Today we’re witnessing an interesting contradiction unfolding when it comes to AI – it is both overhyped and underhyped. There is an unprecedented wave of eagerness to capitalize on this technology, which thanks to the “coming of age” of foundation models has now reached a new, significant maturity threshold. While the excitement is partially driven by the success of pilots and sandbox tests that tease the material impact AI can deliver, to date only few companies have deployed successful generative AI (gen AI) use cases at scale and are seeing the positive impact of that investment on their bottom line. Many remain in the experimentation phase – for now.
But why is that? Complexity roadblocks.
