LinkedIn just rolled out AI-powered people search to premium subscribers, letting them find connections using natural language queries like "investors in healthcare with FDA experience." The feature marks LinkedIn's biggest AI integration into its core search functionality, directly competing with emerging AI-powered people discovery startups.
LinkedIn is finally bringing AI to its most valuable real estate - the search bar. After two years of sprinkling artificial intelligence across ad creation, content generation, and hiring tools, the Microsoft-owned platform is rolling out natural language people search to premium subscribers in the U.S.
The timing couldn't be more strategic. As recruiters and business developers increasingly turn to AI agents and ChatGPT for professional networking, LinkedIn is racing to keep users on its platform rather than watching them migrate to external AI tools that scrape LinkedIn data.
"With lexical search, you have to know the exact title of the person, or you need to wrestle with filters to find the right person, maybe," Rohan Rajiv, senior director of product management at LinkedIn, told TechCrunch. "The new AI-powered people search is designed to be the fastest path to the person who can help you the most."
Users can now type conversational queries like "Find me investors in the healthcare sector with FDA experience" or "Who in my network can help me understand wireless networks." Premium subscribers will see "I'm looking for..." replace the traditional "Search" prompt, signaling LinkedIn's shift from keyword-based discovery to intent-driven matching.
The feature builds on LinkedIn's earlier AI job search launch from earlier this year, which allowed natural language job queries. But people search represents a far bigger opportunity - and challenge. LinkedIn's 900+ million user profiles contain the world's largest professional networking dataset, making accurate AI-powered matching both incredibly valuable and technically complex.
Early testing reveals the system's potential and limitations. Searches for "people who co-founded a YC startup" return different results than "Y Combinator" queries, while "voice AI startup" searches sometimes surface users with LinkedIn's "top voice" badges rather than actual voice AI founders. LinkedIn acknowledges these accuracy gaps and says it's refining the query understanding.
The enterprise AI race intensifies as platforms scramble to defend against ChatGPT and Perplexity's growing search market share. Google, Microsoft Bing, and even Reddit have rushed AI-powered search features to market. Meanwhile, startups like Happenstance.ai and Superposition.ai are building LinkedIn alternatives specifically around AI-powered people discovery.
LinkedIn faces a delicate balancing act. The platform has become a favorite target for AI demos, with agents and browsers automatically scraping profiles and connections. Yet LinkedIn hasn't restricted this data access like Reddit, which now requires licensing agreements for AI training. "We are still early in this age of browsers and how they are working on behalf of people," Rajiv noted, suggesting stronger policies may come.
For Microsoft, LinkedIn's AI push represents a crucial enterprise play. As the software giant battles Google and others for AI dominance across productivity tools, LinkedIn's professional search capabilities could become a key differentiator for Microsoft's broader AI ecosystem.
The U.S.-only launch targets LinkedIn's most valuable market first, with international expansion planned for coming months. Premium subscribers - who already pay $29.99 to $119.95 monthly for advanced LinkedIn features - get first access to what could reshape professional networking entirely.
LinkedIn's AI search launch signals the platform's determination to stay ahead of the AI agent revolution that's already reshaping professional networking. While the feature isn't perfect yet, it represents Microsoft's biggest bet on keeping LinkedIn relevant as AI transforms how people discover and connect with professionals. The real test will be whether LinkedIn can improve accuracy fast enough to prevent users from migrating to external AI tools that offer similar capabilities without subscription fees.
