Is AI Use for Job Seekers Already Common Sense!? Survey on the Actual Usage of Generative AI in Job Hunting
Nyle Inc. conducted a survey on 419 job-seeking students nationwide regarding their generative AI usage in job hunting. Over 70% use AI, primarily for selection process preparation and company research. It was found that AI is becoming a new point of contact with companies, though verification with official information remains crucial.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 18:00
- 🔍 Collected: April 28, 2026 at 10:01
- 🤖 AI Analyzed: April 28, 2026 at 16:00 (5h 59m after Collected)
Nyle Inc. (Headquarters: Shinagawa-ku, Tokyo; President: Hirotaka Takahashi; hereinafter "Nyle"), which develops DX & marketing businesses, conducted a survey targeting 419 students nationwide who have done or are currently doing job hunting, asking in which stages of job hunting they utilize generative AI.
Based on the survey results, we analyze the actual usage of generative AI and its impact on companies' recruitment communications.
Summary of this survey:
Over 70% of job seekers use generative AI. Among them, over 30% "frequently use" it, indicating that generative AI is becoming an indispensable tool for information gathering in job hunting.
The most common usage scenario is "selection process preparation (entry sheets, interviews)," accounting for approximately half. Its use is expanding beyond information gathering to practical applications.
Information sought mainly concerns "business content," "strengths/characteristics," and "differences from competitors." Generative AI is being used to build a foundational understanding of companies.
Over 70% of job seekers have had generative AI as a trigger for learning about a company, suggesting it is becoming a new point of contact with businesses.
While generative AI's summaries of companies have some impact on first impressions, most are perceived as reference information.
Approximately 90% of job seekers verify information found through generative AI on official websites or recruitment pages, indicating that AI utilization and official information verification are combined practices.
Survey Outline:
・Survey Period: March 25-30, 2026
・Survey Method: Internet survey (using Fastask)
・Survey Target: 419 students who are graduating in 2026, 2027, or 2028, and have done or are currently doing job hunting.
Have you ever used generative AI (ChatGPT, Gemini, etc.) for information gathering during job hunting?
Combining "frequently use" (34.4%) and "sometimes use" (41.8%), over 70% of job seekers responded that they "use generative AI for job hunting."
What is notable is that over 30% responded "frequently use."
This suggests that generative AI is not just for a few advanced job seekers but is becoming established as an everyday information-gathering method in job hunting.
It is undeniable that generative AI is becoming a significant option for information gathering in job hunting, on par with search engines and job information sites.
At what stage of job hunting have you used generative AI?
The most common usage scenario for generative AI in job hunting was "selection process preparation (entry sheets, interviews)" (48.0%). This was followed by "company research" (37.9%) and "industry research" (33.2%).
The reason for the exceptionally high use in selection process preparation likely lies in the alignment between the needs for "text generation and brainstorming," at which generative AI excels (e.g., proofreading entry sheets, creating mock interview questions), and job seekers' challenges.
It is probably being used as an always-available consultation partner for selection preparation, which is often done alone.
On the other hand, "checking reviews/reputations" (20.4%) and "comparing/considering after receiving job offers" (11.9%) showed relatively low results.
This suggests that when real-time information or final judgment is required, information sources other than generative AI are prioritized.
What kind of information about companies have you looked up using generative AI?
The most common company information searched using generative AI was "business content" (36.7%), followed by "strengths/characteristics" (33.5%), and "differences from competitors" (29.8%).
The top items were "business content," "strengths," and "differences from competitors" – structured information that forms the basis of company research.
The task of summarizing and comparing across multiple information sources is an area where generative AI excels, aligning well with job seekers' needs.
Additionally, it was somewhat surprising that "company culture/working atmosphere" accounted for about 30%.
Although this is qualitative information that is originally hard to grasp, generative AI might be highly valued by job seekers for its ability to integrate various public information and provide a "general idea."
However, such information carries the risk of diverging from reality, so an attitude of verifying AI responses with primary sources will likely be required.
Has generative AI ever been a trigger for you to learn about a company?
