53.3% of Companies Using Recruitment AI Find It 'Not Functioning,' TalentX Survey Reveals; 'Candidate Experience' is Key to Success

TalentX Inc. conducted a 'Survey on the Use of AI in Recruiting Activities' targeting HR professionals at companies with 500 or more employees.

While approximately 60% of Japanese companies have now introduced AI into their recruitment activities, the reality is that this AI utilization has not yet led to a transformation in recruiting. The key to transformation lies not in 'merely introducing AI tools,' but in 'designing AI utilization centered on the candidate experience.' Our company advocates for an evolution towards 'AI Native Recruiting,' where HR and AI co-create by demonstrating their respective values, by overcoming the limitations of partial tool optimization and integrating the entire recruitment flow.

■ Key Survey Findings

This survey revealed that as AI adoption in recruitment reaches 58.3% and becomes widespread, the key to unlocking the true potential of recruitment AI lies in the 'quality of design.'

- AI is used but 'not functioning' — Despite 58.3% of Japanese companies using recruitment AI, 53.3% of HR professionals report their workload has not changed or has increased after AI implementation. 51.3% do not quantitatively track ROI, indicating AI is not being used effectively.
- Recruitment AI needs 'role allocation' — In 67.9% of companies, the division of roles between AI and humans is unclear. Nearly half lack a clear direction for AI utilization, revealing a structural issue where workflows have not been designed with AI in mind.
- HR needs to provide a high-quality 'candidate experience' — 59.8% of candidates said their interest in a company would decrease if they felt AI was being used solely to reduce workload. Meanwhile, 40.1% expect 'dialogue that shows a deep understanding of them,' shifting HR's value towards the 'quality of candidate experience' enhanced by AI.

1. AI is used but 'not functioning'

58.3% of companies utilize AI in recruitment, primarily for talent pool formation tasks like creating job postings and scout messages, followed by operational tasks like document screening and matching. However, it's clear that simply adding AI does not improve candidate experience or reduce workload, and recruitment operations have not changed dramatically.

2. Recruitment AI needs 'role allocation'

In 67.9% of companies, the division of tasks between 'work for AI' and 'work for humans' is unclear. Furthermore, about half of the companies lack a clear direction for using AI to meet recruitment goals and address challenges, and have not redesigned their workflows to premise AI utilization. The key to leveraging AI to improve recruiting capabilities is not 'tool introduction,' but 'designing AI utilization based on recruitment strategy and outcomes.'

3. HR needs to provide a high-quality 'candidate experience'

From the candidate's perspective, 59.8% stated their interest would decrease if they perceived that AI was used in the selection process solely for HR's workload reduction. Moreover, as AI becomes more prevalent, what candidates most want from recruiters is 'dialogue that shows a deep understanding of them.' Using AI is not the problem; rather, the piecemeal introduction of tools can convey a mechanical approach to candidates. From the HR perspective as well, the required skills in the coming era are 'data analysis and insight generation' and 'empathy and dialogue skills.' Co-creation where AI and HR leverage each other's strengths leads to providing a high-quality candidate experience.

■ 'AI Native Recruiting' to Improve Candidate Experience and Reduce HR Workload, and the 'MyTalent Platform' to achieve it

This survey shows that recruitment AI still holds great potential. The key to unlocking that potential is 'design.'
- End-to-end data integration from scouting to post-employment performance.
- A system where AI continuously learns from accumulated data.
- 'Personalized experience design' based on an integrated understanding of a candidate's background and preferences.
- A 'role shift' that allows HR to focus on judgment and engagement.

Fulfilling these four structural requirements achieves both improved candidate experience and reduced HR workload. The embodiment of this 'design' is Japan's first AI-native recruiting platform, 'MyTalent Platform.' The 'MyTalent Platform' seamlessly connects fragmented recruitment data and candidate experiences, functioning as an infrastructure where AI constantly provides optimal insights. Our company offers the following functions to maximize career potential by having AI analyze and provide insights on candidate preferences.

- Visualization and notification of job change intent (in 'MyTalent CRM'): Manages 'past connections' such as past-declined candidates and event attendees in a data pool. By analyzing behavioral history like site visits and email opens, AI automatically detects 'the moment they become interested in the company again.' AI guides the optimal 'timing for re-engagement.'
- Contextual matching from application documents (in 'MyTalent Hire'): AI estimates the affinity between a candidate's experience/skills and job requirements from the context of their application. For example, it can infer management experience or potential from the description, regardless of the presence of the word 'leader,' leading to matching that leverages the candidate's new possibilities.

This frees HR from the confusion of 'how to use AI' and from routine tasks, allowing them to return to the essential recruitment activities focused on candidate experience: 'identifying a candidate's potential and engaging them at the optimal time.'

■ Japan's First AI-Native Integrated Talent Acquisition Platform 'MyTalent Platform'

'MyTalent Platform' is Japan's first AI-native integrated talent acquisition platform that provides an all-in-one solution for sustained acquisition of top talent. Built on a recruitment CRM, it highly integrates all functions from branding to talent pools, referrals, and candidate management. AI functions not just as an efficiency tool, but as a strategic core engine for designing personalized candidate experiences (CX), supporting the entire process from attraction to relationship building, selection, hiring, and post-hire success.

The core concept of 'AI Native Recruiting' is 'AI drives connections, humans drive engagement.' By having AI autonomously handle administrative tasks and matching judgments, HR professionals can focus on essential, human-centric tasks such as 'building personalized relationships' that align with each candidate's values, 'deeply conveying the company's appeal,' and making 'final decisions' that affect the organization's future.