The translation profession in Iran faces significant challenges, including administrative gaps, such as the absence of professional guilds and ethical standards, ouptdated curricula lacking practical skills, societal undervaluation of translators, and economic pressures from low wages and market competition. The rise of generative AI introduces further threats, with rapid advancements in machine translation potentially diminishing demand for human translators and raising quality concerns. This presentation explores stakeholder insights and proposes solutions like standardized certification, modernized training integrating AI tools, and public awareness campaigns. Prospects rely on unified advocacy, global benchmarking, and research to ensure Iran’s translation sector remains robust and relevant.

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