According to Zhitong Finance APP, on October 14, the official announcement for the 2026 national civil service examination recruitment was released by central government agencies and their affiliated institutions. The age limit for applicants has been further relaxed, with the upper age limit raised from the previous 35 years to 38 years, while 2026 fresh master's and doctoral graduates can apply up to age 43, with a total planned recruitment of 38,100 positions.
This relaxation of application requirements directly activated the potential interest of working professionals in the 36-38 age group. With less than two months remaining before the national examination, this demographic faces multiple challenges including fragmented study time, the need for rapid knowledge consolidation, and urgent preparation schedules. Standardized courses often struggle to meet the different foundational levels and study rhythms of this newly eligible group compared to previous candidates.
Against this backdrop, short-term sprint products that can provide precise and efficient services demonstrate unique advantages. Therefore, educational institutions capable of quickly responding to policy changes and providing efficient preparation solutions are expected to gain first-mover positioning in this adjustment round.
Since the beginning of this year, AI-led intelligent preparation solutions have gradually become a key development direction in the vocational education industry. To date, FENBI (02469) has successfully launched a series of AI teaching products including FENBI AI Teacher, premium AI interview evaluation, civil service AI practice system classes, public institution AI practice system classes, and AI smart speakers.
On October 15, FENBI's AI Practice Sprint Class product will officially launch. Its technical solution has been validated through multiple iterations in FENBI's flagship products such as system classes. Compared to traditional standardized models, personalized and dynamically adjustable sprint solutions are better positioned to meet the differentiated needs of newly eligible candidates.
Through precise diagnosis to quickly identify candidates' knowledge weaknesses, FENBI AI Practice Sprint Class can dynamically adjust subsequent study plans based on different users' real-time learning data, and continuously optimize learning paths through ongoing data feedback, further helping users assess their learning situation, address shortcomings, and maximize preparation efficiency.
Notably, as AI applications in educational scenarios mature, the vocational education market is evolving from standardized, large-scale models toward personalized, refined service approaches. "AI+" products with rapid response capabilities and differentiated service advantages may occupy important positions in this round of market transformation.