AI project numbers vary by enterprise, influenced by goals, budget, readiness, tech stack, and workforce. Companies average 21 AI projects, but there's no definitive count for optimal projects. Leaders should assess alignment with business objectives, prioritize high-ROI projects, and avoid overspending. Many firms are consolidating AI initiatives amidst cost pressures and market volatility, with a focus on effective use cases while trimming ineffective ones.
https://www.ciodive.com/news/enterprise-AI-project-sprawl-bloat-expansion-spending/757604/