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LinkedIn AI Writing Assistant Isn’t Popular, CEO Says

by Tahir Gillani
June 23, 2025
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LinkedIn AI writing assistant struggles with adoption as professionals prioritize authenticity and fear being called out for AI-generated content.

In an era where AI is increasingly woven into the fabric of our digital lives, one might assume that LinkedIn AI writing assistant would be a natural hit. After all, who wouldn’t want a smart tool to help craft the perfect post or comment on the world’s biggest professional networking platform? But according to LinkedIn CEO Ryan Roslansky, the adoption of the feature has been less than stellar.

So what’s stopping users?

The Stakes Are Higher on LinkedIn

With content on platforms like TikTok or Instagram, there’s less at stake since those platforms are not associated with professional reputation. However, with LinkedIn content, users have a lot more to lose. They’re much more careful about how they present themselves. Authenticity is crucial. Users are afraid that by using something like the LinkedIn AI writing assistant, they’ll come off as less authentic or, even worse, mechanical.

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Roslansky pointed out that people worry on LinkedIn about being “called out” for things, something that has much greater weight in a work environment than it would on more social media sites. Being called fake or slothlike here might impact real job prospects.

Perfection Isn’t Always the Goal

While AI generative is quickly becoming a standard in most work settings, job listings that cite AI qualifications have increased six times. LinkedIn’s users appear to appreciate uniqueness and tone over immaculately produced writing. There’s an increasing feeling that imperfection in many cases can seem more authentic and human-like in an online universe.

What Could Help the Tool Gain Traction?

The solution may be to reposition. Instead of showing the LinkedIn AI writing assistant as a shortcut, perhaps it can be repositioned as a partner, a brainstorming partner that assists in shaping one’s thoughts while still using the user’s voice. Transparency and customization can be very effective: enabling users to fine-tune tone, maintain their phrasing, and even indicate if a post was assisted by AI could build consumer trust.

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