Noujoujin Inc., which promotes the fusion of agriculture and new technologies, conducted the "Agricultural AI Utilization Status Survey 2026" targeting 100 agricultural professionals and released the results on July 3, 2026. When 100 agricultural professionals were asked about "how they are using or want to use AI" (multiple responses allowed), the most common answer was "efficiency in recording, documentation, and administrative tasks" such as daily reports, report writing, and email correspondence, with 48 people (approximately half) selecting this option. In contrast, "cultivation management and on-site decision-making," including judgment of growth status, cultivation planning, and pest/disease response, was selected by only 12 people, or 10%, showing a fourfold difference. Current usage and specific intentions for utilization are concentrated on administrative tasks, revealing that AI in the agricultural field is penetrating from "the office" rather than "the field." With the number of core agricultural workers falling below 1 million (※1) and farm sizes expanding, the next challenge for the industry is how to extend AI utilization, which began with administrative tasks, to on-site cultivation decision-making. Amidst the core agricultural workforce falling below 1 million, how is AI being used in agriculture? According to the "2026 Agricultural Structure Dynamic Survey" (as of February 1, 2026) released by the Ministry of Agriculture, Forestry and Fisheries on June 30, 2026, the number of agricultural management entities nationwide was 799,700, a 4.4% decrease from the previous year, falling below 800,000. Furthermore, the number of core agricultural workers in individual management entities was 986,600, a 4.8% decrease year-on-year, with an average age of 67.7 years, falling below 1 million people (※1). On the other hand, the number of corporate management entities increased by 2.4% compared to the previous year. Additionally, for all agricultural management e