GoKawiilIBM Study Finds AI Reshaping Software Performance Testing, But ROI Lags
IBM's Institute for Business Value surveyed 2,000 CEOs across 33 countries and found 61% say their organizations are actively adopting or scaling AI agents, including in performance testing. Yet the same study found only 25% of AI initiatives have delivered expected returns and just 16% have scaled enterprise-wide, meaning much of the performance-testing use case remains unproven despite broad adoption intent.
GoKawiil's interpretation of the reporting above, not reported fact.
The gap between adoption and measurable ROI suggests many companies are deploying AI testing tools without restructuring the data pipelines or workflows needed to realize gains, according to the discussion of the IBM findings. This indicates the technology itself may be ready before organizational processes are, which could explain why scaled success remains rare even as experimentation becomes near-universal.
- 61% of surveyed CEOs report active adoption of AI agents, per IBM's 2025 CEO Study.
- Only 25% of AI initiatives have met expected ROI, and just 16% have scaled enterprise-wide.
- Performance testing is shifting from scheduled checkpoints to continuous, AI-driven anomaly detection as usage patterns become less predictable.
Source: entrepreneur.com — Mudit Singh, 2026-10-13
Published there as: “How AI Is Helping Companies Catch Performance Issues Before They Turn Into Major Incidents”
Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.