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This is the bilingual post in English and Vietnamese. Vietnamese is below.

Đây là bài viết song ngữ Anh-Việt. Tiếng Việt ở bên dưới.

English

The puzzle of a relocation that looks simple

In 2026, one of the biggest operational stories in the global electronics industry has been Apple ramping up iPhone assembly in India, with its share estimated by industry sources at roughly a quarter of global output and forecast to keep rising, in order to spread risk away from over concentration in China. On the surface, this looks like a purely geographic and political decision: pick another country, build the plant, move the line, and you are done. But anyone who has ever stood inside a factory knows that behind that apparent simplicity lies a harsh truth that operations managers understand very well, and that outsiders usually overlook: you can move machines in a few months, but you cannot move the capability to make a good and cheap product overnight.

Here is the puzzle. The same iPhone design, the same kind of machinery, the same component suppliers, so why can a new plant in India not instantly reach the same cost, the same speed, the same rate of conforming product as a plant that has been running for years in China? Why do people talk about shifting gradually over many years, rather than flipping a switch and being done? If everything tangible is identical, then what intangible thing is creating the difference? And more importantly for all of us, does that intangible thing follow any law, or is it just luck?

The answer is yes, it follows a law, and that law was discovered almost a century ago, measured, verified across countless industries, and given a name. It is called the learning curve, and its broader version is called the experience curve. This is one of the most reliable and least talked about laws in operations management, a law that explains why doing more makes you better, and how much better, according to a formula you can actually compute. It is the invisible thing deciding why Apple cannot move the iPhone overnight, and it is also quietly shaping the cost and the fate of almost every business on earth, whether they know its name or not.

This article will not argue whether Apple should stay in China or move to India, because that is a matter of strategy and geopolitics that belongs to them. It will go into the operational law that lies beneath, the one that applies to every factory move, every new product launch, every time a team sets out to do something for the first time. We will trace back to where this law was discovered, on an aircraft assembly floor in the 1930s, understand the neat mathematics behind it, dissect why the learning happens at all, then come back to read the Apple and India case through that lens. And finally, we will draw out what an eatery, a clinic, a software company, or a garment workshop can each take home and apply, because this law spares no one who does anything repeatedly.