Reports indicate that many artificial intelligence projects fail to progress beyond the pilot stage, with a significant percentage of initiatives missing their goals. The reasons for this failure are not entirely clear, but common mistakes and issues with execution and architecture are cited as possible factors. Various industries, including pharmaceuticals and supply chains, are reportedly affected, with some estimates suggesting that up to 80% of projects may be failing to launch or deliver value.