This study explores how IT professionals in Bengaluru adopts and integrate AI tools into their professional lives. It examines the key factors that influence their attitudes towards these technologies, their intentions to adopt them, and the extent of their actual usage. The findings reveal a nuanced and interconnected relationship between these variables. Findings indicate that perceived usefulness significantly impacts attitudes and intentions towards AI tool adoption, emphasizing the importance of highlighting practical benefits in training initiatives. User-friendly design is important, but perceived ease of use alone may not strongly affect behavioural intentions. Interestingly, professionals who perceive their job performance as already high may show less willingness to embrace new technological tools. This underscores the importance of framing these tools as supportive aids that complement and enhance human capabilities rather than substitutes. Confidence in using such tools, often referred to as perceived self-efficacy, plays a crucial role in shaping both the intention to adopt them and their actual implementation. This emphasises the value of providing focused training and support to boost professionals’ confidence. Finally, recognizing and rewarding instances of AI tool contributions to job performance can further drive adoption and utilization. Overall, the study underscores the complex nature of AI adoption in Bengaluru's IT sector, offering valuable insights to cultivate a culture of innovation and enhance competitiveness.

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AI Tools Adoption and Utilization Impact: Extending TAM Framework and Exploring Relevance to Job Performance Among Bengaluru IT Professionals

  • Samuel Mores Geddam,
  • A. Ameer Hussian,
  • N. Nethravathi

摘要

This study explores how IT professionals in Bengaluru adopts and integrate AI tools into their professional lives. It examines the key factors that influence their attitudes towards these technologies, their intentions to adopt them, and the extent of their actual usage. The findings reveal a nuanced and interconnected relationship between these variables. Findings indicate that perceived usefulness significantly impacts attitudes and intentions towards AI tool adoption, emphasizing the importance of highlighting practical benefits in training initiatives. User-friendly design is important, but perceived ease of use alone may not strongly affect behavioural intentions. Interestingly, professionals who perceive their job performance as already high may show less willingness to embrace new technological tools. This underscores the importance of framing these tools as supportive aids that complement and enhance human capabilities rather than substitutes. Confidence in using such tools, often referred to as perceived self-efficacy, plays a crucial role in shaping both the intention to adopt them and their actual implementation. This emphasises the value of providing focused training and support to boost professionals’ confidence. Finally, recognizing and rewarding instances of AI tool contributions to job performance can further drive adoption and utilization. Overall, the study underscores the complex nature of AI adoption in Bengaluru's IT sector, offering valuable insights to cultivate a culture of innovation and enhance competitiveness.