If an AI generates a drawing where a bolt hole is 0.1mm off center, and a bridge girder fails, who is liable? The software vendor? The machinist who trusted the drawing? The engineer who clicked "Accept?"
The role of the detailer shifts from to curator . Instead of spending 80% of their time drawing lines and dimensioning, they will spend 80% of their time reviewing, optimizing, and ensuring constructability. They become managers of the AI output, focusing their expertise on the tricky, non-standard problems that algorithms struggle with.
We are approaching a future where the lag between "Design" and "Fabrication" approaches zero. Imagine a workflow where a change is made in the architectural model, the cloud AI re-calculates the structural integrity, generates the new fabrication drawings, updates the bill of materials, and sends the update to the factory—all within the space of a coffee break.
If an AI generates a drawing where a bolt hole is 0.1mm off center, and a bridge girder fails, who is liable? The software vendor? The machinist who trusted the drawing? The engineer who clicked "Accept?"
The role of the detailer shifts from to curator . Instead of spending 80% of their time drawing lines and dimensioning, they will spend 80% of their time reviewing, optimizing, and ensuring constructability. They become managers of the AI output, focusing their expertise on the tricky, non-standard problems that algorithms struggle with.
We are approaching a future where the lag between "Design" and "Fabrication" approaches zero. Imagine a workflow where a change is made in the architectural model, the cloud AI re-calculates the structural integrity, generates the new fabrication drawings, updates the bill of materials, and sends the update to the factory—all within the space of a coffee break.