LinkedIn announced a wave of new AI-based capabilities for LinkedIn Recruiter. Between now and April 2024, Recruiter will incorporate a range of capabilities designed to improve the interaction between platform and user, build more effective pipelines and better manage the overall recruiting process.
The rollout continues LinkedIn’s efforts to develop tools that can assist talent acquisition teams with a wide range of tasks. In August, the network launched features that allow employers to highlight their company’s values as a way to match themselves with candidates who have specific interests outside of the workplace. At the same time, LinkedIn launched an “I’m Interested” feature that allows job seekers to indicate their interest in working with a particular company.
According to TechCrunch, LinkedIn has incorporated AI and automation into its platform for some time, much of it in the background. With parent company Microsoft spending billions on OpenAI and other AI efforts, it’s logical for the platform to add more advanced features to its user experience.
New features in LinkedIn Recruiter include:
- Recommended Matches to uncover talent similar to matching candidates based on job titles, skills, locations, industries and companies, among other factors.
- Generative AI tools to help create projects, job posts, searches and to generate recommendations.
- Project Status and Insights to present overall performance data and real-time notifications.
- AI-Assisted messaging to draft personalized InMails.
- Suggested Actions recommends next steps to take via prompts on both mobile and desktop.
- CRM Connect links CRM solutions with LinkedIn Recruiter in order to simplify workflows, improve talent pipelines and nurture candidate relationships.
- Video Connect allows recruiters to talk with candidates through Zoom, Microsoft Teams and Google Meet.
- Hiring Manager Collaboration enables sharing of candidate profiles with hiring managers through Microsoft Teams.
Like Microsoft, LinkedIn is adopting generative AI capabilities throughout its product suite. “The capabilities of GAI are making previously impossible product experiences possible and are advancing at a pace unlike anything we’ve ever seen in our industry,” wrote Vice President of Product Engineering Erran Berger in a blog post.
“It’s impossible to know with certainty whether new features will help our customers and members in the way we anticipate,” he continued. “So in order to learn, our priority is to put something we think is valuable in the hands of our members quickly to test it – and then create a tight feedback loop where we can iterate and adjust.”
By Mark Feffer
Mark Feffer is executive editor of RecruitingDaily and the HCM Technology Report. He’s written for TechTarget, HR Magazine, SHRM, Dice Insights, TLNT.com and TalentCulture, as well as Dow Jones, Bloomberg and Staffing Industry Analysts. He likes schnauzers, sailing and Kentucky-distilled beverages.
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