Justin Oberman Proposes Human-Centric Solutions to LinkedIn’s AI Woes

In a recent LinkedIn post, Justin Oberman offers a sharp critique of LinkedIn’s recent reliance on artificial intelligence, suggesting a return to human-centric approaches for platform improvement. Oberman questions the platform’s decision to combat AI-generated content with more AI, proposing a series of alternative, often humorous, fixes he believes would better serve the user community.

Oberman’s central argument is that LinkedIn has strayed from its roots, where human interaction and follower engagement were paramount. He contrasts the current AI-driven environment with a past where the algorithm prioritized content that resonated organically with users. As Justin Oberman notes:

“Seriously asking: If you ran LinkedIn for one day, what’s the FIRST thing you’d fix?”

Human Oversight Over Algorithmic Solutions

Justin Oberman suggests that instead of deploying AI to fight AI, LinkedIn could have invested in human moderators and more intuitive content filtering. He outlines a list of potential actions, ranging from the practical to the satirical, all aimed at restoring a sense of community and genuine connection on the platform. Oberman’s proposed solutions highlight a frustration shared by many users who feel the platform has become saturated with inauthentic or repetitive content.

One of Oberman’s key points is the potential for simple human intervention to be more effective than complex AI systems. He humorously suggests banning certain overused emojis and phrases:

“Banned the rocket emoji.
Auto-deleted any post containing “that’s not x. That’s y.””

These suggestions, while lighthearted, underscore a deeper concern about the quality and authenticity of discourse on LinkedIn. By proposing these specific, human-readable rules, Oberman implies that a more direct, less automated approach could curb the spread of low-value content.

Restoring User Agency and Engagement

Beyond content moderation, Justin Oberman advocates for giving users more control and feedback mechanisms. He points to the lack of direct user input in the platform’s development and algorithm changes. Oberman believes that empowering users with tools like downvoting or even simpler feedback loops could lead to a more responsive and user-aligned platform.

Oberman’s frustration is palpable when he discusses the current limitations placed on user interaction, such as the inability to easily paste content into posts. He contrasts this with a desire for more straightforward, user-friendly processes:

“Made it impossible to paste content into a post.
Let us downvote.”

According to Justin Oberman, these changes would foster a more authentic environment where quality content naturally rises to the top, driven by genuine user interest rather than algorithmic manipulation. He emphasizes the value of the ‘old algorithm’ which, in his view, prioritized the reader’s experience and follower interactions.

A Call for Genuine Community

Ultimately, Justin Oberman’s LinkedIn post serves as a call to action for LinkedIn to reconsider its strategic direction. He urges the platform to prioritize the human element – the users, their interactions, and their feedback – in its quest for growth and engagement. By posing the question about the first fix if one were in charge, Oberman invites a broader conversation about the future of professional networking platforms and the role of technology in fostering genuine connection.

In Justin Oberman’s view, the most effective path forward for LinkedIn involves listening to its community and implementing changes that reflect the needs and desires of its users, rather than solely relying on technological solutions that may alienate them.