We’ve all seen the headlines by now: OpenAI is reportedly building its own X-like social platform according to a new report from The Verge. Where users can generate and share content with help from ChatGPT’s AI tools. The concept? A feed full of posts, images, and media created by (or with) artificial intelligence.
Honestly, I’m not surprised. But I’m also not fully convinced.
Let’s break down what this means — and why we think it could work… but also where things could get messy.
Why It Could Work
OpenAI building its own social network is a bold move — but a strategic one. Here’s why it makes sense:
Real-time content = AI fuel
Just like Meta uses Instagram and Facebook to train its models, and X feeds Grok, OpenAI wants direct access to the raw material that powers AI: us. User-generated content is the most current, contextual, and emotionally resonant data available. Owning that stream removes dependencies and gives OpenAI a training pipeline others can’t touch.
Gartner highlights this trend too: by 2028, at least one-third of business decisions will be made semi-autonomously or autonomously by AI agents. That’s only possible with data — and lots of it.
The AI-Augmented Experience Is the New Normal
Research shows that by 2028, 40% of services (both B2C and B2B) will be AI-augmented, and human-led options will become “premium” offerings. That means we’ll expect AI to help us be more creative, not just more efficient.
An AI-assisted feed makes sense in that world. ChatGPT could help users brainstorm tweets, rewrite captions, create visuals, or optimize for engagement — all things humans already struggle with.
It Could Democratize Content Creation
Generative AI has already lowered the barrier to entry for art, writing, video, and design. An OpenAI feed might give a voice to creators who previously lacked time, tools, or talent./li>
I have seen research that emphasizes this shift in skillsets too: AI is pushing enterprises to hire for adaptability and creative problem-solving over technical specificity, especially as low-code/no-code and AI-powered tools continue to rise.<
Why It Might Not Be a Great Idea
That said, not every AI use case needs a social feed — and there are some serious concerns to keep in mind.
Platform Fatigue Is Real
We’re already seeing saturation in the social space. Between X, Threads, Bluesky, and a dozen niche networks, carving out attention — let alone loyalty — is a steep hill to climb. Even Meta’s AI-first initiatives are struggling for daily engagement.
AI Training on AI-Created Content = Risk
As AI starts generating more of the content we consume, we risk entering a feedback loop — where AIs train on content produced by other AIs, rather than real human insight.
This is exactly the kind of scenario Gartner warns about: by 2030, half of enterprises will face irreversible skill shortages in critical roles due to “GenAI accuracy decline, skill erosion, and uncompetitive pay.”
That’s what they call AI lock-in — a situation where organizations are too reliant on AI systems, and human expertise fades out.
Overhype vs. Reality
The AI agent space is still highly fragmented and overhyped. Research points out that the first generation of AI agents may “crumble under the weight of marketing expectations.” We’ve seen this before — cool demos don’t always translate into usable platforms.
Building a stable, safe, moderated, and genuinely useful social platform is a different beast than building a chatbot.
