Professional Specialization And AI Adoption In Accounting: Evidence From Palakkad District

This article examines how professional specialization influences the adoption and perception of Artificial Intelligence (AI) tools among accounting professionals in Palakkad district, Kerala.Drawing on data from 106 accounting professionals across CA, CS, CMA, and ACCA qualifications, the study employs Kruskal-Wallis tests and Two-Way ANOVA to analyze variations in AI tool usage and perceived opportunities and challenges.The findings reveal significant professional group differences: Company Secretaries (CS) demonstrate the highest usage of automated bookkeeping software (Mean Rank = 72.36)and AI-driven financial analysis tools (Mean Rank = 72.55),while perceiving the greatest opportunities from AI adoption (M = 4.000).Conversely, ACCA professionals report the lowest usage of these tools (Mean Ranks = 37.16 and 35.59 respectively) and the lowest opportunity perceptions (M = 3.620), with the CS-ACCA difference proving statistically significant (p = .042).Cost Accountants (CMA) perceive the most significant challenges in AI implementation (M = 3.790), though challenge perceptions remain uniform across all professional groups (p = .279).Depth of AI knowledge significantly influences opportunity perceptions (p = .035),with "Very Knowledgeable" professionals (M = 4.018) perceiving greater opportunities than those with limited knowledge (M = 3.710), establishing a critical knowledge threshold for enhanced optimism.The study contributes to understanding how professional identity shapes technology adoption patterns and provides recommendations for targeted professional development initiatives emphasizing deep AI literacy.