47 Lines of AI Code Generate $2 Million

In 2024, 47 lines of Python code generated nearly $2 million in annualized revenue.

Why it matters: Although the code is simple, this snippet demonstrates AI's impressive abilities, which can surpass teams of engineers and tens of thousands of lines of code.

Between the lines: So what does it do?

• This code automatically summarizes customer support tickets using OpenAI APIs and classifies them into action buckets: bug, feature request, or billing issue.

Zoom in: Low-cost, high-impact tasks like this are ideal examples of how organizations should implement AI.

• If the initiative fails, it consists of only 47 lines of code, which poses no risk of harm.

• Additionally, it does not require access to sensitive data.

Context: By starting with safe options, companies can devote more attention to adoption, training, and strategy, rather than getting bogged down in technical complexities.

• This approach ensures that whatever is developed aligns with the organization's needs and is more likely to be embraced by the staff.

The intrigue: There are two approaches to AI. On one side, there are major moonshot initiatives supported by billions in funding.

• On the other side, there are smaller-scale applications that effectively automate workflows.

• According to RAND, Gartner, and our findings, the smaller-scale applications are emerging as the winners due to their low cost and high impact.

What's next: While recent layoffs at Microsoft, Google, and IBM may raise concerns, it's essential to recognize that most Enterprise AI initiatives aim to empower, not replace, knowledge workers.

• With AI enabling a 4-day workweek, employees are achieving incredible productivity—accomplishing more in less time and enhancing overall efficiency.

Go deeper: To understand how to be a part of the AI revolution instead of a casualty, reach out to Todd Moses & Company for a free guide.