10 Lesser-Known Jobs in the Language Industry

This article highlights ten career paths that you may not have heard about, but that offer exciting opportunities to combine language skills with other in-demand skill sets, such as HR or IT.

Centific Secures $60M Series A to Scale Global AI Data Operations

Centific secures $60M in Serie A funding to expand its AI data operations across Asia, with support from Granite Asia and Jenny Lee.

Cultural Competence: A Key to Thriving in Global Business

In today’s interconnected world, professional success increasingly depends on our ability to navigate cultural differences with humility, curiosity, and adaptability.

The Need to Better Serve Tibeto-Burman Languages

While the focus of language services is often on common Sino-Tibetan languages such as Mandarin Chinese, smaller languages are often left behind.

Replica Studios Is Shutting Down. What Does That Say About the Future of Voice AI?

Replica Studios, known for AI voice generation and ethical licensing practices, will cease operations on June 30, 2025.

AMN Language Services Hit a Speed Bump—But the Road Ahead Still Looks Promising

AMN language services saw revenue dip to USD 75 m in Q1 2025, the first decline since the Stratus Video acquisition, amid rising competition and consolidation.

Data Privacy in the Language Industry: Ensuring Compliance in Multilingual Services

LSPs must adopt robust security measures to ensure data integrity. Non-compliance not only risks substantial financial penalties, but also undermines client trust in global business partnerships.

Gladia Secures $16M to Expand Multilingual AI Transcription Technology

The startup has developed a multilingual real-time transcription engine that supports over 100 languages. The new funding supports Gladia’s research and development efforts to expand its offerings, including developing LLMs and RAG capabilities.

Milestones in the Language Industry: A Chronological Journey

The language industry has seen many changes over the past decades, from the rise of translation management systems and neural machine translation to large language models. As the language industry continues to evolve, AI-driven innovations will lead the charge.