AI Strategy & Leadership Practical insights
Separate AI productivity gains from marketing growth
Build distinct business cases for AI productivity and growth, showing where saved time goes and testing commercial outcomes without double-counting benefits.
Faster marketing production and higher commercial returns are different benefits. An AI workflow may create useful capacity without increasing revenue, or improve conversion without saving time. Leadership needs separate evidence for each claim before combining them in an investment decision. Otherwise one promising result can be counted several times.
Measure the productivity mechanism
Compare the time needed to deliver work of equivalent accepted quality. Include prompting, checking, revisions and exceptions. If an analyst prepares a report faster but spends the saved time validating uncertain figures, the gross drafting gain overstates the net benefit. Vendor-reported efficiency findings provide hypotheses, not your baseline. [1]
Explain where capacity goes
Saved hours become a cash saving only when spending actually falls. They can instead support additional customer research, faster turnaround or a reduced backlog. Record the chosen use and whether it happened. Avoid valuing the same hour both as reduced labor spending and as labor used to create an extra campaign.
Test the growth mechanism separately
For a hypothetical campaign, AI-assisted creative may change response quality or relevance. Test the commercial outcome with an appropriate comparison and consistent measurement. Account for media spend, offer changes and seasonality. More assets or faster publishing is an intermediate activity; it does not establish incremental customer acquisition or profit.
Combine the cases transparently
Present net capacity change, realized cash change and measured commercial contribution as separate lines, with overlap removed. Label untested growth as an assumption and explain the observation period. If productivity is proven but growth is uncertain, approve the workflow on the benefit that is supported. This gives executives a credible reason to invest while preserving a clear question for the next experiment: whether the redeployed capacity creates additional value.
Sources and evidence
Sources checked on 4 October 2026. Proposed workflows and hypothetical examples are editorial analysis.
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