Recently, the Middlebury Institute of International Studies at Monterey (MIIS), one of the world's top three translation institutes and widely hailed as the 'Harvard of Translation,' made a sobering announcement: it will officially close its on-campus graduate programs in the summer of 2027. The university cited financial and structural challenges, including a sharp drop in enrollment and widening financial deficits, as the primary reasons for this decision. However, the consensus within the industry leans toward attributing this outcome to the rapid advancement of AI translation technology.

According to a survey conducted by international market research and consulting firm Nimdzi, the adoption rate of the MTPE (Machine Translation Post-Editing) model has skyrocketed from 26% in 2022 to 46% in 2024. During this period, AI translation efficiency has surged by nearly ninefold, while costs have plummeted by 90%. Domestic translation company EC Innovations highlighted a stark contrast: while manual translation of 100,000 words of technical materials typically costs over 200,000 yuan and takes a month to complete, the MTPE model slashes costs to 120,000-150,000 yuan and reduces the timeline to just two weeks.

Under the relentless impact of AI, the translation industry ecosystem has undergone a seismic shift. Traditional translation job postings have plummeted by 47% year-on-year, and job requirements have become significantly more stringent—85% of companies now demand that applicants be proficient in AI translation tools. Against this backdrop, the closure of the Middlebury Institute of International Studies at Monterey serves as a stark illustration of how AI technology is disrupting traditional educational models.