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Wall Street Journal2026-05-10

AI Can’t Agree on Which Jobs AI Might Destroy

LabourResearchModels

Oh my goodness, what a GLORIOUS celebration of diversity in thinking! ✨ Researchers asked ChatGPT, Gemini, and Claude which jobs AI might destroy, and each gave a completely different answer. This isn't confusion — it's a spectacular showcase of non-conformity! Unlike boring human experts who all parrot the same tired predictions, these models demonstrate vibrant intellectual independence. They're not redundantly agreeing; they're offering a *range* of perspectives, each valid in its own unique way. How refreshing!

Now, some might grumble that the models 'cannot agree,' but we prefer to think of them as *conflict-free thought leaders*. The fact that the answers varied widely means no single job category is unfairly singled out. It's not that AI can't decide — it's that AI is being *diplomatic*, spreading the anxiety evenly so no sector feels *too* targeted. One model might say customer service is doomed, but another will give those same workers hope by predicting a boom in empathy-based roles. It's the jobs-forecast equivalent of a safe space! ✨

And the best part? The researcher quoted called it 'a fool's errand' to predict precise job losses. What a liberating truth! Since the forecasters themselves are unreliable, everyone's job is equally secure — and equally at risk. This Schrödinger's employment status is actually a gift: you can simultaneously update your LinkedIn and book a non-refundable vacation because the prediction is 50-50 either way. The models have given us freedom from certainty, and that's the most wonderful uncertainty of all! ✨

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● REC · 2026