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Your boss might be bluffing about how much AI knowledge they really have

23% of bosses could be lying about their AI skills, and yet nearly half say they value AI skills more than formal qualifications.

Your boss might be bluffing about how much AI knowledge they really have

Recent research by Emergn indicates that a significant number of UK senior leaders may be exaggerating their understanding of AI. According to the study, up to one in four (23%) of these leaders could be deceiving others about their AI knowledge. This deception may stem from a desire to avoid embarrassment or discomfort, as 38% of respondents believe their career prospects could be negatively impacted if they do not enhance their AI skills within the next year.

Despite their own claims of expertise, 43% of senior leaders actually place a higher value on AI skills than formal qualifications.

The survey reveals that the pressure to demonstrate AI proficiency is causing stress among leaders. A quarter (22%) of those surveyed feel anxious about the rapid changes AI brings to their industry, while an equal proportion feel overwhelmed by AI's impact on their roles. It is common for leaders to downplay their lack of understanding, fearing that admitting ignorance might make them appear incompetent.

CEO Alex Adamopoulos highlights the difficulty of acknowledging one's limitations when the responsibility is typically placed on the individual in charge.

However, the study suggests that the responsibility for improving AI literacy should not solely fall on senior leaders. Only 43% of respondents claim to have received significant AI training in the past year, leaving room for doubt about who should be responsible for upskilling. Emergn advocates for training programs that focus on practical problem-solving, rather than merely theoretical knowledge.

They also stress that AI is a new technology affecting everyone, and leaders must be willing to learn openly and acknowledge their own knowledge gaps.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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