Why Generic AI Chatbots Are Dying

The era of one-size-fits-all chatbots is ending. Here's why.

The Problem with Generic

Generic chatbots:

• Give generic answers
• Don't know your specific context
• Can't access your information
• Provide little differentiation

In a world where everyone has access to ChatGPT, generic isn't valuable anymore.

The Rise of Specialization

Users want:

• Answers to their specific questions
• Knowledge from genuine experts
• Information they can trust
• Unique, valuable insights

Generic AI can't provide this.

Examples in the Wild

**Generic**: "What's a good workout routine?"

• Textbook answer from internet training

**Specialized**: "Based on Coach Mike's methodology, for your goals, start with..."

• Expert knowledge, personalized

The difference is trust and value.

Why Businesses Are Shifting

Customer Experience

Generic chatbots frustrate users. They bounce.

Differentiation

If every competitor uses the same generic AI, no one stands out.

Value Creation

Specialized AI delivers actual value. Generic delivers content.

Trust

Grounded, sourced information builds trust. Generic hallucinations destroy it.

The Future

We're heading toward:

• AI trained on specific expertise
• Vertical-specific solutions
• Expert-created assistants
• Knowledge as a product

Generic AI becomes commodity infrastructure. Value moves to specialization.

What This Means for You

**If you're a business**: Generic AI won't differentiate you.

**If you're an expert**: Your knowledge is more valuable than ever.

**If you're building**: Focus on specialized, high-value applications.

The future belongs to AI that actually knows things.

[Build Specialized AI →](/signup)