AI tools for market research can help you summarise news, organise sources and draft questions about a prediction market, but they cannot tell you what will happen.
What AI Is Good At
Language models are useful for summarising long documents, listing factors that could affect an outcome and turning messy notes into a clear checklist.
What AI Is Bad At
Models can be out of date, misread numbers and state wrong facts confidently. They have no special knowledge of the future.
Using AI as an Assistant
Treat AI output as a first draft to verify, not as a conclusion. You remain responsible for every decision.
Worked Example
A trader asks an AI assistant to list factors that could affect whether a bill passes. It suggests five. The trader checks each against official sources, finds one is outdated, and keeps four for their notes before comparing their estimate with the 38¢ market price.
Key Takeaways
- AI helps organise research, not predict outcomes.
- Models can be confidently wrong or outdated.
- Verify every claim against a primary source.
- Decisions and risk remain yours.