AI & Work
AI is most useful at work when it has a defined job. The question is not whether a tool can generate something. It is whether using it actually improves the workflow.
Start with repetitive work
Drafting, summarizing, organizing, brainstorming, transforming existing information, and creating first-pass structures are common places where AI can reduce repetitive effort.
Keep verification in the workflow
AI-generated output can be incomplete, outdated, misleading, or wrong. The amount of review should increase with the consequences of an error.
Do not casually paste sensitive information
Before using confidential company information, customer data, employee information, proprietary material, or other sensitive data with an AI service, understand both your employer policy and the tool’s data practices.
Measure whether the tool actually saves time
A tool that saves five minutes but creates ten minutes of checking, formatting, or correction is not an efficiency improvement. Compare the whole workflow, not just generation speed.
Keep human responsibility clear
AI can assist with work, but the person using the output still needs to understand what is being submitted, communicated, or decided—especially in higher-stakes situations.