Key findings

IT leaders must delve deeper to leverage AI, reinforce security governance and target significant budget gains.

A business woman in a data center holding a tablet, looking to the right inspecting the equipment
Purple pixelated arrow

Transform AI pilots into enterprise value

While many organisations experiment with AI, most remain stuck in pilot or trial phases. In 2026, CIOs must lead efforts to scale from arbitrary proofs of concept to production-ready AI solutions that deliver measurable ROI.

Managing AI control and usability requires a clear understanding of the ramifications for cybersecurity and compliance landscapes. IT leaders should establish an AI governance framework to ensure safe, ethical and compliant use. 

Purple pixelated arrow

Reinforce security for external threats and 
internal risks

Cybersecurity is a core priority. Protecting against the evolving threat landscape is becoming increasingly regulated and expensive. More sophisticated phishing attacks, automated vulnerability scans and rapidly adapting malware continue to advance courtesy of AI. Organisations must ensure proper governance and educate employees on in-house AI use to prevent serious internal risks.

Purple pixelated arrow

Target effectively to optimise the IT budget

Optimising IT infrastructure costs is an age-old challenge. Balancing technical upgrades, hardware refreshes, performance, reliability and security within tight budgets requires precision. Too many organisations try to tackle a wide range of cost savings at once, often with poor or limited effect. Instead, identify two or three areas of IT focus to make a significant financial impact.