We reviewed many AI project failures, and this is the pattern most of them clearly show.

Many AI projects fail because autonomous AI systems are entirely trusted, leading to unresolved underlying issues as models are designed for perfect conditions, not complex production environments. This results in significant investments often yielding no measurable results.