LinkedIn Expands AI Hiring Assistant to More Regions

LinkedIn is expanding access to its new AI-powered Hiring Assistant tools for recruiters, which will give more hiring managers access to the platform’s latest tools to help streamline the staffing process.

Originally launched with selected brand partners in October last year, LinkedIn’s Hiring Assistant enables HR managers to automatically generate short lists of LinkedIn users who are a good match for an advertised role.

As you can see in this overview, LinkedIn’s AI hiring assistant can also schedule interviews, take notes, and manage follow-up, providing an all-in-one, AI-powered hiring solution.

And now, more businesses will be able to take advantage of these tools.

As per LinkedIn:

“Today we’re excited to share that Hiring Assistant will be globally available in English by the end of September.”

That could be a handy addition to your recruitment process, and could save you a heap of time in vetting and organizing, based on LinkedIn’s unmatched database of professional insights.

Which should yield good results, based on data correlations. But then again, there’s also likely to be some hesitancy around leaving too much of this vetting to the robots, lest you end up with shaky candidates.

But there’s also likely no harm in trying it out either, and seeing what kinds of results the system produces for your open jobs.

LinkedIn says that it’s also updated and refined its Hiring Assistant process, in order to provide “more natural, responsive, conversational” ways to engage with the tool.

“We’ve made it easier for recruiters to describe needs in their own words and work alongside Hiring Assistant to find the right candidates. We did this by re-engineering our agent orchestration and tool-calling systems so conversations feel fast and fluid, while still allowing for deeper reasoning which leads to better outcomes.”

It’s also revised its matching framework to improve the quality of matches (based on initial usage insights), while it’s also built and refined its own model, built on LinkedIn’s Economic Graph, to improve performance.

And early results on this front have been promising.

“Since we announced Hiring Assistant last year, recruiters are saving over four hours per role, reviewing 62% fewer profiles before reaching a confident short list, and seeing a 69% improvement in InMail acceptance.”

So, again, it could be worth checking out, and seeing which people the system chooses, versus the candidates that your human HR managers select for a given role. 

Also, this could be especially helpful:

“And soon, with our ATS (applicant tracking system) integrations, recruiters will be able to evaluate all of their applicants with Hiring Assistant, whether they applied on or off LinkedIn. They’ll also unlock bidirectional sync of candidate evaluations, candidate stage updates, and more, between LinkedIn and their ATS, so their teams have full context.”

I mean, “bidirectional sync” is a little too jargonistic for me, but basically, you’ll be able to expand LinkedIn’s AI assessment tools to all candidates, even those who don’t apply to your job listings through the app.

It’s interesting to consider the potential of AI in this respect, with its capacity to cross-match vast streams of data likely able to find correlations and value connections that humans cannot. Which should mean that it’ll end up being better at finding the right candidates, but then again, it’s also putting more emphasis on data, and less on gut feel, which can often be a deciding factor when selecting the best fit.

You can learn more about LinkedIn’s AI Hiring Assistant expansion here.