Leveraging Recruiting Tech to Cement Your Place as an Essential TA Function

Two founders of recruiting technology companies talk through what artificial intelligence actually means for talent acquisition teams right now, cutting past the hype to what's practical.

Rather than treating AI as a single purchase decision, the conversation frames it as a continuation of automations recruiting teams already use: resume screening, video interview scheduling, candidate outreach, and communication tools. The advice is to audit the current tech stack and ask existing vendors what AI capability they're already rolling into their products before allocating new budget toward a standalone AI purchase.

Several concrete points come up:

• Vendors, not individual companies, should carry the burden of keeping recruiting tools compliant with emerging regulation, similar to how GDPR compliance became standard practice across the industry rather than something each employer had to solve alone.
• Passing a bias audit tied to New York's legal requirement is offered as an example of the kind of validation companies should expect from any AI vendor, with the expectation that similar rules will spread to other states.
• AI models can reduce certain forms of bias but need regular retraining across diverse candidate data, and human judgment should remain part of any final hiring decision rather than letting a model decide alone.
• The real risk isn't AI replacing recruiters outright, it's recruiters losing the underlying skills once a tool handles a task so well that nobody remembers how to do it manually, much like a pilot who still needs to know how to land a plane if the automation fails.
• High-volume, low-complexity roles can already be hired through fully automated screening built around a short list of qualifying questions, while roles requiring culture fit or relationship-building still need direct human interaction to avoid making candidates feel like they're being processed rather than recruited.

The overall picture is one of adaptation rather than replacement: repetitive, low-value tasks get handed off to automation, freeing recruiters to spend more time on the judgment calls, relationship-building, and strategic thinking that create real value in a hiring process.