Handle the craft question without pretending it is not real.
How do we bring people with us?
Draft pathway. This content was written for the site and is awaiting content-owner review. The learning material in Learn with AI and Build Responsible AI has already been reviewed; this pathway has not.
In creative teams the concern is not only jobs — it is whether the work is still theirs. Dismissing that costs trust. Being specific about where judgment still decides the outcome is more honest and more persuasive.
- The craft concern is legitimate
Treat it as a real question about the work, not resistance to be managed.
- Name where judgment decides
Be concrete about which decisions remain human, or the reassurance is empty.
- Let people set their own boundary
Different people will draw the line differently. That is workable if it is explicit.
Two of Lucas's designers are enthusiastic. One says the work no longer feels like theirs and has started using the tool only when asked. Output volume is up. Nobody has discussed what the team wants its craft to be.
Lucas and every example here are prepared learning material, not a real case or an AI-generated result.
My change plan
- Have the craft conversation
Ask directly what the team wants to keep doing themselves, before deciding where the tool is used.
- Map the tool to stages
Decide which stages it assists — exploration, variation, production — and which stay entirely human.
- Allow different boundaries
Let people set their own limits within the agreed governance, and make that explicit rather than tacit.
- Measure more than volume
Choose signals beyond output — client response, rework, whether people still want the work.
Volume is up. One designer has disengaged.
Output has increased. One designer now uses the tool only when explicitly asked.
What is the right response?
Every option has an explanation. Open as many as you like — nothing is recorded or scored.
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