AI token optimisation as a workforce strategy: The capability CEOs must build before the AI cost daemon takes over
By Shaakun Khanna, Senior Advisor, AI & Leadership Transformation, SHRM
For the past two years, organizations have been racing to integrate artificial intelligence into everyday work. Companies have invested heavily in AI tools, launched enterprise-wide training programs, encouraged experimentation, and celebrated rising adoption rates as a sign of digital transformation success. The assumption was simple: the more employees used AI, the more productive and future-ready the organisation would become.
But as AI adoption matures, a quieter challenge is beginning to surface inside boardrooms and finance teams. Every interaction with an AI system carries a cost. Every prompt, uploaded document, generated summary, automated workflow, and AI agent action consumes tokens. Individually, these costs seem negligible. Collectively, across thousands of employees and millions of interactions, they are becoming a significant operational expense.
This is pushing organisations into a new phase of AI transformation—one that is less about adoption and more about optimisation....
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