IBM CEO warns against rationing AI tokens

The author argues that enterprise AI strategies should avoid rationing tokens and instead focus on optimizing costs through software caching, utilizing open-weight models on controlled infrastructure, and maintaining an internal AI operating layer. By addressing repetitive reading tasks and matching workloads to appropriate models, companies can achieve higher token yields and run AI at scale sustainably. Open article →