How generative AI is transforming the recruitment industry Imagine a world where your team’s most time-consuming recruitment tasks are automated, allowing them to perform at a higher level. This is no longer a fantasy, but a reality with the advancement of generative AI in the recruitment sector. APSCo Australia Partner, JobAdder, explains. What is generative AI? Generative AI is designed to create new content based on existing data it has been trained on. Think of it as an advanced tool capable of reading all of Shakespeare’s works and then writing a new play in his style almost instantly.
While the focus for today’s recruitment industry is on language models, like OpenAI's ChatGPT, generative AI also includes image and video models like DALL-E. Transforming the role of recruiters Generative AI will not replace recruiters but it will unquestionably transform their roles. The technology removes or speeds up many administrative and compliance tasks. Here's a handy breakdown: Ad writing and outreach Instead of consultants having to start from scratch for tasks like ad writing, social media posts, and LinkedIn outreach communications, AI can draft these within minutes, reducing a 40-minute task to about 15 minutes.
Search queries Even junior team members can now formulate high-quality Boolean search strings, thanks to AI, thus levelling the playing field within recruitment agencies. Candidate screening Imagine arriving at your desk to find that your AI tool has already screened hundreds of resumes and shortlisted the most viable candidates for interviews. This is not a distant future but a near reality, decreasing manual candidate screening time from approximately 23 hours to a mere fraction of that.
Practical applications Job ads Chris South co-developed an app integrated with JobAdder that uses OpenAI API to write job ads. The technology has analysed millions of existing ads and can draft new ones effectively, although as with any AI writing you’ll need to fine-tune for formatting and tone.
Adoption challenges Setting expectations AI is not a magic wand; it needs training and iteration. Once we remove the expectation for a perfect outcome, adoption rates increase. Skill development Teams need to practice and share new AI use cases regularly. Teams like those at Kingston Human Capital have “GPT Tuesdays,” where they discuss new use cases and learn from each other. Technical barriers The technology is not yet plugand-play for everyone. There’s a learning curve, and in some cases, a need for custom software to take care of prompt engineering. Utility question While AI can list daily jobs, its capability to look beyond core job sites is still developing. Businesses need to weigh the return on investment and not adopt technology just for its sake.
Reporting and analytics AI can not only fetch daily job ads for lead generation but also write business development summaries by analysing candidate profiles and CVs. RECRUITMENT & CO | 11
