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LinkedIn's "Brand Kit" helps advertisers align AI-generated ad copy and creative with brand guidelines. This indicates a double standard: if you pay for reach, LinkedIn is more permissive with AI-generated content, focusing on brand consistency for paid ads over organic authenticity.

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Current AI ad tools are highly effective at generating strong, platform-specific copy, especially for text-heavy formats like Google Search Ads. However, they struggle with visual elements, often producing generic imagery, incorrect logos, and poor layouts that require significant human iteration and refinement.

LinkedIn is penalizing low-quality AI content while simultaneously offering AI tools. This signals that the platform wants users to leverage AI as a collaborator to enhance authentic, human-generated ideas, not as a replacement for original thought.

The ease of generating content with AI led to a flood of low-effort posts, turning platforms like LinkedIn into showcases for "AI slop." In response, companies like Substack are rolling out anti-AI tools to detect and disincentivize machine-generated content, aiming to preserve quality and human authenticity.

In an era of rapid AI-generated content, maintaining brand integrity is paramount. Adobe addresses this by building features into its creative tools that enforce brand standards and guidelines, ensuring that speed and automation don't come at the cost of brand consistency.

Relying on AI to create a high volume of generic social media posts leads to 'mushy perception' and, consequently, 'mushy strategy.' This 'AI slop' fails to provide genuine value to audiences and actively erodes brand trust. To build credibility, brands must prioritize authenticity by elevating human voices, whether through employees or influencers with real reputations at stake.

The rise of AI-assisted content is creating a "sea of sameness" on LinkedIn. To stand out, brands should avoid posting just to maintain a schedule. If you don't have something valuable or unique to say, it's better to remain silent. When you do speak, your audience will listen more closely.

Instead of having AI generate entire posts, write the content in your own voice first. Then, use AI tools to refine specific elements like the hook or structure. This enhances quality while preserving the authenticity that algorithms and human readers value.

While AI video tools can generate visually interesting ads cheaply and capture views, they currently lack the authentic creative spark needed for true brand building. Their value lies in quick, low-cost content, making them a performance marketing tool rather than an asset for creating a lasting, memorable brand identity.

As AI makes content creation ubiquitous, the internet is flooded with shallow, generic "AI slop." Consumers are adept at spotting it, with 59% saying it damages their trust in a brand. This creates a premium for human-crafted, authentic stories.

Brands like Duolingo and Liquid Death are aggressively adopting AI for backend tasks like media buying efficiency and content scaling. However, they are deliberately keeping AI away from core brand creative, which they see as a uniquely human craft to be protected.

LinkedIn Encourages AI for Paid Ads While Suppressing Organic AI Content | RiffOn