Evaluation of AI-powered Interviews Shows Significant Generational Gap: 20s-30s Express Expectation, 50s-60s Show Caution.

RJC Research Co., Ltd. (Headquarters: Minato-ku, Tokyo; Representative Director and President: Yuki Fujimoto; hereinafter 'RJC Research'), a consolidated subsidiary of Impact Holdings Co., Ltd. and engaged in the marketing research business, conducted a survey on 'AI-powered Interviews' targeting 1,050 men and women aged 20 to 69 nationwide via LINE Research.

This survey revealed the expectations and anxieties of consumers regarding AI-powered interviews. The perception of AI-powered interviews varies significantly along two axes: 'generation' and 'daily AI usage experience,' suggesting differences in how consumers recognize AI. These findings can be utilized by companies as one of the decision-making factors when considering communication with customers and employees.

Background of this survey: The deeply rooted challenge many companies face of 'not being able to hear true opinions'

In an era where customer needs are diversifying and employees' values are accelerating changes, the importance for companies to deeply understand 'the true feelings of each individual' is increasing. However, traditional face-to-face interviews for large-scale surveys (hundreds, thousands) involve significant costs, time, and psychological burden. Meanwhile, web questionnaires alone cannot obtain results that delve into consumers' deep psychology, creating a dilemma.

While AI-powered interviews are attracting attention as a solution, the fundamental question of 'Will consumers open up to AI?' remained unclear. RJC Research conducted this survey to answer this question, which is also central to the development philosophy of its new service 'mirAI (Mirai) Interview,' announced on April 15, 2026.

URL: https://www.rjc.co.jp/news/miraiinterview

Survey Result Summary: Three Truths Revealed in the Era of AI and Human Coexistence

This survey revealed the realistic true feelings of consumers, swaying between expectations for AI and trust in humans. Here are three crucial points for companies to consider when thinking about future customer and employee communication.

1. 20s-30s expect 'convenient tools', 50s-60s are 'waiting to see' and cautious – a clear generational view of AI

The attitude towards AI-powered interviews differs based on generation and AI usage experience. While those in their 20s and 30s have expectations for AI as a 'convenient tool' to improve efficiency, those in their 50s and 60s tend to be more cautious due to 'anxiety and wariness regarding the mechanisms and data handling.' Without understanding this gap, communication that resonates with all generations cannot be designed.

2. AI for 'efficiency and fairness', Humans for 'empathy and depth' – Consumers calmly differentiate roles

Consumers expect overwhelming convenience and fairness from AI, such as '24 hours a day, 365 days a year, without忖度 (sonkyo - bias/忖度)', while they expect high-quality dialogue from humans that 'reads context and empathizes deeply.' Understanding the strengths of both and combining them optimally is the key to eliciting true feelings.

3. 'Anonymity' is essential – 'Psychological safety' is a crucial condition for widespread adoption

'Ensuring anonymity' was prioritized above other items as the most important condition for feeling willing to participate in AI-powered interviews. This result indicates that securing psychological safety, where users feel 'safe to speak,' is a major prerequisite for widespread adoption.

Attitudes towards AI-powered interviews are polarized by 'generation' and 'AI usage experience'.

The proportion of respondents who answered 'would like to try' AI-powered interviews was 29.0%, 'would not like to try' was 31.8%, and 'cannot say either way' was 39.1%, suggesting that the overall stance is still largely wait-and-see. However, a closer look at the breakdown reveals significant differences based on 'generation' and 'daily AI usage experience.'

Clear Generational Gap

Younger generations, especially women in their 30s (41.0%) and men and women in their 20s (38.1%), showed many positive opinions, indicating a high acceptance of new technologies. In contrast, resistance increased with age among those in their 50s and 60s, making the 20s-30s and 50s-60s quite contrasting. This reflects a fundamental difference in how digital native generations and previous generations perceive AI.

'Familiarity with AI' affects psychological hurdles

The willingness to participate in AI-powered interviews strongly correlated with the frequency of daily AI use. Among those who 'use AI almost every day,' over half (52.5%) answered 'would like to try,' while those who 'hardly use AI' showed less willingness. This part of the text was truncated, but the overall implication is clear.