As we move further into 2026, many leaders find themselves with a similar challenge, despite having invested heavily in AI tools, adoption is patchy and ROI is wide of the mark. They’re well aware of the unprecedented pace technology is evolving, but their people aren’t moving with it.

This gap could be about capability, but it’s also about confidence, belief and mindset. McKinsey’s 2025 State of AI survey¹ shows that whilst nearly 9 in 10 organizations are adopting AI in at least one function, over half are in early experimentation or piloting stages, suggesting employees aren’t yet confident using it in their day-to-day work. Gartner² goes further, highlighting that to achieve value from AI, leaders must balance human readiness and AI readiness to drive adoption and sustainable impact.

How to address this? Leaders need to enable their people to build the right mindset and capabilities to thrive, starting with crucially important human skills.

Why a successful AI mindset must focus on human skills

To unlock real value, people need to see and use AI as a sparring partner. One that challenges their assumptions, gives options they may not have considered and expands their own thinking. Unlocking the value of this requires human discernment and judgement, it needs to be guided with context, an ethical compass, empathy and the ability to make sense of nuance. Knowing when to lean into AI’s recommendations, and when to question, refine or override them, is a critical skill in its own right.

In a world where ‘intelligence’ is instantly available to everyone, it comes down to how AI is used, and this is where human skills have the potential to be a true source of sustainable competitive advantage. Organizations that combine their people’s intelligence with technological intelligence won’t just work faster; they’ll work smarter, with greater confidence and impact. And people with this human-centric AI mindset are more employable, and more valuable with future-fit skills.

5 steps leaders can take to build a human-centric AI mindset:

1. Understand what is blocking adoption

Before considering another tool or training module, be clear on what is holding people back from embracing AI tools. Is it fear? Cynicism? Perceived lack of relevance to their role? Or, not knowing how best to use it? Short, engaging mindset diagnostics such as employee listening sessions or an AI confidence self-assessment can surface the emotional, motivational and cultural barriers that traditional surveys miss, so the right interventions that stick can be used to overcome barriers.

2. Create a compelling narrative that connects, and embed it visibly

People need a simple, human story about what AI means for them, and the opportunity for them. Be explicit that AI is a partner that sharpens thinking and amplifies strengths, one that can free-up time for them to focus on more value-adding activities. The narrative should be visible and practical so it consistently and repeatedly reinforces why AI matters, showing up in all AI-related touchpoints such as leader toolkits, team talking points, and success stories and learnings from teams across the organization.

3. Build habits and allow people to experiment

Create knowledge, confidence, and encourage adoption through practical prompts, everyday nudges, peer sharing and role-specific examples to turn intention into habit. Short, creative learning interventions are far more effective than one-off training sessions. Psychological safety is also essential here, encouraging people to play around and experiment, reassuring them that they can build their skills and confidence in an environment where perfection isn’t expected. Leaders play a critical role here by modelling curiosity, experimentation and learning out loud.

4. Reinforce the importance of human skills alongside AI skills

Be explicit in guiding people how to apply human judgement and discernment. There’s no ‘one size fits all’ approach to applying their knowledge, so employees need confidence in when to trust AI and when to challenge it, especially in highly regulated and compliance-driven industries. Equipping them with prompt frameworks that also help assess and sense-check outputs will give them guardrails to help model the right approach. And keep showcasing best practice and progress to encourage adoption and lift skills further.

5. Listen, and involve people in shaping what comes next

Lightweight dashboards, pulse checks and focus groups can help leaders gauge changes in adoption, where confidence is growing, and where further interventions might be needed. By leaders giving people a voice, listening to what’s working and what people need more of, and acting on this, they create a feedback loop that involves their people in how they transform their relationship with AI.

Having the most advanced AI technology quite simply isn’t enough. It is those leaders who invest in their people to use AI with confidence, judgement and purpose who will be the winners.

Sources

1. The State of AI: Global Survey 2025. McKinsey. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
2. Gartner Survey Finds All IT Work Will Involve AI by 2030; Organizations Must Navigate AI Readiness and Human Readiness to Find, Capture and Sustain Value. https://www.gartner.com/en/newsroom/press-releases/2025-10-20-gartner-survey-finds-all-it-work-will-involve-ai-by-2030-organizations-must-navigate-ai-readiness-and-human-readiness-to-find-capture-and-sustain-value