prefer products<\/a> with information in their native language, and 40% won’t buy in a language other than their own. Read that again; it means nearly half of your potential customers will walk away from a product that\u2019s translated late, badly, or not at all. Yet most organizations still treat language as a formatting step. You build something, then you translate it. But language shapes the thing itself: how a product is described, how value is framed, and what even gets built. When English is the default, you\u2019re choosing a worldview without realizing you\u2019ve made a choice.<\/p>\nI\u2019ve sat in countless planning sessions where teams describe their \u201cglobal\u201d customer, but everything about that customer (from their pain points to how they evaluate products to their marketing persona) maps back to an English-speaking context. That\u2019s not a neutral starting point. It\u2019s a constraint that quietly filters out entire segments of demand. <\/p>\n
This shows up most clearly in how companies prioritize markets. I\u2019ve seen leadership teams delay entering high-growth regions, not because the opportunity wasn\u2019t there, but because translating their existing materials felt like overhead. But when teams know their product, content, and messaging will live across multiple languages, they approach the work differently from day one. They\u2019re more precise about what they\u2019re actually trying to say. And they\u2019re quicker to identify ideas that don\u2019t travel well across markets. In my experience, this discipline often leads to better outcomes in all languages, including in English.<\/p>\n
AI can’t translate everything<\/h2>\n
Thanks to AI, translation is becoming faster and more accessible, which is a real step forward. But it\u2019s also led to a new misconception that language is now \u201csolved.\u201d From what I see working with companies every day, the opposite is true. AI can translate words at scale. It can\u2019t decide what should be said, how value should be framed in a specific market, or when an idea needs to be rethought entirely. Decisions like these still require judgment. And increasingly, that judgment is what separates companies that expand successfully from those that struggle.<\/p>\n
How to design for multiple languages<\/h2>\n
For leaders, this isn\u2019t about whether you invest in translation at all. It\u2019s about whether your decisions assume a single market or multiple from the outset. That distinction shows up in several ways:<\/p>\n
First, assume from the outset that your product and messaging will exist in multiple languages, and build systems that reflect that reality. This reduces rework and forces clarity earlier in the process.<\/p>\n
Second, localize the idea, not just the words. If something doesn\u2019t resonate in another market, it\u2019s rarely because the translation is off. More often, the underlying premise needs to be adapted. The companies that grow effectively give teams permission to rethink, not just translate.<\/p>\n
Third, move language upstream. The earlier language considerations are integrated into product and marketing workflows, the fewer bottlenecks you create later. Treat language as a core input, not a final step.<\/p>\n
Finally, be explicit about who you\u2019re designing for. If the customer you picture in decision-making only exists in one language, you\u2019re likely leaving growth on the table. Expanding globally isn\u2019t just about reaching more people; it\u2019s about understanding them on their own terms.<\/p>\n
The companies that get this right rarely talk about translation as a standalone function. They talk about markets, customers, and growth. Language is simply embedded in how they operate. The assumption that English should come first has persisted because it\u2019s invisible. It feels neutral and efficient. But in my experience, it\u2019s one of the most limiting defaults a company can carry into its growth strategy and one of the easiest to overlook.<\/p>\n
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