
The initial, explosive era of artificial intelligence, characterized by spectacular advancements and unbridled enthusiasm, has given way to a more sober and pragmatic period of reckoning. Across the technology landscape, the conversation is shifting from celebrating novel capabilities to confronting the immense strain AI places on the foundational pillars of data, infrastructure, and established business models. Organizations now face a










