Algorithm-based applicant tracking systems (ATS) have been in place for over 20 years. Recruiters have generally come to rely on the algorithms to find the most qualified talent for the specific roles that are being filled. AI is exposing the weaknesses in ATS applicant ranking and selection. The odds are that top candidates are being ignored because of this strategy and sent to the “Thank you for applying” waste field of untapped talent buried in the applicant database. Talent acquisition strategies and tactics need to have a human intervention that mines the forgotten treasure of talent that is sitting in ATS platform databases.
