A 39-year-old accountant Wei Khjan Chan is in the news since he has set an example of how professionals can reshape their careers in the age of artificial intelligence. Wei Khjan instead of fearing automation, had decided to get ahead of AI by learning how to build his own tools using AI-driven “vibe coding.”
According to a report from Business Insider, Wei after spending nearly two decades in the accounting field, began noticing how quickly automation was changing everyday tasks. Therefore, rather than waiting for software to take over his routine tasks, he chose a different path learning enough coding to create his own solutions.
Moreover, what started as curiosity for him soon turned into a serious skill-building journey. This was powered by AI tools that translate simple prompts into functional code.
Building a Practical Tool for Problems
His first major project addressed one of the most repetitive tasks in accounting. This was expense claims. He created a web application that scans receipts, reads the text using AI, identifies important details, and organizes them automatically.
The tool now reduces manual entry, catches errors early, and delivers cleaner reports, saving both time and effort for his team.
He didn’t stop there. Using the same prompt-based coding approach, he added features that generate invoices and automate several small but time-consuming workflows.
Learning Through Small Steps
What makes his journey remarkable is that he didn’t come from a technical background. He says he built the application slowly, often coding late at night after finishing responsibilities.
He also says his method was simple to break every challenge into tiny parts, give the AI a clear prompt, test the result, and refine it. If something broke, he adjusted his instructions and tried again.
This patient, structured approach helped him move from zero experience to a fully functional internal tool.
New Way of Working
The accountant’s story shows a major shift happening across industries. AI is no longer just a tool for engineers it is becoming a skill multiplier for anyone. By building his own app, he not only improved efficiency at work but also proved that learning AI is not limited to tech professionals.
Instead of worrying about being replaced, he chose to reinvent his role. Moreover, he shows how AI can empower workers to take control of their careers, not lose them.
