How can AI scale culture change?

How can AI scale culture change, without losing what makes us human?

That’s the question we explored recently with a group of executive leaders in our Leader Insights session co-hosted with Elie Rashbass from ScultureAI, our AI culture coach partners.

The leaders we spoke with came from diverse industries and disciplines, yet they shared a consistent set of challenges, opportunities and priorities. We heard how leaders recognise that AI and culture are intertwined, while also grappling with both and sometimes they were experienced as competing agendas rather than complementary forces. This article captures the key themes and insights from the session, alongside our perspective on how AI can help scale culture change.

The context

As the level and rate of change increase, culture has become more critical, with 71% of global CEO's saying culture is the top factor influencing financial performance (Heidrick 2023). Yet less than one in four employees report high levels of culture embeddedness at their organisation (Gartner 2024).

Across many leadership conversations, a consistent priority is keeping human connection at the heart of culture, as a conscious counterbalance to AI becoming increasingly integral to business operations. Yet managers spend nearly 40% of their time solving problems for today and on administrative tasks, with only 13% of their time spent developing the people who work for them (Deloitte 2025). The opportunity is that AI advancements can free people from routine work and enable more creative, autonomous, and trust-based collaboration, thus expanding leaders' time and attention on their people, culture and strategy.

Senior leader themes

From our Leader Insights session four themes consistently emerge. The first two focus on what it takes to integrate and scale AI successfully, such as aligning AI with business strategy and developing practical, engaging use cases that build digital capability and readiness for the future. The latter two explore how organisations can combine human and AI strengths to advance leadership, team development, strategy, and culture, ensuring technology enhances, rather than diminishes, what makes us distinctively human.

1. Strategy: Aligning, enabling and embedding AI ROI

The challenges: Running multiple fragmented AI initiatives across different business functions without a clear direction, having a separate AI strategy from the overall business strategy, and employees needing to build digital literacy rapidly.

Perspective on the future: AI demands a reset of business strategy, not a separate digital or technology plan, but a reimagining of how the organisation creates value in an AI-enabled world. Developing data literacy and AI fluency at all levels is critical, embedding AI into daily work as part of the organisational norm.
Leaders need to be in the driver's seat, intentionally designing AI-integrated strategies grounded in clear business outcomes, pragmatic use cases, and robust data foundations.

Data accuracy, accessibility, and governance remain essential to achieving both business performance and AI ROI. Ultimately, it’s time to go beyond just what AI can do for organisations (tasks and business) to consider how AI can make leaders better, more strategic, human, and future ready.

2. Starting small and scaling capability

What works: Building AI maturity requires starting small, proving value, and scaling at a pace that fits the organisation. Early successes, such as automating administrative tasks, builds confidence and demonstrates that learning occurs through hands-on experience.

Perspective on the future: Adoption depends on clear benefits for people and teams; it needs to be tested and integrated into the workflow to be effective. As AI takes on routine work, leaders' roles are to enable their people to evolve, focusing on strategic thinking, connection, and enablement.

3. Culture and inclusion: Balancing human and AI strengths

Key questions: What is the right mix of human and AI? What do we want to keep 'human in the loop' and where can agentic AI lead? How does this relate to the emotional push-pull of AI being seen as an opportunity, creating an undercurrent of fear and uncertainty about job security and shifting roles, that could, if not addressed openly, undermine trust.

Perspective for the future: Leaders must recognise and respond to these concerns with transparency and empathy. There is a risk in outsourcing too much of the human experience to AI, as trust and inclusion still rely on genuine conversations and empathy. Feedback remains essential to connection, with AI helping standardise and accelerate processes but not replace dialogue (for instance, in performance management). There is also a need to guard against bias, both human and algorithmic, while ensuring AI enhances belonging, fairness, and collective purpose.

4. Human adaptation: Leadership and cultural evolution

The challenges: Adapting to AI requires leaders to evolve, fostering curiosity, guiding change, and ensuring that technology serves both a human and strategic purpose. This requires a maturation of our human cultures and leadership capabilities to work with AI in solving cultural challenges, such as listening to the quiet voice in the room or re-educating traditional mid-level and frontline workers to focus on solving high-value problems.
However, this calls for discernment, avoiding a blanket application of AI, which risks creating sameness and eroding human uniqueness and diversity, while leveraging AI's strengths in personalisation to enhance the relevance of learning and development within the flow of work.

Perspective on the future: Leaders will increasingly treat data as a strategic asset, utilising AI to identify skill gaps, measure sentiment and target development. It is important to remember that AI learns, not thinks, and its effectiveness depends on the human intent behind it. The opportunity for leaders is to harness AI as a cultural amplifier; combining human judgement with machine intelligence to strengthen performance, connection, and shared values.

 

Our WDI perspective

Culture remains our most advanced form of human technology, built through relationships, trust, and shared meaning. The opportunity now is to combine human connection with collective intelligence, using AI to enhance rather than replace what makes us human.

This belief and joint capability are at the heart of our partnership with ScultureAI and our integrated culture change approach, which brings deep expertise across the three stages of culture change:

1. Define your culture blueprint and behaviour frameworks,
2. Engage leaders on the why and how of role modelling the culture shift, and guiding the change journey, and
3. Empower culture makers at all levels to live the culture in each conversation and interaction.

Embedding an AI coach into the workflow, calibrated to an organisation's unique behaviours and leadership principles, represents a powerful application of behavioural science.

The use of the personalised AI coach across the organisation also provides real-time, anonymised insights into how culture is lived, enabling leaders to measure behavioural adoption and respond dynamically to shifts in engagement and alignment.

At WDI, we have partnered with clients on culture change for over 20 years. Bringing the depth of our expertise in shifting mindsets and behaviours together with a specialised AI culture coach and real-time measurement of cultural adoption and ROI is genuinely exciting. For our clients, the benefit is practical; enabling culture change at all levels, and improving how culture is adopted across the organisation.

If you are exploring how technology-enabled, human-centred culture change can accelerate leadership effectiveness and business performance, get in touch with us for a conversation.