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All Journal International Journal of English and Applied Linguistics (IJEAL)
Dwiky Darmawan
Universitas Nasional Karangturi
Education Languange, Linguistic, Communication & Media

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The Professionals' Perceptions and Reliance on AI for Writing Business English Message : A Mixed-Methods Study in Semarang, Indonesia Dwiky Darmawan
International Journal of English and Applied Linguistics (IJEAL) Vol. 6 No. 2 (2026): Volume 6 Number 2 August 2026
Publisher : ITScience (Information Technology and Science)

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Abstract

This mixed-methods study explores how young professionals in Semarang, Indonesia, view and depend on artificial intelligence (AI) tools when communicating with others. While the use of AI is growing in emerging economies, the correlation between professionals’ perceptions, their level of trust, and their actual reliance on AI for business communication is still not well understood. The research seeks to answer: How do young professionals in Semarang perceive and rely on AI for writing business communication, and what factors shape this correlation. This study employed a concurrent mixed-methods design. Quantitative data were gathered from 30 participants aged 17 to 33 using a 15-item, 5-point Likert scale (M = 52.97, SD = 7.14). Qualitative data were obtained through semi-structured interviews with three participants. The data analysis involved descriptive statistics, t-tests, ANOVA, Pearson correlation, and thematic analysis. The results revealed an overall favorable view of AI as a tool for writting business message, with notable differences based on gender and occupation—engineers and marketing professionals showed higher levels of dependency on AI. The qualitative analysis uncovered a theme of strategic "functional dependency," where AI is viewed as a capable but junior assistant. Participants expressed caution when using AI for high-value tasks and called for industry-specific explanatory features. These findings indicate that professionals are adopting a cautious and pragmatic form of AI reliance, using it to complement—not replace—human judgment. The study discusses implications for AI development and professional training in evolving work environments.
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