Tags
AI
Created
Jun 23, 2024 8:35 AM
Last edited time
Jul 9, 2025 7:53 AM
Before using Artificial Intelligence (AI) at work, consider the following:
- Review your company policies on IT security as you may not be allowed to use AI tools such as ChatGPT, Copilot or Gemini at work at all.
- If it’s allowed, ensure to opt out of any AI model training features before entering any information or creating a prompt.
- Be extra careful with entering confidential information, personal data or proprietary information. If you want to minmize risks, focus on brainstorming use cases without any confidential data input for your prompts.
- Consider a foundational course like Career Essentials in Generative AI by Microsoft and LinkedIn (5 hours of content)
That said, here are some frequently recommended use cases where current AI technology performs exceptionally well:
- Summarize information: Long messages and documents can be summarized to save time. You can also ask AI to rephrase content in case the vocabulary, acronyms or wording of something isn’t clear.
- Analyze data: Massive spreadsheets or long written documents are no challenge for AI. You can ask it about patterns or trends and even chat with AI about a specific part of the content.
- Brainstorming: AI is extremely potent at generating text and audiovisual content to make it easier to get started with a task. For example, I’ve used ChatGPT’s Dalle (image generation) to create thumbnails for my Substack newsletter. You can also generate text with a certain tone and voice if you set up your prompt or custom instructions appropriately.
- Review and critique: I frequently enter text or ideas into AI and ask it to critique or review it from a certain perspective. I even feed AI generated content back into AI depending on the results im getting. This allows me to iterate rapidly on whatever I’m working on without taking up a colleague’s time.
Looking for even more practical use cases?
