Mogic considers

'We can build the company the way we want to.
We will do what we believe in, even if it is different or unusual.
Because what we can believe in is surprisingly rare.
Yes, we have been searching for it in a truly honest, straightforward, and sincere manner.

Representative Director Yoichi Yamane

January 27, 2026

What comes next after the AI interview is

As I was talking to an intern on my way home from a hangout, she said, "These days, all the interviews are AI interviews.

"Oh, all of them?"
Yes, AI makes me lose my temper.
Yes, it's hard to keep in time with it.
And they give me feedback at the end.
I'm getting that kind of advice in an interview.
"You need to dig a little deeper, or be more logical."
Wow, that's tough.

Large companies may receive hundreds or even thousands of applications, so they may want to narrow down the number of applicants who proceed to the interview process, given the number of people in the human resources department.

This change makes it difficult to comment on the spot when a person is interviewing, but with AI, you can even give quick advice to the applicant.

Of course, the applicants are sophisticated and probably have practiced mock AI interviews with AI counterparts in advance.

Now, I wonder how I would handle this AI interview thing if I were you.

It's a bit sneaky, but eventually they will use AI to plan their strategy.

The AI interview service is then asked to list the AI interview services that large companies are likely to use, and at the same time, compare their common specifications and differences, identify the range of settings that HR can make, determine which items are common to all companies and which items determine whether the AI interview is a match for a particular company, and determine what the AI itself looks for in the way it asks questions and what it looks for in terms of word structure, sentence structure, volume, tone, and facial expression (3 minutes so far). The AI itself will ask the questions in what form, and check what it is looking for in terms of word and sentence structure, voice volume and tone, and facial expressions (3 minutes have elapsed so far).

If the number of applicants is 300 to 100, and the ratio is expected to be 3 times, the average score may cause the applicant to be dropped, so the applicant should take the average as the base score and earn points only for the items in the top 1/3, and slip through (5 minutes have passed so far).

Only then do some AI mock interviews and score them. After that, we adjust the initial hypothesis and service specifications for any deviations, and let the AI mock interview become a part of our body of work. We will not do this for more than an hour, because if we do too much, we will over-optimize and be counterproductive. (Spend 60 minutes here).

And after thinking about it briefly, I have a sense that it's kind of a cycle.

For AI interviews, use AI to understand how the AI interview service works, fine-tune it with an AI mock interviewer, and get advice during the real AI interview.

Not only does the process of interviewing change, but it seems to imply something else.

If it is not just a "human to AI" interview, what does that mean?

Maybe it's a preview of the same operations in large companies by five years from now.

In other words, they work with AI against the goals set by AI, are evaluated by AI, and are trained by AI where they fall short.

If so, you may want to start now to anticipate the all-encompassing AI environment and how it should be there.

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