Despite theoretical promise, practical implementation faces serious hurdles, including data silos, fragmented legacy systems, and the opaque nature of many AI models. These issues limit data integration and reproducibility, raising risks that AI architectures may fail to deliver reliable, transparent solutions for complex societal problems without significant systemic overhaul and governance.