AI shows up in different ways across your organisation – some people are only using it in their personal life, others are applying it every day in their professional role, and a few teams might be experimenting with focused AI projects or even building AI into core platforms. Your key leadership challenge is understanding where people are right now, what they need and want next, and how AI can add value at each stage. Recognise these different faces of AI in action, and you’re better placed to lead AI adoption, education, and integration.
https://swiy.co/go-ai-power-ups
As a leader, how are you and your people using AI?
Just in the last week, I’ve worked with three organisations using AI at very different levels.
One is a large Australian company that’s not using AI much yet, but planning to roll it out soon, across their workforce. But before they do, they want people to get comfortable with AI. So they brought me in to show people how to use AI in their personal lives – using ChatGPT for things like recipes, planning trips, and other personal tasks.
The second has departments spread around Western Australia, who brought their teams together for a conference. They want to use AI better in their professional roles – for things like drafting emails, writing newsletters, and dealing with people issues. You probably have people using AI in a similar way.
The third is more high-tech, with an IT team actively building AI into every aspect of their operations. They work in an industrial sector, and they’re building AI platforms that integrate with their core work and workflows.
All three uses of AI are valuable, and they sit at very different levels.
Consider your use of AI at four (not just three) levels:
1. Personal: Using AI in your personal life.
2. Professional: Using AI to improve, enhance, or optimise your day-to-day work.
3. Projects: A small group of people build some AI workflow or process that adds value to their team – such as adding a chatbot to HR documents so it’s easier for people to find information.
4. Platforms: The highest level, where you either build or buy AI platforms to support your core operations.
What levels are YOU working at?
What levels are your team working at?
Now, in 2026, more than three years after generative AI became widely available, people are still spread across all these levels. There’s nothing wrong with that, as long as you understand where people are, what they’re ready to learn, and where AI can add more value to their role.
For more about this, join my online presentation about AI for leaders in 2026 – including the do’s and (especially) don’ts in continuing to use AI in your workplace.
Register for the virtual masterclass:
https://swiy.co/go-ai-power-ups
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