A global study by EY and Oxford Economics finds that many companies still rely on pilot projects and isolated artificial intelligence applications. The survey interviewed 2,500 technology leaders across 28 countries about their AI strategies and the business impacts they are seeing.
Experimentation outpaces deployment and measurement
Most respondents believe that automated and intelligent solutions create more value than firms can currently measure or demonstrate. The report notes that experimentation in many organizations is progressing faster than actual deployment, ongoing operation and performance measurement can follow.
Processes exist but are applied inconsistently
According to the report, more than half of companies say they have internal processes to assess readiness for AI adoption, but these processes are not used consistently in practice. Key figures from the survey:
- 2,500 technology leaders surveyed across 28 countries
- A majority of respondents say they cannot fully measure AI’s business value
- Only 33% regularly review whether their IT infrastructure is capable of supporting AI solutions
- Just 25% periodically audit data quality and reliability
The key to success
The analysis emphasizes that capturing the business value of AI investments requires companies to use intelligent systems for transforming whole business processes, to tie deployments to clear business objectives, and to measure outcomes with relevant performance metrics (KPIs).
Implications and next steps
The report’s findings suggest that until organizations establish consistent practices for infrastructure checks, data-quality audits, and deeper integration of AI into business processes, demonstrating the true business return on AI investments will remain difficult. EY and Oxford Economics therefore recommend strengthening measurement and deployment practices.
