AI is moving from promise to payback. No longer optional, artificial intelligence is now a board-level priority for organizations determined to lead in a rapidly evolving marketplace. The latest KPMG CEO Outlook 2025 confirms what we hear from clients and partners:
- Most CEOs expect AI ROI within 1 to 3 years.
- Nearly 70% plan to allocate 10-20% of this year’s budget to AI.
- Top focus areas include responsible AI, data quality, and talent readiness.
The Trust Gap: Why It Matters
AI is no longer just about automating tasks. It’s now about helping organizations become more adaptive, intelligent, and value-driven. This transformation depends on people trusting the technology, and even more, trusting leaders to use it responsibly.
Trust is important and arguably the foundation for the transformation towards AI-driven organizations, as we shift from seeing it as just another tool to a true driver of growth. When people feel trusted to use AI and confident in their own roles, they’re more likely to see AI as an opportunity, not a threat. The future belongs to organizations that combine scalable intelligence (AI) with emotional and cultural intelligence (EQ and CQ).
The Solution: The “AI Trust Accelerator” Program
To move beyond just incremental change but truly transform, organizations can benefit from a tangible, practical approach to building trust in AI. We suggest three main solutions in the way we can close the trust gap and set a new standard for responsible AI adoption:
1. Create a Safe Learning Environment
- Experiment Experiment Experiment: Encourage experimentation through launching, for example, internal AI hackathons, training days, and ‘sandbox’ environments where employees can build new agents or use AI in their daily tasks, without fear of failure.
- Be Free to Make Mistakes: Show that it is okay to make errors and that this is part of the learning process. When people know it’s okay to make mistakes or that it’s acceptable to collaborate with technology, they’re more likely to innovate.
- Lead by Example: Senior leaders should be visible participants in these AI learning initiatives, showing that curiosity and experimentation are valued at every level.
2. Start Small, Show Quick Wins
- Stat with Practical Projects: Begin with small, but high-impact tasks, like using AI to read reports or summarize complex and long documents.
- Demonstrate the Value of AI: Share larger and smaller success stories, showing tangible outcomes to build confidence and momentum.
- Scale What Works: Use early wins to inform broader AI adoption within the organization, always keeping the focus on how AI made human skills better (not replacing them).
3. Foster Open Dialogue
- Address Concerns Internally Directly: Create environments for employees where they can ask questions and express concerns, such as “What does increased AI adoption mean for my role?”
- Be Transparent All the Way: Clearly communicate to all people within the organization how AI will be used, what it means for different roles in different departments, and how it creates new opportunities for them and for the company.
- Point Out AI Champions: Assemble a group of people, from different parts of the company, as AI ambassadors who can support and share their experiences to help others. They can organize AI hackathons, Q&A’s and training programs.
The Next-level Approach: Institutionalizing Trust
Real change and transformation happen when trust-building is not a one-off initiative, but a core part of your organizational DNA. We’ve seen success from creating and formalizing the elements of an ‘AI Trust Accelerator’ program in a structured way, which combines:
- Leadership training on responsible AI and change management
- Employee upskilling and certification in AI literacy
- Transparent governance frameworks for ethical AI use
- Regular feedback loops to measure trust and adapt strategies This approach closes the gap by making trust in AI the cornerstone of your strategy. You encourage your people to improve themselves, creating greater impact on the business, driving innovation, and delivering sustainable growth.
The Bottom Line
AI isn’t just about technology; it’s about culture. When curiosity is encouraged, fast failures are seen as learning opportunities, and trust is at the heart of your approach, people feel empowered to use AI to amplify their impact. That’s how you turn AI into a true driver of growth, for people, but also for driving outcomes and for the business.
Ready to accelerate trust in AI? Let’s build the future—together.