According to Gartner , at least 30% of generative AI projects will be abandoned after proof of concept due to escalating costs, poor data quality, or unclear business value. There are a lot of factors working against them, and too often failure happens when teams are right in the middle of building. They’ve spent significant time, money, IT capacity on something that may very well have been doomed from the start.