AI as Buzzword vs. Reality

The gap between AI marketing and AI reality is significant.

When companies say "AI-powered," they often mean anything from simple rule-based automation to sophisticated machine learning.

What today's AI models actually do:
- Pattern matching on vast data — Models identify statistical patterns in training data
- Not "thinking" — There's no understanding, reasoning, or consciousness involved
- Prediction engines — They predict the most likely next output based on training

Questions to ask when evaluating AI claims:
- What specific task does this AI do?
- How was it trained?
- What are its limitations?