"Sometimes" was the most frequent answer at 49.8%, and when combined with "often" (21.0%), over 70% of job seekers have experienced generative AI as a trigger for learning about a company.
This result shows that generative AI is not merely an aid for information organization but also functions as an entry point for creating new connections with companies.
From a company's perspective, this means whether their company appears in AI responses can influence the initial point of contact with job seekers.
This is a stage preceding the phase where companies are searched by name, i.e., "What are recommended companies in the industry?"
Based on the survey results, we analyze the actual usage of generative AI and its impact on companies' recruitment communications.
Summary of this survey:
Over 70% of job seekers use generative AI. Among them, over 30% "frequently use" it, indicating that generative AI is becoming an indispensable tool for information gathering in job hunting.
The most common usage scenario is "selection process preparation (entry sheets, interviews)," accounting for approximately half. Its use is expanding beyond information gathering to practical applications.
Information sought mainly concerns "business content," "strengths/characteristics," and "differences from competitors." Generative AI is being used to build a foundational understanding of companies.
Over 70% of job seekers have had generative AI as a trigger for learning about a company, suggesting it is becoming a new point of contact with businesses.
While generative AI's summaries of companies have some impact on first impressions, most are perceived as reference information.
Approximately 90% of job seekers verify information found through generative AI on official websites or recruitment pages, indicating that AI utilization and official information verification are combined practices.
Survey Outline:
・Survey Period: March 25-30, 2026
・Survey Method: Internet survey (using Fastask)
・Survey Target: 419 students who are graduating in 2026, 2027, or 2028, and have done or are currently doing job hunting.
Have you ever used generative AI (ChatGPT, Gemini, etc.) for information gathering during job hunting?
Combining "frequently use" (34.4%) and "sometimes use" (41.8%), over 70% of job seekers responded that they "use generative AI for job hunting."
What is notable is that over 30% responded "frequently use."
This suggests that generative AI is not just for a few advanced job seekers but is becoming established as an everyday information-gathering method in job hunting.
It is undeniable that generative AI is becoming a significant option for information gathering in job hunting, on par with search engines and job information sites.
At what stage of job hunting have you used generative AI?
The most common usage scenario for generative AI in job hunting was "selection process preparation (entry sheets, interviews)" (48.0%). This was followed by "company research" (37.9%) and "industry research" (33.2%).
The reason for the exceptionally high use in selection process preparation likely lies in the alignment between the needs for "text generation and brainstorming," at which generative AI excels (e.g., proofreading entry sheets, creating mock interview questions), and job seekers' challenges.
It is probably being used as an always-available consultation partner for selection preparation, which is often done alone.
On the other hand, "checking reviews/reputations" (20.4%) and "comparing/considering after receiving job offers" (11.9%) showed relatively low results.
This suggests that when real-time information or final judgment is required, information sources other than generative AI are prioritized.
What kind of information about companies have you looked up using generative AI?
The most common company information searched using generative AI was "business content" (36.7%), followed by "strengths/characteristics" (33.5%), and "differences from competitors" (29.8%).
The top items were "business content," "strengths," and "differences from competitors" – structured information that forms the basis of company research.
The task of summarizing and comparing across multiple information sources is an area where generative AI excels, aligning well with job seekers' needs.
Additionally, it was somewhat surprising that "company culture/working atmosphere" accounted for about 30%.
Although this is qualitative information that is originally hard to grasp, generative AI might be highly valued by job seekers for its ability to integrate various public information and provide a "general idea."
However, such information carries the risk of diverging from reality, so an attitude of verifying AI responses with primary sources will likely be required.
Has generative AI ever been a trigger for you to learn about a company?
"Sometimes" was the most frequent answer at 49.8%, and when combined with "often" (21.0%), over 70% of job seekers have experienced generative AI as a trigger for learning about a company.
This result shows that generative AI is not merely an aid for information organization but also functions as an entry point for creating new connections with companies.
From a company's perspective, this means whether their company appears in AI responses can influence the initial point of contact with job seekers.
This is a stage preceding the phase where companies are searched by name, i.e., "What are recommended companies in the industry?"