AI at Work Quiz: Are You Getting the Most From AI Productivity Tools?

An analyst needs to quickly understand the key findings of a 40-page industry report. Which AI use case is most appropriate?

Use AI to generate a new industry report based on training data Ask AI to write an email about the report without reading it Document summarization — paste or upload the report and ask the AI for a structured summary of key findings Search for the report's conclusions using a general web search

A company builds a prompt library in Notion with 30 useful templates. After 3 months, some templates produce worse results than they used to. What is the most likely cause and solution?

AI model updates changed behavior — review and update templates when models are upgraded, and record a version history The team is using too many templates — reduce to fewer than 10 Notion is not a suitable storage tool for prompt templates All templates expire after 3 months due to API policy

Which of these professional tasks is LEAST reliably handled by current AI tools?

Generating a first draft of a project status update Making final strategic judgment calls that require understanding organizational politics and relationships Translating a document into another language Summarizing a long email thread

A small accounting firm uses the free version of an AI chatbot to help draft client financial summaries. The summaries include client names and income figures. What is the primary data risk?

No risk — small accounting firms are exempt from data confidentiality regulations Free AI tools automatically encrypt all submitted data Free-tier AI tools may use inputs for model training, potentially exposing client financial data — this likely violates professional confidentiality obligations The AI chatbot will share client financial data with the IRS

What habit best protects a professional from automation complacency when using AI regularly?

Using only the most expensive AI model to ensure maximum accuracy Limiting AI use to one tool at a time Forming an independent take on a problem before asking AI, then comparing and critically evaluating the AI's perspective Never using AI for tasks that could affect clients