<![CDATA[The rapid integration of generative AI in digital creative workflows has raised questions about technology acceptance and artistic identity. This cross-sectional explanatory survey investigated how generative AI acceptance (GAA) and perceived artistic authenticity (PAA) jointly predict creative intentions (CI) among digital artists and illustrators in Jakarta. Data were collected from 200 participants across all five administrative areas of Jakarta between March and June 2026, using a 15-item Likert-scale questionnaire. Multiple linear regression with heteroscedasticity-consistent standard errors (HC3) served as the primary analytic approach. Both GAA (B = 0.480, β = 0.487, 95% CI [0.364, 0.596], p < .001) and PAA (B = 0.243, β = 0.231, 95% CI [0.114, 0.372], p < .001) were positively and significantly associated with creative intentions. The full model explained 38.7% of variance in CI (adjusted R² = 0.368), with both predictors accounting for an additional 36.8% of variance beyond control variables (ΔR² = 0.368, F-change = 57.88, p < .001), while the control-only model showed negligible explanatory power. These findings demonstrate that acceptance attitudes and authenticity perceptions function as distinct and additive correlates of AI-assisted creative intentions, contributing to the understanding of technology acceptance in artistic practice. Practical implications for art education and community training are discussed.]]>
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