The Complete Guide to Using AI on LinkedIn

NinjaAI.com

I. Executive Summary

This briefing document summarizes key themes and actionable insights from Kait LeDonne's "The Complete Guide to Using AI on LinkedIn," published in September 2025. The article highlights the pervasive adoption of AI across various aspects of life and, specifically, its transformative impact on content creation and engagement on LinkedIn. LeDonne emphasizes a strategic, human-centric approach to AI utilization, advocating for its role as an accelerator and analytical tool rather than a full replacement for human input. The document employs a "Keep, Kill, Marry" framework to delineate effective and ineffective AI practices, while also addressing LinkedIn's evolving stance on AI-generated content and comments.

II. Main Themes and Most Important Ideas/Facts

A. The Pervasive and Rapid Adoption of AI

Ubiquitous Integration: LeDonne asserts that by 2025, AI has become a "key hire" in everyone's lives, from casual users ("your nana asking Siri to find her mahjong hacks") to those delegating complex tasks ("even my dad asked me to take a ChatGPT Agent for a spin in booking a rental car"). This illustrates AI's broad reach and growing acceptance.

Content Creation as a Prime Area: The "explosion" of AI is "most evidently" seen in content creation, particularly on LinkedIn, which remains "by and large, a written-content medium." While video is gaining traction, AI copywriting is presented as a significant tool for written content.

B. "Keep": Leveraging AI for Strategic Foundation and Research

LeDonne recommends retaining AI for foundational and research-oriented tasks to enhance professional presence on LinkedIn.

Niche Validation and Definition: AI tools are invaluable for "sharpen[ing] and validate[ing] a pain-centric niche." The article stresses that a narrowly defined, pain-focused niche is crucial for gaining traction, moving beyond mere demographics to target specific, costly problems.

Quote: "Cardinal sin number one, I see, when people don’t get traction on LinkedIn, is not having a narrowly defined niche that’s pain-centric."

Example: Identifying a target as "a PE partner focused on mid-market healthcare deals who is pissed and bleeding money out of his you-know-where because two tech systems aren’t integrated and duplicate records are showing in patient portals."

Target Audience Identification and Research: AI can perform "grunt work" by finding and identifying individuals within a defined niche. Tools like ChatGPT (nicknamed "Chet") or Claude can conduct "Deep research and agent mode" to retrieve names and "recent news briefings about them in a way that a LinkedIn search alone cannot."

C. "Kill": The Detrimental Impact of AI Comments

The article strongly advises against using AI for comments due to both platform repercussions and negative audience perception.

LinkedIn's Stance Against Automated Comments: LinkedIn is actively curbing AI-generated comments, signaling a "kill or be killed" scenario. The platform has updated its documentation, indicating it "may limit how many comments you can make in a given period and—if it detects excessive comment creation or the use of automation tools—it may also limit the visibility of those comments." (Social Media Today)

Negative Impact on Posters: AI commenting is not just an issue for the commenter but also "can also hurt the posters whose feeds get riddled with AI spam." LinkedIn "reduces the reach of such activity when detected," leading some users to "block chronic AI commenters" to protect their post visibility.

Authenticity and Credibility Concerns: The article highlights the absurdity of generic AI suggestions, citing the example of "disgraced FTX exec Ryan Salame" receiving "praise like 'Good luck!' and 'Congratulations!'" on his post about becoming an inmate. This underscores the lack of discernment and authenticity in AI-generated comments.