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LinkedIn Is Trying To Help You Apply For Fewer Jobs
The platform’s new AI-powered “Job Match” aims to guide users toward roles they’re qualified for and away from those they aren’t.
If you’ve ever spoken to anyone hunting for a job lately, you’ve probably heard about how difficult it is to even secure an interview. According to LinkedIn, one of the reasons for this struggle is that too many people are applying for roles they aren’t qualified for, making it harder for strong candidates to get noticed.
To tackle this, LinkedIn is rolling out a new AI-powered tool called “Job Match” — a feature designed to bridge the gap between job seekers and recruiters by offering detailed summaries that help users understand how well they fit a particular role.
Unlike simple keyword matching tools, “Job Match” takes a more nuanced approach by using AI to analyze a candidate’s overall experience and compare it with the qualifications listed in a job description. The idea isn’t just to help users find roles they’re qualified for, but also to steer them away from applying to jobs where they might fall short.
The feature is accessible to all LinkedIn users, but those with LinkedIn Premium get extra perks, such as more detailed insights about their job match level. In the future, recruiters will also benefit, as the tool aims to surface more qualified candidates, reducing the chances of strong applicants being overlooked.
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Whether this new approach will make life easier for job seekers is still up for debate. The last couple of years have been brutal for many industries, with massive layoffs still a regular occurrence at the start of 2025. All this means even fiercer competition for fewer openings — something no AI tool can ever hope to completely solve.
However, LinkedIn product manager Rohan Rajiv believes the lack of transparency in hiring is a big part of the issue, pointing out that early testing of “Job Match” showed that a “non-trivial chunk” of mismatches between candidates and jobs is easier to fix than people realize. “I think there’s a portion of this that will always be labor market dynamics, but I would argue that there’s a significant portion of this that is just pure lack of transparency,” he said.
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OpenAI’s ChatGPT Health Is A Private Space For Health Data
A new health mode lets the popular AI platform tap medical records and fitness apps while walling off sensitive information.
OpenAI has created ChatGPT Health, a separate space inside its chatbot platform for handling medical and wellness data. The opt-in feature starts with a small US cohort before widening out.
Health-related questions have long driven traffic to AI tools. OpenAI says over 230 million people ask ChatGPT about health or insurance each week. The new mode adds personal context to that behavior but stops short of diagnosis or treatment advice.
Users can connect records from participating US providers through b.well and link apps such as Apple Health, MyFitnessPal, Function and Weight Watchers. Some links are US-only, while Apple Health needs iOS. Once connected, ChatGPT can surface patterns in labs, summarize information ahead of a clinic visit or help map diet and exercise choices against past data.
The data sits apart from other chat information. Health has its own memories and does not spill into other conversations. Users can view or delete health memories at any time. OpenAI says this material is not used to train its models.
Security is much heavier in this section too. Health adds isolation and purpose-built encryption on top of the platform’s baseline protections. App connections require explicit permission, and disconnecting cuts the feed immediately.
“ChatGPT Health is another step toward turning ChatGPT into a personal super-assistant that can support you with information and tools to achieve your goals across any part of your life,” wrote Fidji Simo, OpenAI’s applications chief.
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Physicians had input during development, though OpenAI has not detailed how that shaped the end product. The launch follows Health Bench, a dataset released in May to test models on realistic medical cases.
While currently rooted in the US healthcare ecosystem, the approach may draw interest in the Gulf and wider MENA markets as governments push digital health records and patient portals under modernization programs. Adoption will depend on whether users trust an AI assistant with such personal material and whether it fits clinical routines.
For OpenAI, the move marks a cautious step into regulated terrain and signals a shift toward sector-specific uses of generative AI.
