Free report·
The AI ROI Measurement Gap
Why most engineering teams can't prove their AI investment pans out
88% of technology leaders say they currently measure the impact or ROI of the AI tools, models, or services their teams use, but only 39% are measuring AI impact through formal or automated processes.
This report, drawn from SlashData's 31st Developer Nation survey, examines how technology leaders experience and evaluate AI value today: how they rate what it delivers, whether they measure it, and how formal those measurements are. The findings are based on 2,341 professional developers working in leadership positions. It establishes that while 80% of technology leaders use AI-assisted tools and 75% rate them as valuable, a measurement gap persists: 88% claim to measure AI ROI, yet only 39% do so through formal or automated processes, with 41% relying on defined but manual approaches and 17% on informal methods. The report also shows that measurement rigour and perceived value move together — teams with no measurement rate AI as valuable at 59%, rising to 85% among those measuring formally — and that formal measurement only becomes the dominant approach at the 501-1,000 employee mark.
Key findings
- The vast majority (80%) of developers in leadership roles (technology leaders) are using Al-assisted tools, and 75% rate them as valuable.
- 88% of technology leaders who use Al-assisted tools claim to measure Al ROI, but just 39% do so through formal or automated processes. The majority are relying on manual or informal approaches that are structurally vulnerable to deprioritisation, recency bias, and CFO scrutiny.
- Teams with no measurement in place rate AI as valuable at 59%. Among those measuring through formal metrics, that figure rises to 85% - a 26-point gap. Whether measurement drives that perception or reflects it, the association is consistent and significant.
- Teams without systematic tracking are far more likely to remain unsure about Al's value. That uncertainty is its own obstacle, not just to internal confidence but to the budget conversations that determine whether Al investment continues at all.
- Formal measurement only becomes the dominant approach at the 501-1,000 employee mark. Even among the largest enterprises, manual processes remain a close second.
Questions this report answers
How many technology leaders use AI-assisted development tools?
As of Q1 2026, an estimated 80% of professional technology leaders are using AI-assisted development tools, agents, or chatbots in their workflows, and 75% of them rate AI tools as valuable or extremely valuable relative to the cost and effort required.
Do technology leaders measure the ROI of their AI tools?
An overwhelming 88% of technology leaders say they currently measure the impact or ROI of the AI tools their teams use, while 12% do not measure it at all.
How formal is AI ROI measurement among software teams?
Only 39% of technology leaders measure AI impact through formal or automated processes; 41% describe their approach as defined but manual, and 17% operate informally.
Does measuring AI ROI relate to how valuable teams find AI?
Yes. Among teams with no measurement in place, only 59% rate AI as valuable, compared with 78% among those that measure, and 85% among those measuring formally.
At what company size does formal AI measurement become the dominant approach?
Formal measurement only becomes the dominant mode around the 501-1,000 employee mark (47%), though manual measurement remains a close second even among organisations of 10,000+ employees.
Who it's for
- Technology leaders building a credible AI investment case
- Engineering and product leaders benchmarking AI measurement maturity
- Finance stakeholders scrutinising AI tooling budgets