Natural Language Processing (NLP) is the emerging field research studies of the interaction between human and computing systems. With advancement of NLP techniques, machines are becoming increasingly proficient in understanding, generating, and manipulating natural language. This study conducts in depth analysis on using the advanced natural language processing systems using Generative Pre-trained Transformer 3 (GPT-3) in AI cover letter generator, additionally; the paper discusses the ethical implications of using GPT-3-based AI cover letter generators in the job application process, as well as the potential benefits and drawbacks of using GPT-3-based AI cover letter generators for job applicants. The objective of this research paper is to assess the potential effects of incorporating GPT-3 in AI cover letter generation as well as any ethical issues that may arise. Therefore we used research methodology that combines both methods: qualitative and quantitative research methods. The study was carried out in two phases. In the early phase, a qualitative content analysis was performed to examine the ethical implications of using GPT-3-based AI cover letter generators in the job application process and also highlight the potential benefits and drawbacks of using GPT-3-based AI cover letter generators for job applicants. In the second phase, a survey was conducted to generate various cover letters using GPT-3-based cover letter generators with a small sample size of data. To provide data to support that explore incorrect information that may occur when using a GPT-3-based cover letter generator, particularly if the company’s culture is not provided in the prompt. The information in this paper will help researchers better understand how artificial intelligence is used in the hiring process and potential effects it might have. The paper provides an introduction to cover letters and their importance in job applications, as well as an overview of natural language processing, generative pre-trained transformer models and development of GPT-3. The paper will be of interest to AI researchers, and anyone interested in the intersection of AI and the job application process.