The new economics of enterprise AI

MIT Technology Review
Read the full article
Enterprise AI is evolving from isolated experiments to a core business infrastructure, shifting focus from cost per token or GPU-hour to the effective cost per useful business outcome. Companies choose among bespoke stacks, on-demand consumption, or integrated private AI platforms based on workload needs, balancing flexibility, cost, and efficiency. Ownership of AI infrastructure requires operational discipline to maximize value, similar to owning a high-performance vehicle needing skilled use.

More in Business & Enterprise

OpenAI cuts its valuation target to $1.25tn as it nears a $30bn round

The Next Web