Night-shift recruiting: How AI is reshaping the interview process

For many, the traditional office-hours interview is becoming a relic. Data from over 500 companies using Ribbon shows that among manufacturing clients, the share of late-night interviews climbs to 35%. CEO Arsham Ghahramani suggests this flexibility serves working parents and shift workers who previously lacked the time or quiet space to engage in daytime recruitment. Beyond accessibility, the company reports that its tools have accelerated hiring for one major auto manufacturer by 35% and boosted 180-day employee retention by up to 30%.

Industry experts view this automation as a double-edged sword for inclusivity. Tim Sackett, CEO of HRUTech.com, argues that AI interviewing provides candidates with a greater opportunity to demonstrate their value, potentially leveling the playing field. However, widespread adoption faces significant skepticism. A Greenhouse survey found that 38% of applicants abandoned a hiring process specifically because it required an AI interview. Furthermore, concerns persist regarding algorithmic bias, as research indicates that large language models can mirror stereotypes related to age, race, and ethnicity. Despite these hurdles, Steve Boese, co-chair of the HR Technology Conference, maintains that the industry has passed the point of no return. As companies struggle to process record volumes of applications, AI is rapidly displacing legacy hiring practices, regardless of candidate preference.