Every major technology shift is, at its core, a human story. Machines themselves don’t change the workplace; people have to use them for there to be an impact.
So, while AI is touted as a revolutionary workplace force, that potential is being held back by slow adoption. As Gallup research shows, the share of US employees using AI every day has crawled from 10% to 12% in the last year. Likewise, recent research shows that AI adoption in the UK is still slow, with roughly 16% – 20% of businesses actively using AI as of early 2026, while 80% have no current plans to adopt it.
Despite the ubiquity of tools like ChatGPT and Microsoft’s CoPilot, awareness has clearly not dominoed into behavioral change. Why? Because for AI to be genuinely useful, people need to feel safe, supported, and trusted using it.
With that in mind, based on my experience of helping to build an AI culture, here’s how leaders can empower their employees to embrace AI with confidence.
What a high‑adoption, low‑risk AI culture looks like
Before going into the steps behind building a high-performance culture, it’s helpful to know what the end goal looks like. High AI adoption is not just lots of people using new tools. It’s a culture where AI is woven into the rhythm of work, and where that use is responsible by design.
At our company, we realised we were moving in the right direction when:
- AI became embedded in the flow of everyday work: The majority of people use AI as part of their core workflows, with clear standards on where AI use is appropriate, along with embedded processes for reviews and approvals.
- Teams used authorised tools by default: Teams have (for the most part) stopped using shadow AI and instinctively reach for authorised platforms because they are the easiest and most effective way to get work done.
- There was a sense of psychological safety: People feel empowered around when to use and not use AI, with confidence around data privacy and regulation.
- Leads reported measurable improvements: Team leaders will be able to gauge tangible gains from their teams, such as time saved or an increase in the number of outputs.
An AI change management framework for leaders
So, how do you get there? As the saying goes, change takes time; don’t attempt to roll out all these manoeuvres overnight. Take a phased approach, giving your team time to adjust, adapt and build trust in your chosen set of AI tools.
- Structured learning – Don’t assume that people already know how to prompt well or where AI should fit in their job. We started by giving everyone baseline AI literacy training, covering topics like AI’s core capabilities and the basics of prompt writing. From there, we built training around concrete tasks and processes, so examples were immediately usable after training.
- Process and workflow redesign – Training builds awareness, but it’s processes that encourage repeat use. Work with the different team leads in your business to map their key processes and decide where AI should sit. These leads can then guide their teams to use AI-enhanced workflows, with human reviews and oversight factored in to ensure accuracy and quality.
- Governance and guardrails – While you want your people to feel empowered to use AI, you also need to ensure they do so ethically and securely. You’ll need to create and share clear, plain‑language policies on what data can (and can’t) be shared with AI tools, along with clear guardrails on sanctioned tools.
- Peer leadership – It’s important to lead by example to catalyse AI adoption. We facilitated this by selecting AI champions in each function and geography. These should be people who use your sanctioned AI tools the most often.
Once assembled, we encouraged these individuals to act as peer coaches: hosting show-and tell sessions on how they use AI in their roles and contributing to playbooks that can be shared company-wide.
- Measurement and continuous improvement – As with any new initiative, you only know what’s working if you measure it. Metrics like tool adoption and time saved will show where things are going well, or could be going better.
Remember, too, that AI is fast moving. This framework isn’t a set-and-forget exercise. It’s something to come back to as new tools and capabilities emerge.
Using a global AI Day as a catalyst
All of the above measures will help you steadily build an AI culture. To accelerate momentum, we found it helpful to take a deliberate pause from business‑as‑usual, bringing the company together for a dedicated “AI Day” focused solely on upskilling.
These events are a chance to build trust and confidence through a mix of peer‑to‑peer learning and external training. You might pair external expert‑led sessions with workshops run by your internal AI champions, creating space for people who don’t usually collaborate to share what’s working and practice using your approved tools.
Making AI capability part of how you operate
AI is undoubtedly a huge cultural shift for organisations in every sector. These tools are going to change the fabric of work, with real potential to lift both efficiency and productivity. But whether your business is able to grab those benefits depends on your people.
Having sanctioned tools and policies is a great start. The more important work is bringing your people on the journey with you, and this is just as much about change management principles as it is the technology that underpins the change.
