AI outputs can be misleading by appearing more accurate than they are.

AI shifts the meaning of expertise from generating answers to evaluating them.

The key skill for the future of work is making decisions with AI, not using it to make decisions entirely.

For the past few years, the conversation about AI at work has focused primarily on knowing how to use AI. Initially, that made sense. Incorporating AI into everyday operations meant knowing how to prompt, automate, streamline, and generate content efficiently.

Now, as AI tools are becoming embedded in many individuals’ everyday workflow, a different, more consequential skill is emerging, one that is far less discussed: the ability to make decisions with what AI gives us.

From Manual Work to Automation Overload

Until recently, much of professional work was constrained by time-consuming, manual processes: filling out spreadsheets, analyzing data, putting together engaging presentations, and creating content. In recent years, AI has fundamentally altered what individuals spend time on at work, making menial tasks easy to streamline and outsource to our favourite chatbot.

This shift has increased reliance on AI as an efficiency tool, and with it, our trust in AI for increasingly complicated and high-stakes decisions. The reasoning feels intuitive: If AI can reliably handle simple tasks, why not use it to assist........

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