Interviewers, Except Eligibility and Loan

Interviewers in surveys do a lot of routine work. For example, they often “compile, record, and code” survey answers directly on a computer ^[1]. Today many tools can handle those parts: automated phone systems or online forms can ask fixed questions and record answers without a human.

In fact, researchers have built AI “telephone survey” systems to conduct structured interviews. One study reported that as the AI interviewer got better, respondents completed more surveys and engagement grew ^[2]. This shows AI can now do basic Q&A tasks.

However, many tasks still need a person. Explaining survey questions clearly and helping someone understand them usually requires human judgment ^[1]. An AI might read a script of questions, but it can’t easily sense if a person is confused or needs extra help.

In practice, new software and AI usually assist interviewers (for example by checking data for errors) rather than fully replace them.

Whether AI is used more depends on cost, usefulness, and trust. On one hand, AI survey tools are commercially available and could save money when help is needed 24/7. For example, computers can auto-dial lists and enter basic info faster than a person ^{[1] [1]}.

On the other hand, human interviewers are often low-paid, so companies may not invest in pricey tech unless it really pays off. Privacy and social comfort matter too. Surveys often ask personal questions, so people may prefer talking to a real person.

Tasks like meeting a supervisor or handling a unique problem are still done by humans ^{[1] [1]}. Overall, AI is already automating the most routine parts (like data entry and scheduling calls ^{[1] [1]}), but building trust, explaining things, and adapting to each person remain human strengths. Young people should know that social skills and empathy are still valuable – AI can help with the busy work, but people will always be needed to communicate, understand feelings, and solve unexpected issues.