Artificial intelligence is rapidly transforming the translation industry, with many professionals reporting a decline in demand for their services due to the rise of AI tools. Nathan Chacón, a translator and interpreter in the Dallas-Fort Worth area, noted that since 2023, more clients are opting for AI-generated translations, leading to concerns among his peers about job security. According to the U.S. Bureau of Labor Statistics, the number of translators and interpreters working in the United States decreased by nearly 3 percent over the past five years, with around 75,300 professionals in the field. Experts like Carl Benedikt Frey from the Oxford Internet Institute predict that as AI improves, human translators’ displacement will accelerate. Despite advancements in AI, industry professionals emphasize the importance of human translators for tasks requiring cultural nuance and contextual understanding, especially in sensitive fields like law and medicine.
WhatsApp has introduced a new built-in translation feature for both iPhone and Android users, allowing messages to be translated into preferred languages. This feature, which is rolling out gradually, enables users to translate messages in one-on-one chats, groups, and channel updates by simply long-pressing a message and selecting the “Translate” option. Initially, Android users will have support for English, Spanish, Hindi, Portuguese, Russian, and Arabic, while iPhone users can translate messages into over 19 languages at launch. Android users can also enable automatic translation for entire chat threads. WhatsApp’s move comes as part of a broader trend in messaging apps to enhance communication across language, including Apple’s release of Live Translation with AirPods.
Why do we care?
Here’s your warning sign. Translation is getting wiped out by AI—fast. WhatsApp now has built-in translation in chats. For casual use, people don’t care if it’s perfect; it’s “good enough.” And that’s the point. Once AI gets close enough, whole industries feel the squeeze. Human translators still matter in law, medicine, and sensitive fields—but for everyday use, they’re being pushed aside. That’s the canary in the coal mine.
Other industries are next. Legal research—AI can already summarize case law faster than a junior paralegal. Finance—automated analysis and reporting will cut into analyst roles. Customer support—tier one helpdesk is already being eaten by chatbots and agent assist. Content writing—marketing copy and basic reporting are turning into commodity output.
For MSPs, the play isn’t to panic—it’s to guide customers on when AI is fine and when it’s dangerous. Translation shows us the slope: once “good enough” arrives, disruption follows. Providers who can set the boundaries—where AI works, where humans must step in—become the trusted advisors. Everyone else risks being lumped in with the slop.