AI is exploding, but so are the bills for it. Two years ago, the conversation revolved around adoption and whether enterprises would actually use AI daily. Today, the technology has achieved historic adoption rates, but now people are questioning whether the rapid adoption and usage of AI justify the high costs.
J.P. Morgan Private Bank’s market insight report highlighted that generative AI costs are rising like utility bills. Companies are moving away from per-seat enterprise subscriptions to activity-based pricing governed by token consumption. Complex tasks like multi-step AI agents reading documents and writing code are burning through compute and tokens at alarming rates and costs as token prices have surged. J.P. Morgan cited reports of large organizations running through their entire annual AI budgets before May, with software developers racking up hundreds of dollars, and some thousands of dollars, in individual token costs each month.
This has triggered a corporate playbook shift. Executives are scaling back unmonitored AI usage, moving away from blindly throwing computational power at problems, and pivoting aggressively toward ROI optimization. The industry is waking up to the reality that raw data and massive computational spend do not automatically equal business growth.
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