How will LLMs impact recruiting?

Hi Gary, for different roles there might be different wants. For many engineering roles it might be nice for AI to help you generate interview questions based on a users domain expertise so to test the applicant are their understanding of the technologies they'll be developing on or more importantly troubleshooting the existing codebase as it's iterated on. For less technical roles the interview question generation might be helpful. I personally like to have a conversation while interviewing but having specific questions & exercises is helpful to really qualifier the user beyond conversational understanding. Rather you'd like to see true problem solving capacity. An additional thought might be to have the AI listen to the interview & later transcribe the interview & pull out key points (or fact checks) to then generate the candidate hiring committee report. All those areas might be really helpful in the future to better qualify candidates.

Quality recruiting won't change

Hi Gary! Our product: Resume Ranker and Profile Analyzer is to solve for the same. Are you building something in this space?

LLMs (Large Language Models) will revolutionize recruiting in the edtech application by enhancing the candidate screening process. Their advanced natural language understanding and analysis capabilities will enable more efficient and accurate assessment of candidates' skills and knowledge. This will lead to better matches between employers and job seekers, streamlining the recruitment process, and ultimately improving overall hiring outcomes.

Could it be possible in the future, your recruiting bot is automatically reading some resume generated by candidate's bulletin points.... and your AI bot summarize them in to bulletins... so essentially LLM's impact is 0. Ofcoz, this is a joke. :) I believe LLM can be very helpful for both candidates and recruiters, esp. for the hiring team to automatically screen the cv.