Ophir Samson

So we're very thoughtful about what to do.

It's very, it's a very noisy signal.

So there are, you know, misconceptions about when people are looking to the left, they're lying.

I mean, that might be true if you look at it over millions of people on average, but to apply it to like this conversation this time, it's very risky.

That's right.

And one thing to say is we take a very different approach to many other companies and generally a lot of AI companies.

Let's face it, a lot of AI companies, their core pitch is we're going to replace you.

We're going to take jobs away and you can save money and we will take that money instead.

That's not what we are about.

We're actually not trying to eliminate any human interviews.

So the interview, the companies that we work with, they're actually doing exactly the same number of interviews as they were before.

However, the people that they're interviewing, the candidates they're interviewing are the ones which are more appropriate for the role.

So for example, let's say...

you advertise a job, you'll get a thousand people that apply overnight.

And now because of AI, it's so easy for candidates to apply.

They write an AI-generated resume, they send it off, and everyone looks amazing on paper because ChatGPT has written their resume.

You've got a thousand AI-generated resumes in front of you.

You know that somewhere in those thousand, there are 20 people who are really worth your time that you should be engaging with.

They're needles in the haystack.

How do you find those 20 needles?