AI content serves merely as the facade—sometimes a fairly decent facade.
There was a time when orgs were not competing for content at all.
Then we saw them competing for content for the volume. Then we saw them competing for the content quality.
Now again we do not see them competing at all.
Because AI content has left them in the state of content abundance and in a confusion too—what to do with this abundant and free content.
AI content is not being planned for the product foundation. We have a free and open source automatic teller machine where we swipe the card of keywords and get content.
Cursor, v0, Replit, Figma, Linear—these are the tools that teams use to build products. However, these tools still need solid foundation where we need the information architecture, and domain model driven content management system to bring order, structure, and the timing and context of how users find and use the information that we design.
AI content cannot build our product sense, product judgment, and product development and design skills. The facade is not the foundation—the organizations who swipe the card to fill their containers with AI content often struggle to grow and scale.
(A new category of car fuel might bring more efficiency for the car owners, and a better driving experience for the drivers. But without fully knowing the fuel consumption life cycle, using it as a flex-fuel vehicle often causes more damage to the engine.)
