Tech companies operating major social platforms are rapidly refining their policies on AI-generated content, particularly for monetized accounts, as the industry navigates the tension between technological advancement and content quality. As platforms invest heavily in artificial intelligence infrastructure, they are simultaneously implementing stricter guidelines to prevent an oversaturation of low-quality, machine-generated material in user feeds. Pinterest has taken a proactive approach by introducing mandatory AI labeling for content, alongside internal detection systems to flag AI-modified or generated posts. The platform also provides users with feed controls to adjust their exposure to generative AI material. Pinterest CEO Bill Ready noted in June that while AI offers significant creative benefits, consumer pushback is growing, prompting the company to prioritize quality and user choice in its recommendation algorithms. Meta has similarly expanded its labeling framework across Facebook, Instagram, and Threads, tagging detected AI-generated content with an AI information notice. Since June, the company has extended these labels to AI-driven advertisements, regardless of whether they utilize Meta proprietary tools or third-party software. The platform continues to encourage creator engagement with its AI features while maintaining the option for users to voluntarily mark AI-assisted posts. YouTube and Substack are also adjusting their creator programs to address AI proliferation. Both platforms are revising monetization eligibility to ensure that automated or mass-produced content does not qualify for revenue sharing, aiming to preserve the integrity of the creator economy. These policy shifts reflect a broader industry trend where platforms previously incentivized creator growth are now recalibrating support structures to align with AI-driven production realities. The evolving regulations underscore a delicate balancing act for tech companies. While artificial intelligence accelerates content creation and platform innovation, it also risks devaluing human creativity and degrading user experience. By enforcing transparency through labeling, implementing user controls, and restricting AI content from monetization pathways, major social networks are attempting to safeguard creator livelihoods and maintain audience trust amid rapid technological integration.