This chapter analyzes how artificial intelligence reshapes the language services ecosystem across four interconnected dimensions: quality standards, compliance, professional ethics, and language (cultural) sovereignty. It traces the shift from intuition‑based judgment to process standards (developed by the International Organization for Standardization, and ASTM International), multidimensional frameworks such as Multidimensional Quality Metrics and ISO 5060, and intelligent feedback loops combining automated and human evaluation. Compliance is reframed as end‑to‑end data governance covering ownership, provenance, privacy (General Data Protection Regulation; China’s Personal Information Security Specification, GB/T 35,273‑2020), cross‑border transfer, platform logging, and contractual allocation of rights for AI‑assisted outputs. Ethical responsibility moves from narrow textual fidelity to task fitness, transparent human–AI collaboration, auditable processes, and reoriented education emphasizing workflow design, data stewardship, and decision competence. Social impact analysis highlights cultural reproduction, equity for low‑resource languages and users with impairments, and emerging trust architectures. The sovereignty discussion addresses community‑led data stewardship, Indigenous revitalization cases, and polycentric negotiation of value alignment in AI ethics. Sustainable competitiveness depends on adaptive standards, verifiable compliance infrastructures, participatory ethical frameworks, and protection of expressive diversity—aligning technical efficiency with social justice and cultural dignity.