The Impact of AI on Corporate Venture Building: Pathways to Success

The rise of Artificial Intelligence (AI) is transforming industries, including how corporations innovate and build new ventures. From research and development to market entry, every stage of a new venture’s life cycle is increasingly influenced by AI. This thesis examines the impact of AI on Corporate Venture Building (CVB), a modern ap-proach to innovation that integrates entrepreneurial methods with corporate resources to create new ventures. It explores how AI is embedded in CVB processes, identifying critical success factors and pitfalls. The analysis emphasizes horizontal integration—AI’s application across functions and stages—while addressing vertical integration as a complementary perspective. The research includes a literature review of common corporate innovation models, the evolution of CVBs, and their frameworks. It also investigates recent advancements in AI and its role in enhancing venture-building processes. Using expert interviews and case studies from various industries, the study uncovers practical insights into applying AI in CVB while addressing chal-lenges such as organizational resistance and ethical concerns. The findings culminate in actionable guidelines and a strategic blueprint for implementing AI-driven CVB models. By bridging theory and practice, this thesis offers a roadmap for leverag-ing AI in venture building, contributing to both academic discourse and corporate innovation strategies.