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In the past years, AI has seen many advances in the field of NLP. This hasled to the emergence of LLMs, such as the now famous GPT-3.5, whichrevolutionise the way humans can access or generate content. Current studies onLLM-based generative tools are mainly interested in the performance of suchtools in generating relevant content (code, text or image). However, ethicalconcerns related to the design and use of generative tools seem to be growing,impacting the public acceptability for specific tasks. This paper presents aquestionnaire survey to identify the intention to use generative tools byemployees of an IT company in the context of their work. This survey is basedon empirical models measuring intention to use (TAM by Davis, 1989, and UTAUT2by Venkatesh and al., 2008). Our results indicate a rather averageacceptability of generative tools, although the more useful the tool isperceived to be, the higher the intention to use seems to be. Furthermore, ouranalyses suggest that the frequency of use of generative tools is likely to bea key factor in understanding how employees perceive these tools in the contextof their work. Following on from this work, we plan to investigate the natureof the requests that may be made to these tools by specific audiences.

LLM-based Interaction for Content Generation: A Case Study on the Perception of Employees in an IT department