The Dataset of Balancing Profit and Purpose: The Societal Implications of AI in Business - 303 Records - 2025

The application of artificial intelligence (AI) in business operations marks an important transformation in how companies create value, compete, and interact with society. This study examines two aspects of AI in the context of business and corporations: its ability to improve efficiency and drive innovation, and its risks of exacerbating social inequality and ethical issues. Based on recent studies, we investigate how businesses manage the conflict between profitability and social responsibility, particularly regarding workforce displacement, ethical data use, and the exclusive dangers of biased AI systems. We emphasize the variation in AI adoption across sectors, arguing that there is no universal approach to its implementation. Instead, we propose a framework highlighting the need for ethical insight, inclusive design, and strategic alignment between AI implementation and human-centered values. Ultimately, this study supports a business model where AI fulfills economic objectives and contributes meaningfully to equitable and sustainable social progress. Using a comprehensive online survey conducted with a dataset consisting of 303 participants in Indonesia (April 22-June 14) via SmartPLS4 software to test our proposed model.