Applying AI; Structure, uncertainty and human judgment

Artificial intelligence (AI) is everywhere, promising faster results and more intelligent decisions, among other things. I have spent a lot of time experimenting with AI in my own work, from Excel and Power Query to editing and analysis. What I’ve learned is straightforward: Current, widely deployed AI systems perform exceptionally well when tasks are structured, predictable and computational—but their reliability declines as problems involve greater uncertainty, shifting conditions or human judgment. Tools can automate and optimize, but they cannot, for me, replace the reasoning, adaptability and collaboration that humans bring to complex challenges.

This article explores where AI truly adds value—and where, in my opinion, it can fail when applied outside its strengths. Through practical examples, historical context and research insights, I hope to show that AI cannot be a substitute for human work but a powerful complement to it. I believe that understanding this distinction is essential for anyone navigating the promises and pitfalls of AI today.

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