LinkedIn Faces A Surge In ‘AI Slop’ Content – How Does This Impact The Recruitment Process?

AI slop has started to affect the job market on both sides: the recruiters and the job hunters. This can be seen on platforms such as LinkedIn. But why is this a problem?

For starters, recruiters are having to spend more time going through AI generated applications than actually speaking to candidates. Kadan Stadelmann, Chief Technology Officer and Co-Founder at Compance.AI, said the volume of automated applications has turned hiring into an exhausting filtering exercise.

“Job listings and professional networking content is being drowned.”

He said, “Job applicants are using AI tools to generate polished resumes, cover letters, and tailored applications en masse. For instance, LinkedIn applications have ballooned more than 45 percent since 2024.”

That volume creates serious recruitment problems for employers posting vacancies online. Recruiters often receive hundreds of applications shortly after a listing goes live, many written in almost identical styles and formats.

Stadelmann said, “Recruiters are buried under a flood of applications. Every applicant can tailor their resumes quickly to each individual position. It’s impossible to know who is actually qualified and who is not. It’s even impossible to know who is real and who is not real.”

Ironically, though, recruitment teams are now also using automated screening systems to process applications, and Stadelmann believes those systems fail to solve the problem. He said, “Recruiters are becoming inefficient, receiving hundreds of applications within hours of posting a job, and using unreliable AI scanning apps to weed through the applications. Humans in the process are overwhelmed and frustrated.”

Cache Merrill, founder of Zibtek, said recruiters now struggle to recognise genuine interest from candidates because AI generated applications often sound nearly identical.

Merrill said, “The thing we’ve certainly seen this past year, more so than any other, is that it’s increasingly difficult to differentiate authentic candidate interest from well-optimised AI-generated content.”

He also said, “Particularly on LinkedIn where recruiters/hiring managers are bombarded with overly-polished outreaches/resumes/posts that all start to sound nearly identical. It’s not really that people are using AI, it’s just that there’s so much low-context content it makes it difficult to identify someone who actually gets the job, company or the role itself.”

But, there’s also the other side to this: recruiters using AI and automated systems to identify candidates also means they could miss out on good talent. AI reads the applications a certain way (and can miss things the human eye would not, due to something as slight as a formatting error), and so if the candidate’s CV isn’t the ideal template, the candidate loses out.

Which brings us to the next question…

How Does AI Slop Affect Job Hunters?

Candidates who spend time researching employers and writing thoughtful applications now compete against mass produced submissions generated within seconds. Recruiters dealing with massive application queues often have less time to study individual applicants carefully.

Merrill said thoughtful candidates can disappear within repetitive AI generated networking content and engagement posts. He said, “I also think this impacts good candidates much more than we assume. When feeds become clogged with repetitive AI-driven engagement posts and automated networking posts, substantive job discussions, referrals, and genuine hiring conversations get easier to overlook.”

That environment changes how applicants present themselves online. Generic motivational posts and polished networking updates no longer feel unique because thousands of users now publish similar material everyday.

Merrill said, “One of the things that is kind of interesting about this is that authenticity becomes an increasingly valued characteristic in the face of generated content, and the candidates who rise above tend to be the ones who are sounding the most human, specific and clear.”

So, What Should Professionals Do?

Stadelmann believes professionals may need to spend more time meeting people in person if they want meaningful career opportunities.

He said, “Professionals are going to need to start going to meetups and conferences, and networking like their professional lives depend on it, because they do. Recruiters and executives are also going to need to find their employees in the real world or through word-of-mouth.”

Recruitment may start revolving more around referrals, conferences and direct introductions because employers want proof that applicants genuinely understand the work they claim to do.

With so many remote workers, it’ll be interesting to see how this goes.

What Does This Do To Platforms Like LinkedIn?

LinkedIn has publicly acknowledged that AI generated spam damages conversations and weakens the quality of discussions on the platform. Laura Lorenzetti wrote in a LinkedIn article published this month that users want, in her words, “real voices, authentic perspectives and lived expertise.”

Lorenzetti wrote, “But lately, keeping that human element front and centre is becoming a balancing act. While AI can be a helpful tool for refining language, we’re seeing a rise in what many call “AI slop,” content that is low-effort, AI-generated content that may sound polished on the surface but lacks any real unique perspective or substance.”

She also wrote, “When AI is overused, especially at scale and in an automated way, it dilutes the valuable insights that real human conversations can spark. It’s ok to use AI to help you write, but your posts and comments need to represent your voice and your perspectives. The ultimate value comes from the human behind the tool.”

LinkedIn said it has started identifying repetitive AI generated posts and limiting how far they spread through the platform. Lorenzetti wrote, “Early results are encouraging. In our initial testing, we’re correctly identifying generic content 94% of the time.”

She also wrote, “That means this kind of content is far less likely to spread beyond someone’s immediate network, and you’ll see less of it from outside your network in your feed.”

The company also expanded profile verification tools. Lorenzetti wrote, “To help you cut through the noise, you can now filter for our 100M+ verified members across almost everywhere you engage with people on LinkedIn: profile views, job applications, and now comments and conversations in the feed.”

A while ago, we spoke about AI slop and how it was spreading through platforms like YouTube. Research from Kapwing had found that brainrot videos accounted for around 33% of the first 500 YouTube Shorts shown to a new user.

Professional networking platforms are now facing the same problem, where automated content fills the spaces up, preventing people from having real conversations online. Now, online spaces have become a place where bots interrupt useful interaction.