionalism of managerial communication, frequent reliance on it can erode trust with employees.

The research, involving 1,100 professionals, highlights a tension between how messages are perceived and how the sender is perceived. “We see a tension between perceptions of message quality and perceptions of the sender,” explains Anthony Coman, Ph.D., a researcher at the University of Florida’s Warrington College of Buisness and study co-author. “Despite positive impressions of professionalism in AI-assisted writing, managers who use AI for routine communication tasks put their trustworthiness at risk when using medium- to high-levels of AI assistance.”

Published in the International Journal of Business Communication, the study surveyed professionals on their reactions to emails presented as being written with varying degrees of AI assistance – low, medium, and high. Participants evaluated different AI-generated versions of a congratulatory message, assessing both the message itself and the sender.

Researchers found a notable “perception gap” between how AI-assisted messages where viewed when originating from managers versus employees.”When people evaluate their own use of AI, they tend to rate their use similarly across low, medium and high levels of assistance,” Coman clarifies. “However, when rating other’s use, magnitude becomes crucial.professionals view their own AI use leniently, yet they are more skeptical of the same levels of assistance when used by supervisors.”

While minimal AI assistance – such as grammar or editing suggestions – was generally acceptable, higher levels triggered negative perceptions. Employees questioned the authorship, integrity, caring, and even the competency of managers who heavily relied on AI.

The impact on trust was ample. Only 40% to 52% of employees perceived supervisors as sincere when using high levels of AI, a stark contrast to the 83% who felt that way with low-assistance messages. Moreover, while 95% considered low-AI supervisor messages professional, this figure dropped to 69-73% when supervisors leaned heavily on AI tools.

The study suggests employees can often detect AI-generated content and interpret its use as indicative of laziness or a lack of genuine care. When supervisors utilize AI extensively for messages intended to be personal – such as team congratulations or motivational communications – employees perceive them as less sincere and question their leadership capabilities.

“In some cases,AI-assisted writing can undermine perceptions of traits linked to a supervisor’s trustworthiness,” Coman notes,specifically referencing impacts on perceived ability and integrity,both crucial components of cognitive-based trust.

The research suggests managers should carefully consider the message type, the level of AI assistance employed, and the existing relationship with the recipient before utilizing AI in their writing. While AI may be appropriate for informational or routine communications like meeting reminders or factual announcements, relational messages require a more nuanced approach.

Is it ethical for a manager to use AI to respond to client inquiries without informing the client?

The Hidden Dangers of AI Emails: How They Can Erode Trust in the Workplace

The Rise of AI-Generated Dialog

Artificial intelligence (AI) is rapidly transforming how we work, and email communication is no exception. Tools leveraging generative AI, like those offering AI email writing assistance, promise increased efficiency and productivity. However, this convenience comes with a subtle but significant risk: the erosion of trust within the workplace. while AI in email can streamline tasks, its potential for misuse and unintended consequences demands careful consideration. This article explores the hidden dangers of AI-powered email, focusing on how it can damage relationships, create ethical dilemmas, and ultimately, undermine a healthy work environment.

Authenticity and the Human Touch: Why It Matters

Trust is built on authenticity. When colleagues believe they are communicating with a genuine person,a connection forms. This connection fosters collaboration, open communication, and a sense of psychological safety. AI email generators threaten this foundation by potentially masking the true author behind a facade of polished, yet impersonal, prose.

Loss of Personal Voice: AI tends to standardize language, removing the nuances of individual writing styles. This can make emails feel robotic and detached.

Diminished Emotional Intelligence: AI struggles with empathy and understanding subtle emotional cues. This can led to misinterpretations and strained relationships.

Perceived Dishonesty: If employees suspect emails are not writen by a real person, it can breed distrust and cynicism.

Reduced Collaboration: If employees rely solely on AI to draft emails, they may miss opportunities for spontaneous conversations and collaborative problem-solving.

Weakened Relationships: The lack of personal touch in AI-generated emails can hinder the progress of strong working relationships.

Increased Misunderstandings: AI’s inability to fully grasp context can lead to misinterpretations and conflicts.

Detecting AI-Generated Emails: A Growing Challenge

As AI technology advances,it becomes increasingly arduous to distinguish between human-written and AI-generated emails. While AI detection tools are emerging, they are not foolproof.

Sophistication of AI Models: Newer AI models are designed to mimic human writing styles more accurately, making detection harder.

False Positives: AI detection tools can sometimes incorrectly flag human-written emails as AI-generated.

The Arms Race: AI developers are constantly working to improve their models, while detection tool developers are trying to keep up, creating an ongoing “arms race.”

Time Savings: AI can automate repetitive tasks like drafting routine emails.

* Improved Grammar & Spelling: AI can help ensure emails are error-free