bgrass Inc. (Headquarters: Shibuya-ku, Tokyo; CEO/CTO: Tae-young Ham), provider of the Recruiting Agent OS "Fairpath" that streamlines HR tasks to just interviews, has released the "AI-Native Recruitment Service Chaos Map 2026," which deciphers the structure of the rapidly evolving AI recruitment market. ■ Background of the Chaos Map Release The utilization of AI in recruitment activities is currently at a new turning point. Up until now, AI applications in the recruitment domain have primarily focused on improving efficiency in individual tasks such as creating scout messages, optimizing job descriptions, assisting with document screening, and analyzing interview content. Their main role has been to supplement some of the tasks performed by humans and reduce the burden on recruitment staff. However, in actual recruitment sites, candidate information is often scattered across ATS, spreadsheets, Notion, chats, emails, RPO, and other communication channels. Many practical tasks, such as making selection decisions, scheduling, confirming with interviewers, and handling agent communications, are still managed manually. As a result, recruitment activities generate hard-to-surface operational losses, including data transcription, delays in confirmation, inconsistencies in judgment criteria, and oversights in candidate communication. These challenges cannot be fully resolved by simply improving individual tasks; a review of practical operations across the entire recruitment process is required. Amidst this market environment, towards 2026, interest in the recruitment AI market is shifting from specialized AI tools that assist with individual tasks to AI agent-based services that support and execute multiple recruitment tasks across different functions. We are moving towards an era where AI supports the entire recruitment process and autonomously advances practical operations. Overseas, concepts similar to AI Recruiting Agents and AI-native Recruiting OS are beginning to em