Borrow expertise by providing context and asking AI to apply knowledge
Use AI to apply knowledge from another field by giving it context, not asking it to teach you.
When asking AI for help outside your usual role, provide relevant context like documents or examples, and ask it to apply knowledge from another field.
Workers are more likely to provide examples or background and ask AI to check or verify something when asking about tasks outside their occupation. This suggests they use AI to borrow expertise rather than learn a new field.
Instead of asking 'Explain quantum physics,' provide a document about a specific quantum physics problem and ask AI to apply a known solution method from that field.
When using AI for tasks outside your typical job, provide specific context and relevant documents. Ask the AI to apply its knowledge to your problem rather than teaching you the entire subject.
This approach leverages AI's ability to synthesize information and apply learned patterns to new situations, making it efficient for cross-disciplinary problem-solving.
Do not use this when you need to learn a new skill from scratch or when the AI lacks the necessary domain knowledge.
- How workers are unlocking new ways of working ↗OpenAI · OpenAI News · Sep 16, 2026 · paraphrased
First seen on Subvolts Sep 16, 2026. Updated Sep 18, 2026. Spotted a problem? Tell us.
- How workers are unlocking new ways of workingOpenAI · OpenAI News · Sep 16, 2026
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
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Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with ChatGPT, Claude in the sources.
- Where did this come from?
- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.