Recruiting for technology roles has always been a high-stakes game. If sourcing and screening go well, recruiting wins; if not, it’s a black hole. These two functions are the backbone of hiring—everything else is communication. But in the age of Generative AI and Large Language Models (LLMs) , the rules have changed. The Old Way: Conventional Tech Recruiting For decades, recruiters relied on: Boolean searches on job boards and LinkedIn. ATS keyword matching for skills and experience. Hygiene checks like education, years of experience , and past employers. While these methods worked, they were rigid and often failed to capture the nuances of evolving tech roles. Recruiters were constantly playing catch-up with new stacks, frameworks, and delivery models. The Modern Way: AI-Powered Recruiting Enter LLMs and AI-driven platforms —game-changers for sourcing and screening. These tools don’t just match keywords; they understand context , generate structured outputs , and scale personalizati...
Must-read article by Muneer M in the Times Ascent today! Humans have started working alongside AI agents, and so the CHRO has two sets of staff/resources to manage and not one! This is both thrilling and scary! Soon, employee handbooks would have "orientation" and "assimilation" programs for AI agents! Managers would get trained on how to empathetically engage with them. Soon, in mandatory training sessions for staff, L&D coordinators would invite your friendly neighbor, AI agents. Soon, we will see the conference rooms booked by AI agents, discussing how managers and humans are on vacation and making babies and agents slog for them! Soon, AI agents would be filling reviews on hashtag # reddit , hashtag # glassdoor , and hashtag # fishbowl of the world! Imagine if these AI agents developed "cognitive dissonance" from getting infected by humans they worked with! Imagine the day they become "sentient"; Jurassic Park would come alive!...