Why AI Projects Fail: Groundbreaking Survey Uncovers Crisis of Trust in Underlying Content

Core Insights - eGain announced findings from a survey on the state of AI in 2025, highlighting significant concerns regarding AI adoption among executives and knowledge managers [1][2] AI Adoption Challenges - 61% of respondents identified erroneous or inconsistent answers as the primary barrier to successful AI adoption [2] - Gartner warns that all generative AI projects lacking integration with modern knowledge management systems are likely to fail in achieving customer experience and operational cost-reduction goals [2] Importance of Trusted Content - eGain's CEO emphasized the necessity of trusted content for successful AI applications, stating that both AI and knowledge are essential for organizations to thrive [3] - The survey results underscore the critical role of trusted content in driving successful AI initiatives [3] Performance Improvements - Companies utilizing the eGain AI Knowledge Hub reported significant operational improvements, including a 24% reduction in Average Handle Time (AHT) and a 57% decrease in Average Wait Time (AWT) for member calls [4] - Additionally, agent satisfaction scores increased by 22% as a result of implementing trusted knowledge solutions [4]