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LinkedIn’s New AI Tools Rethink How Job Seekers Discover Career Paths
By understanding intent, not just keywords, LinkedIn’s AI helps users find more meaningful job matches — even in roles they hadn’t considered.
LinkedIn is rolling out new AI-powered job search tools designed to match users with better career opportunities — whether or not they know exactly what they’re looking for.
The new features allow job seekers to describe their goals in natural language instead of relying on rigid keywords or exact job titles. Want to explore “business development in the video game industry” or “use your marketing skills to help fund cancer research”? LinkedIn’s AI now understands even the most abstract of intents and can recommend roles that align — even if job listings don’t use those specific terms.
“It’s about helping people express what they want to do in their own words,” said Rohan Rajiv, head of career products at LinkedIn. “Our AI figures out the semantics behind that and matches it with relevant opportunities”.
This evolution in job search is powered by large language models (LLMs), the same kind of AI that fuels tools like ChatGPT. These models excel at inferring meaning from both job descriptions and user profiles, identifying matches that traditional search engines might miss. For instance, the AI can assume a web developer is proficient in HTML, even if they haven’t explicitly listed it on their profile.
Another tool, called Job Match, assesses how well a user fits a role based on their skills and experience. It also pinpoints gaps — like missing certifications or limited exposure to a required technology — helping users better prepare before they apply.
LinkedIn’s AI also offers context around job listings, such as whether an employer is actively hiring, whether a role is promoted on the platform, and typical wait times between application and response.
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Erran Berger, LinkedIn’s VP of engineering, explained that recruiters are also overwhelmed: “They’re spending up to five hours a day filtering through applications, and over half don’t meet basic requirements”. The new AI features aim to improve quality on both sides, helping candidates apply more strategically and saving time for hiring teams.
With over 15 million job postings and 11,000 job applications submitted every minute on LinkedIn, these tools are a major step toward transforming a job market that often feels inefficient and transactional.
CEO Ryan Roslansky framed the update as part of LinkedIn’s long-term evolution: “Twenty years ago, we connected recruiters with passive candidates. Today, we’re using AI to redefine what’s possible in job discovery”.
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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
