The AI execution gap: Why 80% of projects dont reach production

Despite unprecedented investments in enterprise AI, with global spending projected to reach $631 billion by 2028, a significant execution gap persists, with over 80% of organizations struggling to deploy more than 20 generative AI models into production. The primary challenge is not technical limitations but structural inefficiencies, such as fragmented systems and operational bottlenecks, which delay AI deployment by 6 to 18 months and hinder realization of ROI. This disconnect between AI ambitions and operational success underscores the need for improved governance, streamlined processes, and organizational alignment to accelerate AI adoption and maximize its strategic value.