1 link tagged with all of: autonomous agents + tokenomics + token pricing + budgeting + governance
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A Gartner report predicts AI coding expenses, driven by consumption-based token pricing, will exceed average developer salaries by 2028. Enterprises struggle with opaque billing and uncontrolled agent workflows, forcing CIOs to consolidate usage tracking and tie token consumption to business value.
- Gartner predicts AI coding tool costs will exceed average developer salaries by 2028 as consumption-based token pricing replaces flat subscriptions
- Only about 25% of C-suite leaders actually know what their AI systems cost to run, per KPMG
- Autonomous AI agents often run unmonitored for days, racking up premium-model token costs with no throttling
- KPMG recommends a "tokenomics" model tying usage to cost, ownership, and measured business value to avoid budget blindsiding