Generative AI offers significant opportunities for second language learning. Tools like ChatGPT provide practice through written or voice chats, allowing learners to specify conversational parameters. AI can offer corrective feedback and create exercises, and instructors can build materials in various media. Generative AI supports both autonomous and instructed learning, and can enhance immersive technologies. However, AI's statistical model of language limits its ability to handle sociocultural aspects. Ethical concerns and practical constraints exist, especially for less privileged populations. Despite this, AI's power and versatility are likely to make it a constant companion in many lives, creating a close connection beyond simple tool use. Ecological theories like sociomaterialism help examine shared agency between humans and AI in language learning. Indigenous perspectives can help understand inclusive linguistic plurality and symmetry in control and action between humans and entities. Generative AI is reshaping education, with significant changes in writing assignments and assessments. AI is being integrated into coursework, and efforts to detect AI-generated content have been ineffective. Students and teachers have found AI useful for writing, grammar correction, and translation. AI's ability to create lesson plans and assessments is also being utilized. The use of AI in language learning is a growing trend, with many studies exploring its capabilities. AI's role in language learning is evolving, with potential for immersive environments. AI's ability to act proactively and initiate conversations is notable, but it does not mean we have reached the "singularity" of super intelligent systems. AI's capabilities are expanding, with improvements in language output, reasoning, and multimodal integration. AI's role in language learning is complex, with potential for both benefits and challenges. AI can be a valuable tool for language learning, but it also raises ethical and practical concerns. AI's ability to act autonomously does not require consciousness, but it represents a contingent form of agency. AI's use needs to be constrained by rights, responsibilities, and ethics. AI's ability to act on behalf of humans is not necessarily symmetrical, as AI use is influenced by these factors. AI's use in language learning is a dynamic process, with shared agency between humans and AI. AI's role in language learning is evolving, with potential for immersive environments and collaborative activities. AI's use in language learning is a growing area of research, with studies exploring its capabilities and limitations. AI's ability to assist in writing, grammar correction, and translation is being utilized. AI's role in language learning is complex, with potential for both benefits and challenges. AI's use in language learning is a dynamic process, with shared agency between humans and AI. AI's role in language learning is evolving, with potential for immersive environments and collaborative activities. AI's use in language learning is a growing area of research, with studies exploring its capabilities and limitations.Generative AI offers significant opportunities for second language learning. Tools like ChatGPT provide practice through written or voice chats, allowing learners to specify conversational parameters. AI can offer corrective feedback and create exercises, and instructors can build materials in various media. Generative AI supports both autonomous and instructed learning, and can enhance immersive technologies. However, AI's statistical model of language limits its ability to handle sociocultural aspects. Ethical concerns and practical constraints exist, especially for less privileged populations. Despite this, AI's power and versatility are likely to make it a constant companion in many lives, creating a close connection beyond simple tool use. Ecological theories like sociomaterialism help examine shared agency between humans and AI in language learning. Indigenous perspectives can help understand inclusive linguistic plurality and symmetry in control and action between humans and entities. Generative AI is reshaping education, with significant changes in writing assignments and assessments. AI is being integrated into coursework, and efforts to detect AI-generated content have been ineffective. Students and teachers have found AI useful for writing, grammar correction, and translation. AI's ability to create lesson plans and assessments is also being utilized. The use of AI in language learning is a growing trend, with many studies exploring its capabilities. AI's role in language learning is evolving, with potential for immersive environments. AI's ability to act proactively and initiate conversations is notable, but it does not mean we have reached the "singularity" of super intelligent systems. AI's capabilities are expanding, with improvements in language output, reasoning, and multimodal integration. AI's role in language learning is complex, with potential for both benefits and challenges. AI can be a valuable tool for language learning, but it also raises ethical and practical concerns. AI's ability to act autonomously does not require consciousness, but it represents a contingent form of agency. AI's use needs to be constrained by rights, responsibilities, and ethics. AI's ability to act on behalf of humans is not necessarily symmetrical, as AI use is influenced by these factors. AI's use in language learning is a dynamic process, with shared agency between humans and AI. AI's role in language learning is evolving, with potential for immersive environments and collaborative activities. AI's use in language learning is a growing area of research, with studies exploring its capabilities and limitations. AI's ability to assist in writing, grammar correction, and translation is being utilized. AI's role in language learning is complex, with potential for both benefits and challenges. AI's use in language learning is a dynamic process, with shared agency between humans and AI. AI's role in language learning is evolving, with potential for immersive environments and collaborative activities. AI's use in language learning is a growing area of research, with studies exploring its capabilities and limitations.