Kuang Hao spent more than a decade running his own printing business. It was stable, it paid the bills, but he could feel the industry shifting around him. The writing was on the wall — and he decided to do something about it.\n\n"My career coach, Noel, helped me understand my strengths and better position my experience," he recalls. "The coach also encouraged me to enrol in AI Singapore's Apprenticeship programme (AIAP)."\n\nIt wasn't an obvious pivot. Most people entering AI come from computer science or mathematics backgrounds. Kuang Hao came from printing. But he'd already taught himself Python to build small apps for his own business — a skill most people didn't know he had.\n\nAfter months of self-study, he passed the programme's technical assessment. That opened the door to a company attachment, where he gained hands-on experience developing real AI solutions for clients.\n\nThe leap wasn't just about learning new technical skills. It was about reframing everything he'd already learned. The problem-solving muscle he'd built running a business — diagnosing issues, adapting to setbacks, finding workarounds — turned out to be far more valuable in AI engineering than anyone expected.\n\nDrawing on skills honed as a business owner — problem-solving, adaptability, and Python coding experience from building apps for his business — Kuang Hao successfully transitioned into tech.\n\nToday, Kuang Hao works as an AI Engineer at a multinational information technology company, developing AI platforms and solutions for businesses across industries. The man who once ran a printing shop now builds systems that other companies use to automate their own operations.\n\n"Changing careers wasn't about starting over," he says. "It was about building on what I already knew, staying open to new opportunities and continuing to learn."\n\nHis story is featured by Singapore's Ministry of Manpower as part of the Career Health SG initiative, aimed at helping mid-career professionals navigate economic transitions. For other workers watching AI reshape their industries, Kuang Hao offers a simple lesson: your existing experience is more transferable than you think — you just have to find the right translation.