Published Date : 08/06/2025
Some of the world’s biggest tech companies have live translation devices either in the works or already on the market. But tech watchers say these developments raise larger questions about how AI tools are changing language learning and translation.
Google, Apple rolling out new tools that translate your speech on the fly
There's a suite of new and upcoming tools designed to make translation between languages easier and faster than ever before — some, with the help of artificial intelligence. At their I/O 2025 event, for example, Google revealed a live translation service it's added to its Google Meet videoconferencing tool. A demonstration showed two people speaking to each other — one in English, one in Spanish — with their speech translated into the other language with a short, seconds-long delay. The computer-generated voice mimicked the original speaker's voice and intonation.
Roger J. Kreuz, a professor at the University of Memphis who specializes in the psychology of language, said Google's live translation demonstration was
Q: What are the benefits of real-time AI translation tools?
A: Real-time AI translation tools can make communication between people speaking different languages easier and faster, potentially breaking down language barriers in business, education, and personal interactions.
Q: What are some concerns with AI translation tools?
A: Concerns include the potential loss of cultural nuances, the accuracy of translations, and the reliability of the technology in real-world settings, where conversations are often more complex and less structured.
Q: Which companies are leading in AI translation technology?
A: Google and Apple are leading in AI translation technology. Google has introduced a live translation service in Google Meet, while Apple is reportedly planning to update its AirPods to include real-time translation capabilities.
Q: How do AI translation tools handle sarcasm and homophones?
A: AI translation tools often struggle with detecting and properly translating sarcasm and homophones, which can lead to misinterpretations and humorous or confusing results.
Q: What are the implications of using state media texts to train AI translation models?
A: Using state media texts to train AI translation models can result in translations that reflect the biases and formal language of those texts, potentially missing important cultural and contextual variations.