AI technology today focuses heavily on improving productivity, often at the expense of quality decision-making. From personal to professional settings, AI can speed up decision processes, but this often leads to poorer outcomes if the decisions themselves are not well-founded. This issue is compounded in corporate environments where executives may ignore sound advice from AI or analysts due to biases or the fear of appearing wrong, leading to significant losses. Moreover, even when AI provides accurate data, the lack of confidence in these technologies by leaders can render them underused. The article highlights the importance of prioritizing decision quality over sheer productivity, urging a shift in how AI is utilized and perceived in business strategies to prevent accelerating towards detrimental outcomes.

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