Spending Without Proof: Why Closing the AI Accountability Gap Is Ireland's Defining Operational Challenge

By Jed Nykolle Harme

June 03, 2026

Photo Credits: Unsplash

AI investment is accelerating, but the ability to measure its impact is not. Comviva's Global CMO Survey Report 2026, titled The AI Efficiency Divide and based on surveys of more than 200 senior executives across telecommunications, retail and e-commerce, finds that 90% of organisations increased their AI marketing investments over the past two years, yet only 12% can quantify the revenue generated. For Irish business leaders, converting AI spend into provable operational value is now a board-level imperative.

The report is an operational excellence diagnostic as much as an AI survey. The investment is real; the measurement infrastructure to justify it is not. Comviva chief executive Rajesh Chandiramani described the shift clearly: AI is entering a phase where accountability and outcomes will define success, and the organisations building the right measurement frameworks will gain durable competitive advantage.

The accountability pressure is already arriving. The report finds that 86% of marketing leaders have been asked by their board or C-suite to justify AI spending in the past 12 months, yet only 16% are confident in defending their AI budgets with quantified business value. Nearly half of respondents reported AI marketing spending growth of more than 50% over the past two years. The gap between mounting scrutiny and inadequate proof is a governance risk no C-suite can afford to ignore.

The measurement challenge has structural roots. Some 67% of organisations cannot accurately determine the total cost of AI initiatives once infrastructure, talent and data expenses are included, while 79% rely on estimates rather than precise measurement. Key barriers include cost fragmentation, cited by 62%, difficulties attributing revenue directly to AI, cited by 58%, and a disconnect between customer experience improvements and measurable revenue outcomes, cited by 55%.

Where measurement is in place, the results are instructive. Customer segmentation and targeting emerged as the leading revenue-generating AI use case, cited by 57% of respondents, followed by campaign automation at 43% and predictive personalisation at 41%. In Ireland, where AI adoption is accelerating across financial services, retail and technology, these use cases represent the clearest path to demonstrable AI return on investment.

Three operational priorities emerge clearly from the Comviva findings. First, establish unified AI cost tracking that captures infrastructure, talent and integration expenditure, not just software spend. Second, link AI deployment to specific measurable commercial outcomes before investment is approved. Third, prioritise use cases with established measurement precedent: segmentation, automation and personalisation offer the clearest path from spend to proof.

The Comviva report confirms that competitive advantage from AI accrues to organisations that can measure it, not simply to those that invest. Irish leaders that build the governance and measurement foundations now will be best placed to realise and defend their AI returns.

(The views expressed by the writer are his/her own and do not necessarily reflect the views or positions of BusinessRiver.)