嵌入式VS人工智能：两大风口方向，我到底该怎么选？

Employment Market Comparison - Embedded development is in demand in industrial, automotive, and IoT sectors, with companies like Huawei, DJI, Tesla, and Xiaomi seeking talent, primarily requiring a bachelor's degree and project experience [1] - Artificial intelligence positions are concentrated in internet, finance, and healthcare sectors, with companies such as Tencent, ByteDance, and SenseTime preferring candidates with a master's degree and a focus on research papers and competitions [1] Salary Level Comparison - For entry-level positions, embedded development salaries range from 8K to 15K, while AI salaries range from 12K to 20K [2] - Mid-level salaries for embedded development are between 15K and 25K, compared to AI salaries of 20K to 35K [2] - Senior positions in embedded development offer 25K to 40K+, while AI can reach 35K to 60K+ [2] Learning Difficulty Comparison - Embedded development requires skills in C/RTOS and hardware debugging, appealing to those who enjoy hands-on work and have a strong interest in hardware [2] - AI demands proficiency in Python, mathematics, and deep learning frameworks, posing a higher theoretical complexity and a significant math barrier [2] Future Trends - The next five years will see growth in AI, particularly in cross-disciplinary fields, while embedded development will benefit from IoT, smart vehicles, and Industry 4.0 [5] - AI roles may face intense competition, necessitating top-tier qualifications or outstanding achievements [5] Career Path Recommendations - For those interested in hands-on practical work and seeking job stability, embedded development is recommended [5] - Candidates with strong math skills and a passion for algorithm research should consider AI, especially if they have plans for further education [5] - A dual skill set in embedded systems and AI, particularly in edge computing, can significantly enhance salary potential [5]