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Emotional intelligence doesn’t drive AI adoption—but shapes how it’s used

Think EQ determines who uses AI? Think again. The real surprise is how emotional intelligence transforms how—not if—people rely on AI in their jobs.

The image shows a drawing of a group of people sitting around a table in a room, with a paper in...
The image shows a drawing of a group of people sitting around a table in a room, with a paper in the center of the image containing text. The people in the drawing appear to be engaged in conversation, with some of them looking intently at the paper.

Emotional intelligence doesn’t drive AI adoption—but shapes how it’s used

By 2030, around 60% of jobs could look very different from today. Emotional intelligence is set to become a key skill in adapting to these changes. Yet new research suggests that how often people use AI at work has little to do with their emotional smarts.

A study of 993 working professionals found no clear link between emotional intelligence and AI adoption. The results showed no meaningful connection between EQ and daily AI use, with a correlation of -0.03. Weekly AI use also showed no pattern, registering a near-zero correlation of -0.00.

Factors like job role, industry demands, and company policies appear to drive AI adoption far more than emotional traits. While some feared that low-EQ employees might misuse AI, the data revealed no such trend. However, past cases—such as a lawsuit against Deloitte over AI-generated errors in a $1.6 million report—highlight the risks of poor oversight.

The study did note one key difference: emotionally intelligent workers tended to use AI more carefully. They were more likely to double-check outputs and recognise when human judgement was needed. This suggests EQ may influence how AI is used, even if it doesn’t affect whether it’s used at all.

The findings challenge assumptions about who embraces AI in the workplace. Emotional intelligence doesn’t determine whether someone adopts the technology, but it may shape how effectively they apply it. As AI reshapes jobs, organisations may need to focus on training—not just in tech skills, but in decision-making and oversight.

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