Chapter 4 of 4 • 15 minute read

What AI Can and Cannot Do (Yet)

Understand AI's real capabilities and limitations. Learn what AI excels at today and where humans remain essential for business decisions.

This is the opening paragraph. It should hook the reader immediately with a relatable business problem or compelling statistic. Speak directly to executives: "Your customer service team faces an impossible equation..."

Second paragraph builds on the problem and introduces the solution. Keep paragraphs short (3-4 sentences max). Use real company names and specific numbers whenever possible.

Main Section Heading

Start with context. Why does this section matter? What will they learn?

💡 Key Insight Box

Use these boxes for critical insights, important warnings, or "aha!" moments. They break up text and draw attention to what matters most. Like this: "70% of successful AI pilots fail to scale. Here's why..."

Subsection with Real Example

Company Name: What They Did

Then explain HOW they did it in business terms (no jargon). What decisions did they make? What obstacles did they overcome?

Term Cards (Optional - for terminology chapters)

📊 Technical Term (Business Translation)

Definition: Clear definition in one sentence. No jargon. Explain what it DOES, not how it works.

Analogy: Relate it to something executives know. "Like a restaurant menu that tells you what you can order..."

Why it matters: Business impact. "This lets you integrate AI without building from scratch, saving $500K in development costs."

Example: "Our app calls the OpenAI API every time a user asks a question."

Decision Framework or Checklist

End chapters with actionable frameworks. Give executives something they can use immediately:

  1. First Decision Point: If X, then do Y. If Z, then do A.
  2. Second Decision Point: Red flags to watch for...
  3. Third Decision Point: Success metrics to measure...

📖 Real-World Story or Case Study

Use these boxes for stories, case studies, or detailed examples. They provide context and make concepts concrete. Start with a problem, show the solution, share the results.

"Walmart faced inventory problems costing $100M annually. They implemented AI forecasting. Within 6 months, waste dropped by 30%, saving $30M in Year 1."

Key Takeaways

You've now completed all four chapters of Module 1. Take the quiz to test your knowledge and reinforce what you've learned.

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