The new economics of AI for government

Description

Token consumption is becoming a defining factor in the economics of government AI. As agencies adopt advanced and

autonomous AI systems, overall costs can continue to rise even as model pricing declines.

Success will depend not only on model performance, but on how AI workloads are designed, deployed, and governed. This

solution brief explores how architectural decisions like workload placement and local-first execution can help agencies improve

token efficiency, strengthen data governance, and scale AI across edge, data center, and cloud environments.