AI Floods The Content Pipeline. Nobody Reads It. Scarcity Still Sets Price, Obviously.
AI tools can now draft a week's worth of posts, convert one article into a carousel, an email, a video script, or platform-specific captions, all within minutes. A community of 18,000-plus AI enthusiasts is actively using these tools to save time and automate marketing tasks. The article's central observation is that production cost has collapsed toward zero while audience attention remains fixed and expensive.
This demonstrates the principle of asymmetric devaluation. When supply explodes but demand stays constant, the per-unit value of each unit drops regardless of quality. The mental model is Jevons Paradox in reverse. Cheaper production does not create proportionally more consumption. It creates noise. The mechanism is attention scarcity. Your content competes against an infinite backlog of machine-generated equivalents, so distribution and differentiation matter more than output volume.
A community of 18,000-plus AI enthusiasts described in the source is using AI tools to automate marketing tasks and save time. The article itself does not name specific companies or individuals beyond this group.
- Pick one topic you genuinely know well. Write three sentences of original insight that an AI model would be unlikely to generate from training data alone. This is your differentiation anchor.
- Paste those sentences into ChatGPT or Claude and ask it to produce a LinkedIn post, an Instagram caption, and an email subject line from that input. You now have three platform-adapted pieces in under five minutes.
- Before posting, ask yourself whether the distribution channel for each piece has an engaged audience. If the answer is no, the content is worthless regardless of how cheaply it was produced. Spend remaining time on distribution, not generation.