Like everyone in tech, I utilize LinkedIn to manage my professional network, showcase my work, and maintain visibility to recruiters. LinkedIn is central to professional life and has no real competitor.
Not long ago, I had a strange experience: a stream of posts about an Azure networking change. Nothing unusual, this kind of post floods my LinkedIn every week, but here, there was a tiny but consequential error. The update stated that the change would occur on 30 September 2025, yet the posts were dated December 2025. Everyone was warning readers to act on a change that, in reality, was scheduled for 31 March
This is where we are now: a lot of noise on a professional network. That noise is amplified by conformity. People avoid friction and rarely post dissenting views. The result is a chorus of similar takes that can feel caricatural; sometimes the most viral LinkedIn posts end up as jokes on Twitter or Reddit, and some have become famous memes.
This Mediocrity is only part of the problem on the platform. Much of LinkedIn is declarative and unverified: anyone can claim to be a Rust or Go expert simply by writing it. You can be a brain surgeon if you want; you only need to edit your profile. The platform is full of inflated titles and grandiose claims that often bear little relation to reality.
That’s bad news for job seekers. Recruiters must wade through noise and exaggerated titles before they even reach your profile. By the time they find you, they still don’t know whether your résumé is accurate or just inflated.
There is a lot of friction before reaching your profile. A potential recruiter will need to navigate through all the noise, do some research, and maybe find you. But at this point, the recruiter will have no idea if your profile is valid or if it is just an inflated one.
The recruiter needs to navigate to LinkedIn, like you do when trying to find a job. It’s often frustrating. The probability that a recruit will find you is limited.
LinkedIn’s interface, like any computer interface, is designed for humans to navigate into the complexity of data, to control their behaviours, and authorize access.
The interface is going to be disrupted by Artificial Intelligence. Agentic AI are systems that can autonomously plan, make decisions, and take actions to achieve goals without human direction, and can now replace some work tasks, including finding profile.
AI Agents do not have time to lose scrolling a feed on the interface; they work on raw data. When a recruiter instructs an agent to find an Azure architect skilled in Bicep and Terraform, the agent won’t scroll through posts and buzzwords. It will search raw, verifiable artifacts; GitHub and GitLab repositories, blog posts, published articles, … These are concrete and verifiable artifacts to spot the perfect profile.
In this agentic recruitment world, LinkedIn becomes secondary. It will be useful for correlation, but the primary sources will be your public artifacts: documented side projects, repositories, PRs and issues, and technical blog posts. Those are the things agents can verify and score.
To facilitate the AI, you should group them on a single page visible from GitHub, Twitter and LinkedIn. A personal brand API that automatically lists your original blog posts, your public repos, your PR, and your contributions. This will be your new AI era visit card.
LinkedIn still matters for human networking and visibility, but the rise of agentic hiring shifts the signal to verifiable, AI-readable artifacts. Start publishing concrete work and make it easy for agents to find and verify.
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