AI adoption at scale is hard. Just look at India, which processes about 20 billion transactions every month 

Investment in AI has accelerated exponentially. Capital has poured into chips, data centers, and new models. New models are released at a steady pace, and spending continues to rise.

Yet across sectors, many organizations are reaching the same conclusion. Adoption is proving harder than invention, especially for general-purpose technologies, as it once was for electricity. As a result, AI adoption remains on the sidelines. Systems exist, but changing how work actually gets done is far more difficult.