AI can transform both workplace efficiency and educational outcomes, but only when wielded with clear objectives and human-centred design; otherwise, without purpose, these tools don’t solve problems, they amplify them.
In my recent article for The AI Journal, I explore how overusing AI often leads to an overload of unfocused content—dashboards, reports and drafts that still demand intensive human review. By contrast, targeted applications like speech recognition in language learning demonstrate how AI can surface insights and empower users to focus on meaningful judgment rather than administrative tasks.
I also delve into the critical importance of training people alongside models, not simply rolling out generic upskilling platforms. As I note, We’ve seen learners thrive when they’re supported by the right mix of structured content, human coaching, and AI insights. This nuanced approach requires time, commitment and a shift from technology-first to people-first thinking.
I invite you to reflect on where your organisation might be deploying AI for its own sake, and how you can reorient towards purposeful use. Read the full article to discover practical strategies for cutting through the noise and truly enhancing performance.
Leave a Reply