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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.

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linkedin's new ai tools rethink how job seekers discover career paths

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.

Also Read: Zurich University AI Researchers Ran Secret Test On Reddit Users

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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LUVED Is A New Curated Preloved Marketplace For The UAE

Sellers keep 100 percent of every sale and AI can build a listing in five seconds — though the app’s smartest tools are still coming.

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luved is a new curated preloved marketplace for the uae

Secondhand shopping has become mainstream in the UAE, but the experience is still scattered across resale sites, social media and informal group chats. LUVED, a mobile-first marketplace that launched in Dubai this month, is betting it can pull that activity into one place — and that the thing buyers and sellers actually want is not more inventory, but trust.

The app trades in what it calls circular luxury: preloved fashion and lifestyle pieces across men’s, women’s and children’s categories, bought, sold or given away peer to peer. Its main pitch is economics, with sellers keeping 100 percent of every sale under a zero-commission, fast payout model, while buyers are promised vetted pieces at lower prices.

Where LUVED is staking its reputation is verification. Sellers pass a KYC check, and items run through a two-layer authentication system powered by Entrupy that pairs instant AI screening with human expert review for high-value pieces. Authenticity certificates travel with each item, payments sit in escrow, and a buyer-protection package the company calls The Safety Net adds a 48-hour return window and dispute resolution. Door-to-door logistics removes the in-person meetups that make most resale deals awkward.

An in-app assistant called Luvbot — offering selling insights and demand-based recommendations — is soon to be introduced to the platform. Other features include autofill and dynamic pricing that lets users build a listing in as little as five seconds from three photos, plus a swipe-based feed, story-style drops and in-app chat in English and Arabic. Finally, a gifting layer, Luved & Gifted, lets users pass items to others inside the app rather than sell them.

Also Read: Logitech’s New Folding Mouse Is Designed For Work On The Go

“After moving to Dubai, I saw how difficult it was to sell or even give things away,” says founder and CEO Shaima Sibtain. The friction is real, and so is the competition. In resale, trust is won transaction by transaction — and that is the test LUVED has set itself.

The app is live on the App Store now, with Google Play to follow. The company also plans to expand across the region, which will be the real test for a marketplace staking everything on trust.

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