Enterprise AI agents: the surprising bill, disappearing models, and what CIOs are doing now
Summary
This article explains why enterprise AI agent projects are becoming more expensive and harder to operate at scale. It shows how autonomous agents multiply model calls, drive up inference costs, and create unexpected cloud bills. It also highlights the operational risk of model retirements, pricing changes, and vendor lock-in across major AI platforms. The piece argues that companies need model-neutral agent infrastructure, stronger governance, and portability if they want to deploy AI reliably.
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