The Emergence of AI Agents: A Historical Perspective

Companies in the US spend $15bn annually on talent acquisition. The most important metric in recruitment advertising is the conversion from the paid click on the job platform to the application the employer receives. Industry-wide, apply conversion is just 5%. Redirection of the candidate from the job platform to the company site is the biggest cause of abandonment; this step has a 70% bounce rate. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mikhil Raja, Cofounder and CEO of SonicJobs, about how they have built AI Agents to enable candidates to complete applications directly on job platforms, without redirection, boosting completion rates to 26% from 5%. Raja delves deep into SonicJobs’ cutting-edge technology, which merges traditional AI with large language models (LLMs) to understand and interact with job application web flows. He also emphasizes the importance of fine-tuning foundational models to achieve more impactful and scalable innovations. SonicJobs is a member of the NVIDIA Inception program for startups.