Don’t Sell AI Agents, Sell AI Infrastructures Instead (crazy opportunity)
AI Summary
Introduction: Overview of the potential of AI for generating significant revenue streams in 2025.
Core Message: Businesses should focus on building comprehensive AI infrastructures rather than single-use AI workflows or agents, as the latter are becoming commoditized and less effective over time.
Challenges with Single Use Cases:
- Using AI for narrow applications creates competition with many replicable solutions.
- Businesses tend to struggle when relying solely on one AI tool, leading to burnout and inefficiencies.
Building an AI Infrastructure:
- Creating a cohesive AI strategy that addresses multiple obstacles for clients can yield higher profits and better results.
Case Study Example:
- A client transitioned from selling AI call solutions for 12,000, demonstrating the financial benefits of broader AI applications.
Steps to Implement:
- Identify a solid niche with strong, sustainable businesses.
- Understand the gaps these businesses face and tailor solutions accordingly.
- Develop an effective sales funnel that addresses these gaps using AI as the core tool.
Conclusion:
- There is an urgent need for businesses to shift towards comprehensive AI systems to maximize their growth opportunities as the market evolves.