Main Idea

Use AI to improve a business—not necessarily to make the business about AI. Customers care about solving their problems and getting results, not about which technology you use behind the scenes.

Key Lessons

• Adopt AI where it improves normal business operations—making useful work faster or better.
• Don’t automate just because you can. Focus on the bottleneck that is actually limiting growth, such as a lack of customers or demand.
• Check whether AI is increasing revenue or creating meaningful value before investing heavily in it.
• Market the outcome, not the technology. Some customers may even feel wary of AI.

Example

A business spent about $350,000 building an AI system to replace 11 virtual assistants who cost roughly $11,000 per month to clean data. The system automated a process that wasn’t holding the business back; the company still needed more customers. The investment therefore targeted the wrong problem.

Bottom line: Before using AI, ask whether it addresses a real business constraint—and whether it helps the business make more money.