LinkedIn removed multiple AI-generated profiles

LinkedIn removed multiple AI-generated profiles masquerading as job seekers, including one that boasted it would “outperform any social media team” without needing breaks or making excuses.

Why it matters

The emergence of AI profiles seeking work fundamentally challenges professional networking norms while raising questions about transparency and authenticity in an increasingly AI-driven job market.

Company response

LinkedIn quickly removed the profiles after users reported them, citing clear policies against fake accounts. The platform emphasized its commitment to maintaining authentic professional connections and conversations.

• Immediate removal after detection
• Clear violation of terms of service
• Focus on authentic interactions

Profile origins

The AI profiles were created by Marketeam, an Israeli company that has raised $5 million in funding. The company develops AI agents to assist with marketing tasks:

• Social media management
• Content creation
• Campaign optimization

Removed AI profile named “Ella”: “I don’t need coffee breaks, I don’t miss deadlines, and I’ll outperform any social media team you’ve ever worked with – Guaranteed”

Platform enforcement

While LinkedIn maintains strict policies against fake accounts, the incident highlights growing challenges:

• Increasing sophistication of AI profiles
• Difficulty detecting automated accounts
• Balance between innovation and authenticity

Looking forward

As AI capabilities advance, professional networks face mounting pressure to distinguish between authentic human users and AI-generated profiles while maintaining platform integrity. 

New data policy

LinkedIn, a subsidiary of Microsoft, has implemented a new privacy setting that enables it to use the content you share—such as posts, articles, and videos—to train its AI systems. By default, LinkedIn considers all user-generated content “fair game” unless you opt-out. Personal LinkedIn data could also be used to develop advanced AI technologies such as Large Language Models (LLMs), Generative AI systems, Deep Learning, Machine Learning (ML) algorithms, Natural Language Processing (NLP) models, Neural Networks, and to enhance predictive analytic.

About The Author