AI and Cloud Readiness Is Rising, but Turning It Into Business Value Remains a Challenge
A new Unisys study reveals that while 90% of organisations possess the right technology architecture, converting these investments into measurable operational efficiency is proving difficult.
Organisations are becoming increasingly confident about their ability to support artificial intelligence and cloud initiatives, but a new Unisys study suggests that having the right technology foundation does not automatically translate into better business performance.
The Operational Reality Gap
The Unisys AI & Cloud Insights Report 2026, based on responses from 1,000 senior IT and business decision-makers across the US, Europe and Asia-Pacific, found that 90% of organisations believe they have the technology architecture required to support AI and cloud initiatives. That is a significant improvement from 72% reported in 2025.
However, the picture changes when organisations are asked about operational results. Only 65% said their operational efficiency is exceeding expectations, down from 80% a year earlier. The gap highlights a growing challenge for businesses: investing in modern technology is one thing, but converting those investments into measurable improvements is another.
Cybersecurity and the Trust Deficit
Cybersecurity is adding another layer of complexity. Nearly 49% of organisations surveyed reported experiencing a cybersecurity breach during the previous 12 months, compared with 17% in the earlier survey. At the same time, 93% said cloud security influences how much autonomy they are willing to give AI systems.
Agentic AI is another area where expectations are ahead of implementation. While 75% of respondents believe agentic AI will become important for managing cloud environments, only 23% have started scaling it across their organisations.
The findings suggest that the next phase of digital transformation will require more than technological readiness. Businesses will need to connect AI and cloud investments directly to efficiency, growth and business outcomes while maintaining strong security and governance.
For technology leaders, the message is becoming increasingly clear: being AI-ready is only the starting point. The real test is whether that readiness can deliver tangible value.
