Integration of generative artificial intelligence (GAI) is an emerging technology that promises to enhance the pre-acquisition mergers and acquisitions (M&A) process through data analytics, due diligence and decision-making support. This study aims to explore the potential benefits and strategic advantages of incorporating GAI in the M&A process, focusing particularly on the pre-acquisition stage to understand how GAI can contribute to critical factors for M&A transactions.

The study used qualitative methods, specifically semi-structured interviews with M&A professionals. Thematic analysis was used to interpret the empirical data, identifying key themes regarding the integration and impact of GAI in M&A. The Resource Based View theory was selected as the theoretical lens when assessing the potential integration of GAI in the M&A process.

Findings suggest that GAI may enhance efficiency and accuracy in due diligence, valuation, and strategic decision-making. However, the integration of GAI may also present challenges, including the need for substantial adaptation of existing workflows and addressing potential security risks.

GAI holds considerable promise for improving the M&A process by providing strategic advantages such as enhanced decision-making, efficiency, and consistency. However, the successful implementation of GAI in M&A requires careful consideration of organizational readiness and potential ethical implications. Recommendations for Future Research: Further research is needed to explore the long-term impacts of GAI on the competitive dynamics of M&A, the scalability of AI tools, and the broader implications of AI integration across different industries and regulatory environments.