Common AI Failure Modes

Specific areas where AI consistently underperforms and how to work around them.

AI fails in predictable ways. Understanding these failure modes helps you anticipate problems and work around them. This is not about AI being "bad" - it is about understanding the tool well enough to use it effectively.

Objectives

  • Identify tasks where AI commonly fails
  • Understand why these failures occur
  • Develop strategies for tasks in high-risk areas
  • Know when to avoid AI assistance entirely
  • Apply appropriate verification for different task types

Key Takeaways

  • AI failures are predictable - learn the patterns
  • Math, counting, and spatial reasoning are weak points
  • Quotes, URLs, and specific references should never be trusted
  • Current information and technical details need verification
  • High-stakes areas (legal, medical) require human experts