According to Sawyer Merritt on Twitter, Elon Musk acknowledged that the current X (formerly Twitter) algorithm has significant issues, particularly regarding its AI-powered recommendation system. Users report that liking a single post can drastically skew their entire feed toward that topic, and the 'For You' section now shows fewer posts from followed accounts. This highlights a core challenge in AI-driven social media: balancing personalization with content diversity. Businesses relying on X for outreach may need to adapt strategies as AI algorithm changes directly impact organic reach and audience targeting (Source: Sawyer Merritt, Twitter, Jan 20, 2026).

According to God of Prompt on X (@godofprompt), a recent post requested the X algorithm to highlight content specifically for the smartest AI builders on the platform (source: https://twitter.com/godofprompt/status/1982379032647016866). This approach underscores a growing trend where social media algorithms are being leveraged to directly engage and amplify AI developer communities. For businesses and AI startups, this demonstrates a strategic opportunity to use platforms like X for targeted networking, knowledge sharing, and collaborative innovation in artificial intelligence. AI industry leaders and developers can benefit from increased visibility and direct engagement, facilitating partnerships and accelerating AI product development.