{"id":38964,"date":"2025-10-20T15:37:16","date_gmt":"2025-10-20T19:37:16","guid":{"rendered":"https:\/\/brandonhall.com\/?p=38964"},"modified":"2025-10-20T15:37:16","modified_gmt":"2025-10-20T19:37:16","slug":"are-seekouts-ai-agents-going-to-redefine-the-recruiters-role","status":"publish","type":"post","link":"https:\/\/brandonhall.com\/are-seekouts-ai-agents-going-to-redefine-the-recruiters-role\/","title":{"rendered":"Are SeekOut’s AI Agents Going to Redefine the Recruiter’s Role\u00a0"},"content":{"rendered":"

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Enterprise talent acquisition teams are facing an unprecedented challenge. Companies emerging from hiring freezes need to ramp up quickly, but their recruiting teams haven’t grown. Meanwhile, the volume of applications has exploded every job posting now generates hundreds of resumes, many AI-generated and keyword-stuffed, creating an impossible screening burden for human recruiters.<\/span>\u00a0<\/span><\/p>\n

We recently spoke with Bala Vishwanath, CMO at <\/span>SeekOut<\/span><\/a>, about how the company is addressing this challenge through agentic AI. When we talk about agentic AI in recruiting, we’re not talking about a dressed-up chatbot we’re talking about autonomous agents that work alongside expert recruiters to make them more effective and productive in transforming the top-of-funnel recruiting process. After seven years of building semantic search intelligence across over a billion profiles, SeekOut has launched a service that promises to deliver interview-ready candidates in days rather than months.<\/span>\u00a0<\/span><\/p>\n

Through our advisory work with HR technology vendors, we’ve seen countless companies attempt to solve recruiting’s speed-quality paradox. Most focus on either automation or human expertise, but rarely achieve both effectively. SeekOut’s approach caught our attention because it fundamentally rethinks the recruiter’s role rather than simply digitizing existing processes.<\/span>\u00a0<\/span><\/p>\n

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The Market Reality: When AI Creates More Problems Than It Solves<\/span><\/b>\u00a0<\/span><\/h3>\n

The recruiting industry finds itself in a peculiar position. AI tools have made it trivially easy for job seekers to generate customized resumes and cover letters for every application, flooding companies with hundreds of seemingly qualified candidates. As Vishwanath explained, “You need intelligence to understand that what I’ve described is really what is needed… if I am a good developer that has built scalable systems, like let’s say for Netflix, I wouldn’t necessarily use keywords in my resume.”<\/span>\u00a0<\/span><\/p>\n

This creates a vicious cycle: recruiters can’t manually review 500+ applications per role, so they rely on keyword-based screening tools that miss the best passive candidates the Netflix engineer who describes building “viral apps that scaled to millions of users” rather than using buzzwords like “scalable infrastructure.”<\/span>\u00a0<\/span><\/p>\n

Several companies have emerged to tackle different aspects of this challenge:<\/span>\u00a0<\/span><\/p>\n