AI pricing rides the token rollercoaster as usage climbs
TL;DR Summary
Firms selling AI services struggle to price them because token usage is non‑deterministic and varies with prompts, models and multi‑agent workflows; even as per‑token costs fall, total token consumption is rising, pushing vendors toward flat fees, bundles, or usage‑based pricing while awaiting howbig platform pricing shifts will affect budgets.
- Artificial intelligence: Why firms are struggling to set prices BBC
- What Are Companies Getting for All That A.I. Spending? The New York Times
- ‘How ‘tokenomics’ is forcing companies to rethink going all-in on AI Baton Rouge Business Report
- Workplaces look for cheaper AI as ‘tokenmaxxing’ fades as a corporate fad AP News
- Tokenmaxxing Is Dead. Now Comes the Belt Tightening Bloomberg.com
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