A recent study has found that more than 90 percent of organizations have experienced failures in their AI initiatives, with the primary issue linked to the production of low-value outputs that do not support core objectives. The report suggests that many projects move forward without adequate alignment between technology capabilities and business priorities.
For decision makers, the findings highlight the importance of governance, evaluation, and clear expectations. Successful AI investment requires more than proof-of-concept demonstrations; it demands sustained attention to implementation quality and measurable outcomes.
