Uber’s experience highlights a new enterprise AI challenge: adoption can scale faster than an organization’s ability to measure economic value. As companies move from AI pilots to widespread deployment, the question is no longer whether employees will use AI — it is whether every AI investment can justify its cost. Generative AI is changing the economics of enterprise technology. Every inference request, AI agent execution and model interaction can create recurring costs, while cloud infrastructure, GPUs, data, security, integration and governance add to the total cost of delivering AI. The economics that made an AI pilot look compelling can look very different at enterprise scale.

Full report : AI adoption can get expensive fast, so CIOs need to know which models, workloads and use cases are actually worth the spend.