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The current innovations in artificial intelligence (AI) have given birth to ChatGPT, an AI forecasted to bring tremendous changes across many fields capable of applying the technology. This paper researches the impacts of ChatGPT models on product management (PM) in Small and Medium-Sized Enterprises (SMEs). The paper employs qualitative research methodology involving an online interview among 78 participants (Product Managers) across different SMEs in the US. To understand the context of the paper, the researchers have provided an elaborated literature review that exclusively features the technology behind the operation of the ChatGPT model and the significance of PM in SMEs. The research used the SurveyMonkey tool to complete the interview and generate trends and patterns that align with the research objectives. Guided by the digital transformation framework, the research identified that PM had several departments (product strategy, product planning, product design, product development, product monitoring, and evaluation), all of which can improve performance when implemented with the ChatGPT model. The research concluded that ChatGPT significantly impacted SMEs’ PM with little challenges. This paper also suggests changes that SMEs should accept to undertake when implementing the ChatGPT model to ensure they experience the full benefits of the model.

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The Impact of Generative AI on Product Management in SMEs

  • 会议论文

  • 发表日期：

    2025年

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  • Devasis Pradhan,
  • Bibhu Dash,
  • Pawankumar Sharma,
  • Sameeh Ullah

摘要

The current innovations in artificial intelligence (AI) have given birth to ChatGPT, an AI forecasted to bring tremendous changes across many fields capable of applying the technology. This paper researches the impacts of ChatGPT models on product management (PM) in Small and Medium-Sized Enterprises (SMEs). The paper employs qualitative research methodology involving an online interview among 78 participants (Product Managers) across different SMEs in the US. To understand the context of the paper, the researchers have provided an elaborated literature review that exclusively features the technology behind the operation of the ChatGPT model and the significance of PM in SMEs. The research used the SurveyMonkey tool to complete the interview and generate trends and patterns that align with the research objectives. Guided by the digital transformation framework, the research identified that PM had several departments (product strategy, product planning, product design, product development, product monitoring, and evaluation), all of which can improve performance when implemented with the ChatGPT model. The research concluded that ChatGPT significantly impacted SMEs’ PM with little challenges. This paper also suggests changes that SMEs should accept to undertake when implementing the ChatGPT model to ensure they experience the full benefits of the model.