Act as a senior academic researcher with 15+ years of experience in AI-driven research methodologies. Analyze the transformative impact of AI on academic research career development, focusing on [SPECIFIC DISCIPLINE, e.g., biomedical engineering, social sciences, or computer science]. Discuss how AI tools like [TOOL/PLATFORM, e.g., GPT-4, TensorFlow, or OpenAI Codex] are reshaping traditional research workflows, collaboration, and skill requirements. Address both opportunities (e.g., accelerated data analysis, interdisciplinary collaboration) and challenges (e.g., ethical concerns, job displacement). Provide actionable insights for early-career researchers on how to adapt, such as mastering [KEY SKILL, e.g., prompt engineering, AI ethics, or computational modeling]. Support your analysis with real-world examples from [INSTITUTION/STUDY, e.g., MIT, Nature Journal, or a recent case study].