This study emphasizes the true driving factors behind the adoption of AI technology specifically for coding applications. We conducted a survey targeting faculty members in technology, information systems, computer science, and cybersecurity departments across all universities in the state of Maryland. For this investigation, the Technology Acceptance Model was selected as the guiding framework. Five key factors were examined as influences on the acceptance of ChatGPT use within Maryland universities: In this quantitative research, we identified several factors that influence the intended use of ChatGPT for coding purposes. A survey was conducted with a sample of 330 faculty members specializing in computer-related and technology fields, using Google Forms and Microsoft Forms platforms. We examined the impact of each factor on the adoption of advanced AI technologies within Maryland universities. Using SPSS and PLS statistical software for analysis, the findings revealed that faculty members in Maryland considered only one out of the two model variables to be significant. Specifically, one independent variable — serving as a valuable providing coding education — showed a positive correlation with the intention to adopt ChatGPT. The other factor — inhibiting software development was not found to be significant in influencing the decision to implement ChatGPT as a coding tool in the classroom. This study highlights that while ChatGPT offers notable advantages, it also presents certain challenges within the coding education environment. Further investigation into how students are engaging with ChatGPT could provide additional valuable insights.