<![CDATA[This study investigates the impact of Artificial Intelligence (AI) adoption on the financial performance of banking and insurance firms listed on the Indonesia Stock Exchange from 2020 to 2024. Using a quantitative explanatory framework, the research analyzes a sample of 230 observations. AI adoption was measured through disclosure intensity in annual reports, while financial performance was evaluated across three dimensions: operational efficiency (BOPO), financial stability (Z-Score), and firm value (Tobin’s Q). A Fixed Effect Model was employed for statistical analysis, as dictated by the Hausman Test results. The results indicate that AI adoption has a significant positive impact on operational expenses (BOPO), suggesting that high infrastructure costs and initial implementation expenditures currently outweigh efficiency gains. However, AI adoption also shows a significant positive impact on firm value, supporting Signaling Theory, where investors reward digital transformation despite short-term costs. No significant impact was found on financial stability. These findings confirm an AI Productivity Paradox in the Indonesian emerging market, where the high cost of implementation creates a temporary financial burden but yields a market innovation premium.]]>
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