Measuring AI ROI at tool level is missing the point (www.techradar.com)

A recent discussion highlights the pitfalls of measuring AI return on investment (ROI) at the tool level, with up to 70% of UK businesses now employing or planning to adopt AI. Critics argue that this focus on granular measurements—examining tools license by license or seat by seat—often overlooks the broader strategic goals of AI deployment. Instead of assessing whether specific AI tools deliver financial outcomes, organizations should define the problems they aim to solve upfront. A clear understanding of how AI will transform decision-making and workflows is essential for deriving genuine value and ROI. The article emphasizes that successful AI implementation hinges on framing the conversation around defined objectives rather than tool-centric measurements. Businesses positioned to win by 2026 will prioritize problem-driven approaches, measuring outcomes like decision efficiency and customer experience improvements rather than superficial task-level metrics. As AI evolves from copilot to agentic systems, traditional ROI frameworks must adapt to capture meaningful changes in operational resilience and overall business impact, ensuring that investments in AI yield significant, lasting returns.