AI trust gap threatens digital transformation momentum

To what extent do you personally trust having AI (including GenAI) embedded into key processes in your company?

While 58% of executives trust having AI embedded into key processes to a limited or moderate degree, only 29% express high confidence This trust gap suggests significant untapped potential in an increasingly AI-driven business landscape, where deeper conviction could accelerate competitive advantage.

To accelerate trust-building and AI adoption, organisations need a three-pronged approach:

• First, establish AI governance frameworks that balance innovation with risk management. With the EU AI Act and the Digital Operational Resilience Act (DORA) setting new global standards for AI governance and operational resilience, organisations need robust protocols for AI deployment, clear ethical guidelines and comprehensive testing procedures. Getting ahead of these regulatory requirements can turn compliance into competitive advantage.
• Second, invest in AI literacy across leadership teams. When executives understand AI’s capabilities and limitations firsthand, trust naturally follows. This includes hands-on exposure to AI tools and regular updates on successful use cases within industry.
• Third, take an incremental approach to AI integration. Start with low-risk, high-impact processes where success can be clearly measured. Use these wins to build confidence and create internal case studies that demonstrate value while addressing concerns.

While current trust levels are encouraging, there’s significant potential to build deeper confidence in AI integration. Organisations that systematically strengthen trust in AI while maintaining appropriate safeguards will be better positioned to harness its transformative potential.