The Translator Is Not Disappearing. The Job Is Being Rewritten.
AI is changing translation, and that part is no longer a prediction. The more useful question is what work becomes more valuable when first-pass language becomes cheap.
Arabic Is AI’s Stress Test, and Dialect Is the Reason.
Arabic is not difficult because it has “too many dialects.” It is difficult because the dialect is part of the meaning, and that is exactly what makes it a test for every language technology.
If Translation Is Becoming Cheap, What Are Clients Actually Paying Language Companies For?
International Translation Day deserves an uncomfortable question. The answer is not “more words.” It is context, orchestration, risk management, security, domain expertise and someone who owns the outcome.
Real-Time Translation Is Here. So What Is an Interpreter For Now?
If the words can be translated instantly, the question gets more interesting, not less. A look at the difference between transmitting speech and managing meaning, risk, emotion, privacy and accountability in real time.
Should translation still be priced per word in 2026?
One thousand words, two translators, two very different amounts of work. The industry’s favorite pricing unit is simple, familiar and, increasingly, a poor description of what buyers are actually paying for.
Is machine translation “good enough” for Georgian, Armenian and Kazakh?
“Good enough” is the most dangerous phrase in localization, because the answer depends entirely on what you are about to do with the text. A traffic-light test for languages that machines handle unevenly.
Should translators have to tell clients when they use AI?
Ask ten translators and you will get ten answers. Ask ten clients and you will mostly get one: yes. A case for disclosure as a professional standard, and the best arguments against it.