By Thornie Longmuir
For more than 10 years, all sorts of professional systems for staff recruitment have appeared. Artificial intelligence in recruitment has already been developed. Everyone understands what tasks AI helps solve and which routines and errors it relieves, but no one understands how to measure the economic effect of using it.
In other words, companies can calculate how much money AI will cost, but they do not understand ROI or how much money AI will bring or save. Slogans like “close vacancies two times faster with (such and such software)” are just not true.
Misunderstanding what AI gives for recruiting in money leads to companies postponing this investment for years, and during this time a lot is lost as a result. For example, if we talk about companies that offer cheap assignment help and regularly look for writers to work in their team, it is necessary for them to understand how to measure the ROI of AI.
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