India, July 31 -- Enterprise AI is moving beyond experimentation, but scaling it requires far more than access to large language models (LLMs). As organisations modernise data centres, cloud environments and networking, industry analysts and technology providers increasingly view AI-ready infrastructure as a prerequisite for turning AI investments into measurable business outcomes.

Artificial intelligence (AI) spending is set to reach $2.52 trillion in 2026, a 44% increase over the previous year, according to Gartner. More notably, the research firm expects AI infrastructure to account for more than half of that spending, reflecting how enterprise priorities are shifting from experimenting with AI models to building the technology founda...