By Jonathan Baker Artificial intelligence (AI) is no longer the exception but the rule in everything from online searches to performing job tasks. But has a tipping point been reached? Has the world become too reliant on AI? The findings below underline why balance and careful application of this technology is necessary. Indeed, balance and care are becoming as essential as AI itself. Consumer Concerns The expression that ‘the customer is always right’ remains relevant, especially since many consumers in the United States express more concern (and less excitement) over AI. This growing unease underscores the importance of how brands and platforms should implement AI moving forward. In response, many companies are reevaluating how, where, and to whom they apply AI within their operations. At the same time, they continue to implement AI tools to drive efficiency in targeted ways. In short, it’s a balancing act, and one that is particularly visible across social media platforms. Starting with Social Media An article published in EMARKETER detailed how major social media platforms are responding to the rise of ‘AI slop’—high volumes of low-quality, AI-generated content that lacks originality or substance. Their approaches include: LinkedIn The world’s largest professional networking platform is introducing safeguards to detect and limit the reach of AI-generated posts and comments that lack unique perspective. Rather than removing this content, LinkedIn is reducing its distribution across feeds. The platform is also introducing filters that allow users to view content from verified profiles only. At the same time, LinkedIn continues to expand AI-powered tools for job applications, candidate screening, and content creation. TikTok The short-form video leader is giving users more control through feed-filtering options that adjust how much AI-generated content served to them. Meanwhile, TikTok continues to expand its AI toolkit with solutions like GMV Max Creative Hub and AI Alive, both of which support content creation, discovery, and commerce. Pinterest Pinterest has introduced a genAI content tuner that allows users to control how much AI-generated content appears in their feeds. Alongside this, the platform is rolling out AI-powered features such as generated collages to help advertisers scale creative output and drive engagement. Meta Across Facebook, Instagram, and WhatsApp, Meta is taking a dual approach by placing restrictions on AI usage for younger audiences and labeling AI-generated ads for the sake of transparency. At the same time, it continues to advance AI-driven advertising capabilities. Across these platforms, a common theme has emerged: Giving users greater control over how much AI-generated content they see, while continuing to invest in AI innovation. Meta complements this approach with added safeguards and labeling to improve transparency and, by extension, trust. Closing Thoughts Taking a cue from these social media sites, striking the right balance in AI usage has become an all-important challenge. The key is knowing when the benefits of speed and efficiency are outweighed by the risk of low-quality, generic content. Without this balance, brands risk losing the trust of their audiences (who, as stated above, are ‘always right’). EGC Group practices this balance by combining thoughtful AI application with clean, high-quality content through our Performance Media Engine. If you are interested in learning more about this innovation, contact us for a complimentary performance creative audit. Related reading:AI is Entering the Creator Economy. The Brands Using it Right Will Win. The Ones Using it Wrong Will Get Called Out.
