Publication Details
Abstract
Beijing's financial, internet, and industrial industries have been among of the first to use aided, autonomous, and augmented AI to improve their cyber defences. Nonetheless, the ramifications of these technologies on local cybersecurity talent management are insufficiently examined, since current research mostly focusses on technological innovations rather than workforce evolution. The Diffusion of Innovations (DOI) theory elucidates sector-specific adoption trajectories, whereas the Skill-Biased Technological Change (SBTC) theory elucidates the emergence of skill premiums. To fill this gap, the current study looks at how the three AI modalities directly affect cybersecurity talent management, how organisational technological readiness acts as a mediator, and how industry characteristics in Beijing's corporate landscape act as a moderator. AI-based cybersecurity solutions have become increasingly popular since threats are harder to predict and more complex. The field will be affected by future developments in AI and cybersecurity. AI and cybersecurity will change the employment market and technology by creating demand for new occupations and skills. Self-healing networks, often known as autonomous security systems, are some of the most interesting new developments in cybersecurity. AI will find and get rid of cyber risks on its own, without any help from people. A self-healing network cuts off systems that have been attacked, repairs security holes, and restores safe settings without needing IT help.