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The current situation of the surge in employee workload

Employees find themselves facing unprecedented work pressure. The originally relaxed work rhythm is disrupted by a large number of tasks and requirements. The daily working hours are constantly extended and the rest time is compressed, resulting in physical and mental exhaustion.

Taking the field of software development as an example, although the introduction of AI technology has improved the efficiency of certain links, it has also brought more complex project requirements, requiring developers to process more data and code.

In the financial industry, AI is used for risk assessment and investment decision-making. Employees need to constantly update their knowledge and skills to adapt to the new working model, which undoubtedly increases their workload.

Reasons for the surge in workload

On the one hand, companies are overly dependent on artificial intelligence technology in pursuit of higher efficiency, but fail to properly plan their human resources allocation. They expect employees to master new skills and tools in a short period of time to cope with changing work requirements.

After introducing AI systems, many companies fail to provide adequate training to their employees, resulting in inefficiency in employee operations and forcing them to spend more time and energy to complete tasks.

In addition, the intensification of market competition has also forced companies to constantly pursue innovation and rapid response, which has put tremendous pressure on employees.

On the other hand, the imperfection of artificial intelligence technology itself is also an important factor. Although AI can handle large amounts of data and repetitive tasks, human intervention and judgment are still required in some key decisions and the resolution of complex problems.

For example, in medical diagnosis, AI can provide preliminary analysis, but the final diagnosis still requires the doctor's professional knowledge and experience. This means that doctors not only have to handle daily diagnosis and treatment work, but also have to review and correct the results generated by AI, which greatly increases the workload.

Negative impact of increased workload

This surge in workload has had a serious impact on the physical and mental health of employees. Working under high-intensity conditions for a long time can easily lead to physical illnesses, such as cervical spondylosis, lumbar spondylosis, and decreased vision. At the same time, they are also under tremendous psychological pressure, and are prone to anxiety, depression, burnout, and other emotions.

At work, they may feel overwhelmed and lose enthusiasm and motivation for their work, which in turn affects work efficiency and quality.

In terms of personal life, because work takes up a lot of time and energy, employees are unable to fully spend time with their family and friends, which affects interpersonal relationships and family harmony.

What to do

In order to alleviate the problem of surging employee workload, both companies and individuals need to take positive measures. Companies should rationally plan work tasks, optimize work processes, and provide employees with necessary training and support. At the same time, they should establish a good communication mechanism, listen to employees’ voices, and pay attention to their needs and feelings.

On the technical side, AI systems can be further refined to increase their accuracy and autonomy, reducing the need for human intervention.

For individual employees, they should learn to arrange their time reasonably and improve work efficiency. At the same time, they should focus on self-regulation and relaxation and maintain a good mentality and physical condition.

In short, in the upsurge of artificial intelligence, we cannot ignore the problems caused by the surge in employee workload. Only through the joint efforts of enterprises and individuals can we achieve the harmonious development of artificial intelligence technology and employees and create a better future.