In the context of the ongoing digital and intelligent revolution, generative AI like DeepSeek and Manus is radically reshaping the human resource market, driving the automation of traditional jobs and the rapid emergence of new occupational models. This has resulted in a fundamental transformation of skill structures and value distribution systems. This study focuses on generative AI like DeepSeek and Manus, developing a theoretical model to explore the interaction between the intelligent revolution and the human resource market. The study systematically examines the dimensions of technological impact and market reconstruction mechanisms, and conducts an in-depth analysis of the automation of knowledge-intensive jobs, the restructuring of the cognitive labor value chain, the evolution of human-machine collaboration models, and the internal logic of traditional and emerging skill transitions. The research finds that generative AI like DeepSeek and Manus plays a positive role in improving productivity, optimizing labor processes, and promoting industrial upgrades. However, their rapid application has exposed ethical risks, such as institutional lag, gaps in professional certification, algorithmic bias, and digital surveillance, which challenge laborers' rights protection, employment fairness, and social security systems. In response to these issues, the study proposes taking institutional innovation as the core, constructing a dynamic adaptive regulatory framework and universal basic skill accounts, along with strengthening labor relations legislation. It also suggests optimizing talent training mechanisms, enhancing lifelong learning capabilities, and promoting human-machine collaboration and high-quality human capital development through industry-education integration, public support, and vocational transformation training. Furthermore, it advocates for the establishment of a transitional employment protection fund and the improvement of digital taxes and income redistribution mechanisms to mitigate the income polarization risks caused by the digital divide. The research concludes that, although technological progress and market transformation bring unprecedented opportunities for the human resource market, it is essential to drive the fair distribution of technological benefits to all workers through multidimensional collaborative governance and institutional safeguards, achieving a synergistic enhancement of productivity and human capital as well as overall social stability. The theoretical analysis and governance recommendations of this study not only provide theoretical support and practical references for governments and businesses in formulating policies to respond to the impacts of the intelligent revolution, but also point the way forward for exploring new human resource management models in the future.