Gartner predicts that by the end of 2027, over 40% of agentic AI projects will be canceled. This forecast stems from a mismatch between stakeholders’ expectations and the reality of implementing agentic AI—systems capable of autonomous decision-making and action. Key factors driving these cancellations include poor change management, data quality issues, and insufficient alignment of business goals with technology capabilities. Companies often overestimate the readiness and maturity of their AI strategies, leading to unrealistic project scopes and timelines. To mitigate these risks, organizations are advised to prioritize careful planning, continuous evaluation of AI technologies, and alignment of stakeholder ambitions with achievable outcomes. The report underscores the necessity for a grounded understanding of agentic AI’s potential and limitations to improve project success rates.
Source link
Share
Read more