Why US Workers Are Saying Please and Thank You to AI

Imagine walking into your office and seeing a colleague who never sleeps, remembers everything, and processes data in milliseconds. Now, imagine that same colleague is a piece of software, yet you still find yourself saying, “Please,” and “Thank you” every time you ask it for a spreadsheet. You aren’t alone. In a surprising shift in workplace psychology, a significant majority of professionals are now treating their AI tools with the same courtesy they’d extend to a human teammate.

Recent data from a TripleTen and Talker Research survey of 2,000 U.S. Office workers reveals a fascinating trend: 86% of AI-using employees use polite language when interacting with generative AI. While it might seem like a waste of keystrokes, this behavior signals a deeper evolution in how we perceive the boundary between human intelligence and synthetic processing.

The Rise of “Digital Etiquette”: Why We Are Polite to Code

For many, the habit of saying “please” isn’t about the AI’s feelings—since we know LLMs don’t have them—but about the user’s own mental framework. About 64% of workers believe that maintaining basic courtesy is fundamental. But why?

Some users believe in a “technical reward” system. A portion of respondents suggested that polite language actually improves the quality of the output, arguing that AI is more likely to respond correctly when prompted with courtesy, even if the core instruction is slightly flawed. While prompt engineering usually focuses on specificity and context, the “politeness layer” may be acting as a psychological bridge for the user to structure their thoughts more clearly.

Beyond the output, there is the “character” argument. Some professionals fear that being rude to a machine might bleed into their real-world interactions. By treating AI with respect, they are essentially practicing the habits of professionalism, ensuring that a culture of courtesy remains a default setting in their brain, regardless of who—or what—they are talking to.

The Corporate Divide: Executives vs. Staff

One of the most striking revelations from the research is the gap in perception between the C-suite and the cubicle. There is a clear divide in how different levels of corporate hierarchy view the “identity” of AI.

Executives are far more likely to embrace the idea of AI as a peer. Roughly 81% of executives are open to viewing AI as a legitimate coworker. In contrast, only 39% of general staff feel the same. This suggests that leaders view AI as a strategic partner or a “force multiplier” for their vision, whereas employees may view it more as a tool—or perhaps a potential competitor for their role.

This disparity could lead to future frictions in management. If leadership begins to treat AI as a “team member” with delegated authority, while the workforce views it as a mere utility, we may see a new kind of workplace tension centered around “algorithmic management.”

From Tool to Teammate: The Future of Anthropomorphism

We are moving toward a world of “Synthetic Colleagues.” Currently, 23% of workers have already adopted a fully human-like relationship with AI, and 87% of that group views the technology as a genuine personal assistant. This is a leap from using a calculator to having a Chief of Staff.

As AI evolves to include more emotive voice synthesis and personalized memory, the “tool” mindset (held by 41% of workers) may dwindle. We are likely to see the emergence of Emotional Prompting, where users tailor their tone to elicit specific “personality” traits from the AI to better suit the task at hand—authoritative for editing, empathetic for brainstorming, and clinical for data analysis.

This shift will likely impact emotional intelligence (EQ) in the workplace. Leaders who can effectively manage both human and synthetic collaborators will be the most valuable assets in the next decade of digital transformation.

FAQ: AI Etiquette and Workplace Trends

Does saying “please” actually make AI perform better?
Technically, AI doesn’t have emotions, but it is trained on human data. Polite, well-structured requests often align with high-quality professional communication found in its training set, which can result in more polished outputs.

Why do executives view AI as a coworker more than employees do?
Executives often focus on high-level orchestration and delegation. For them, AI functions as a high-level assistant or consultant, whereas employees often interact with AI to perform specific, repetitive tasks, making it feel more like a tool.

Is treating AI like a human a bad thing?
Not necessarily. Anthropomorphism can make technology more accessible and reduce the learning curve. However, the key is maintaining a balance—recognizing the AI’s utility while remaining aware of its lack of true consciousness and accountability.