I recently had an interesting conversation with a friend who is looking for a job. He pointed out to me that, in many cases, companies are posting job openings for positions that don't actually exist. This is a very intriguing trend. Beyond the obvious and highly unethical aspect of such practices, another interesting phenomenon emerges. According to The Fortune, 8 out of 10 recruitment agencies post fake job offers. The primary reason is to test the effectiveness of new AI tools for verifying and automatically qualifying candidates. As we know, neural networks need to be trained and tested. The systems provided by integrators, trained on uniform datasets, undergo further training. But where do you get the data from? The easiest way is to build up the hopes of hundreds of thousands of people and ask them to send in their CVs. In addition to testing the effectiveness of filtering, data is also collected on candidate profiles, their history, and the attributes that the models interpret as the most appropriate.