The token cost reckoning arrives in the CFO’s office.

In this research report from Futurum Research and Google Cloud, discover the architectural and financial strategies needed to optimize your AI investments and build a sustainable cost structure:

  • Measure what counts: Move beyond usage charts to calculate true cost per successful run — accounting for retries and idle orchestration time.

  • Optimize software levers first: Cut token bills by 60–80% by mandating engineering efficiencies — like reusing data, routing routine tasks to cheaper models, and capping failed attempts — before committing capital to new hardware.

  • Match silicon to the task: Shift coordination to efficient CPUs and dynamically schedule accelerator capacity to eliminate costly idle headroom.

  • Align finance and engineering: Equip the CFO’s office with the four critical questions every leadership team should ask their CIO before committing capital to long-term AI infrastructure.

Download Now
















    I would like to receive email and telephone communications about product & offerings from Google & its Affiliates. I understand I can unsubscribe at any time. *

    Sign me up to receive news, product updates, event information and special offers about Google Cloud from Google. I understand my personal data will be processed in accordance with Google's privacy policy.

    Scroll to Top