Request Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo, Representative Director: Tomoyasu Kobatake), which provides organizational behavior science® to companies, has organized new survey results on the characteristics of the top 1% of people who achieve results in the AI era, based on behavioral observations of 338,000 individuals and 980 companies. * The illustrated materials for these survey results can be downloaded from the bottom of this release. What has become clear from this survey is that simply being able to operate generative AI in detail does not fully explain the differences in performance. Generative AI has made it easier to quickly generate 'How' – the means – such as text creation, summarization, comparison, document creation, illustration, and idea generation. On the other hand, for jobs with no single correct answer, or where there isn't just one correct answer, AI outputs are unlikely to lead to results without 'What' – the purpose – and 'Why' – the background: what is the objective, why is it necessary, and whose state will be changed. In the behavioral observations of 338,000 individuals and 980 companies, what began to be seen in the top 1% who move work forward was not proficiency in AI itself. It was the ability to read the underlying assumptions and causal relationships from facts gathered through interactions with the field and others, identify problems and values that have not yet been articulated, frame them as objectives, and translate them into language that can be given to AI. This survey's results organize signs that the value of people working in the AI era is beginning to shift from the ability to perform tasks to the ability to transform facts gained from experience into objectives and backgrounds. Key Survey Findings This survey, through behavioral observation and analysis of 338,000 individuals and 980 companies, identified the following five common signs in the top 1%: 1 With generative AI, 'How' – the means – has become easier to