AI-Native Gap Metric

The AI-Native Gap is a StackSwap metric that measures what percentage of a team's stack is composed of legacy or pre-AI tools that have strong AI-native or modern alternatives. It is computed from the same tool list and swap rules used in StackScan: tools that appear in the AI_SWAPS map (e.g. ZoomInfo, Jasper, Drift) count toward the gap. The result is expressed as a percentage and color-coded (e.g. green for low gap, amber/red for high). The metric is benchmarked against industry and team size so users can see how they compare to typical stacks in their segment.

StackScan and the StackScan both display the AI-Native Gap on score cards and in the report. StackSignal can aggregate gap distribution by industry for market-level insight. The metric gives a single, interpretable number that supports prioritization (e.g. "reduce legacy exposure") alongside overlap count and savings.

Teams care about modernizing their stack without guesswork. The AI-Native Gap metric and benchmarks help them understand where they stand and how much room there is to adopt AI-native tools. It positions StackSwap as an authority on measuring and improving AI adoption in GTM stacks.