Report: AI Increases Need for English Skills
Contrary to expectations that AI might reduce language barriers, a new global report from TOEIC finds that 81% of employers say AI is increasing the need for English skills. The study of HR leaders suggests English proficiency is becoming more critical for global mobility, business growth, and optimizing AI performance.
The foundation of most large language models is built upon vast datasets of text, with an estimated 90% of this training data being in English. This linguistic dominance is primarily that of mainstream American English, which is deeply embedded in the internet's infrastructure and the corporate priorities of major tech companies. This English-centric development creates a performance gap. Using English prompts in AI coding assistants can result in 15-30% greater accuracy and up to 55% faster task completion compared to other languages. This advantage stems from the fact that 46% of web content used for training major language models is in English, with the next most common languages each accounting for less than 6%. While AI offers powerful translation tools, their accuracy remains a significant concern. Studies have shown error rates of 15-25% in AI-translated legal documents, and AI systems can misinterpret culturally-specific phrases around 40% of the time. For nuanced or high-stakes communication, this margin of error underscores the continued need for direct English proficiency. The current landscape of AI development means that access to the most advanced tools, research, and documentation is often available first and foremost in English. This can create a "digital language divide," where teams and individuals proficient in English can integrate new technologies and workflows more rapidly. Consequently, English proficiency is evolving from a communication asset to a key component of technological readiness.
