The economics of the borderless Lakehouse and agents

The borderless Lakehouse redefines enterprise AI economics by delivering compounded savings across data transfer, compute, and token consumption. By utilizing Cross-Cloud Interconnects and zero-copy sharing, you bypass fragile data pipelines and unpredictable egress fees to query remote datasets at a flat, predictable rate. Knowledge Catalog filters and delivers the precise, minimal business context required for each prompt, preventing token bloat and eliminating unnecessary reasoning loops. BigQuery AI prevents runaway agent billing through built-in token controls that let you estimate token usage pre-query, enforce strict limits, and leverage an optimized mode that automatically uses smaller, distilled models. In fact, customers are seeing 230x reduction in token consumption using BigQuery’s cost-optimized, built-in AI functions.