LinkedIn hopes to use AI to make it easier for recruiters and candidates to find each other.
A new AI Recruiting Assistant will soon allow employers to provide job descriptions and qualification notes, then automatically generate a shortlist of LinkedIn users who look like a good job match. And as employers review the list of suggested names, AI will indicate which qualifications are required and preferred that each candidate appears to have.
“It tells you that this person might be at a higher level,” said Hari Srinivasan, LinkedIn’s vice president of product. “This person may be equal.”
The assistant is designed to automate what in the past may have been a tedious manual search using LinkedIn and other candidate databases and, since AI can analyze the text of job descriptions and user profiles, it can effectively help recruits that otherwise might not be possible. appear by simple keyword matching. So far, it has been rolled out to a select group of LinkedIn customers, including AMD, Canva, Siemens and Zurich Insurance, with the aim of making it more widely available to employers.
Users can adjust what qualifications the AI is looking for and provide examples of LinkedIn profiles that would make a good match. They can also include or copy and paste other descriptions of what the company is looking for, such as email letters from the hiring manager. Businesses can also connect the system to a supported applicant tracking system, which can allow them to re-identify people who have previously applied for another position.
As employers confirm that AI-suggested candidates are a good fit, they can have AI draft messages to them, referencing specific aspects of their background and skills that make them seem like a good fit for the job. They can also choose to have the AI system handle certain screening tasks, such as verifying that interested candidates have basic job qualifications.
In testing so far, those AI messages seem to be working well—recruiters who use AI-assisted messages get a 44% higher acceptance rate and get their LinkedIn outreach messages accepted 11% faster than those who don’t use AI to write messages, the company says, and AI-assisted search sessions see an 18% higher message acceptance rate than manual ones.
And AI also frees up more time for recruiters to focus on working with prospects and converting them to hires, which many say they wish they had more time to focus on, Srinivasan said. He says: “But they spend most of their time doing repetitive and tedious tasks.”
Recruiting Assistant is part of LinkedIn’s overall plan to improve the quality of business-to-candidate matching, at a time when online search and application tools can encourage both job seekers and employers to cast a wide net, meaning both parties waste time. in the final connection that will not lead to employment.
“The value is actually wasting everyone’s time,” said Rohan Rajiv, LinkedIn’s head of product. “Job seekers send hundreds of applicants to jobs where they are in a satisfactory position and don’t want to hear, and in doing so, employers struggle to get back qualified people.”
The company is also testing AI tools that will give job seekers more insight into jobs posted on the platform that they might be a match for—including whether, based on their LinkedIn profiles, they appear to be applying strongly and whether they’re a match for the job. qualities listed. Users who find that the system is not finding their qualifications can update their profiles to emphasize their strengths but, like the Recruiting Assistant, the AI is designed to go beyond basic keyword matches, so users shouldn’t need to enter every possible match. to find the skill in their profiles to be considered a good match.
Just like when employers write to potential candidates, job seekers will also be able to use LinkedIn’s AI to help write a customized cover letter or resume for a specific position.
The program, which Rajiv expects to begin rolling out to LinkedIn Premium users within a few weeks, could help reduce concerns about vague AI programs—or quick keyword searches and scans by employers who are harassed—to fire qualified people because their resumes didn’t add up. correct keyword.
“I think that will be a thing of the past, very soon,” said Rajiv. “So you can focus on entering what you actually did, and the system will understand and share what it understands.”
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