While the adoption of artificial intelligence (AI) in health and medicine has the potential to improve patient care and outcomes, it has also raised concerns about the impact on labor and employment in the sector. 

There is fear that roles involving tasks that can be automated by AI algorithms will be displaced, and that some staff may not have the necessary skills or training to work with AI systems. This could result in a situation where a small number of highly skilled professionals are able to take advantage of the benefits of AI, while a larger number of workers are left behind.

Despite this apprehension, some experts have suggested that the adoption of AI may actually lead to the creation of new job opportunities in the healthcare industry, particularly in areas such as data science and AI development.

According to a report from the World Health Organization (WHO), the global health workforce is expected to reach 18.2 million by 2030, with a large portion of these jobs expected to be in areas such as nursing, midwifery, and medical assistance. It is likely that the adoption of AI in healthcare will lead to a shift in the types of jobs that are in demand, with a greater emphasis on roles that involve the development and management of AI systems.

Health systems will need to address a new set of challenges, include concerns around ethics, biases, data privacy and security as well all while ensuring that staff are satisfied and actively supported in their work. 

While it is difficult to predict exactly how the adoption of AI will impact employment in the healthcare industry in the long term, it is seems probable that the use of AI will lead to a shift in the types of jobs that are in demand and it is important to ensure that the benefits of AI are shared fairly among all workers. 

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