Constant control through algorithms: the future of the working class in 2040
Posted: Sun Feb 02, 2025 10:19 am
According to a study by the Brooklyn Institute, automation and artificial intelligence technologies could replace up to 25% of the workforce in the United States, especially in simple, monotonous, and repetitive tasks. By 2040, technology will also control those who do not lose their jobs to automation: they will train neural networks or optimize processes in existing companies.
Some professions are already managed by algorithms. For example, Uber’s algorithms plan routes for drivers and transform them from independent workers into components of a larger system. The system not only manages the drivers, but also collects data on their performance, driving skills, and customer satisfaction. It’s a continuous, repeating cycle where algorithms observe a person’s work and analyze the information they receive.
According to Lew Maltby, head of the US National Institute for Labor Law, employers will not miss the chance to obtain more information about workers, and algorithms will allow for improved control.
Monitoring workers brings benefits, according to developers of qatar number data monitoring software and its customers. For example, monitoring should help employees use their working time more efficiently, ensure safety by prohibiting overtime or continuous work for long periods. At the same time, analysis of work quality occurs unnoticed by employees.
But technology can also undermine the current culture of curiosity and micromanagement in companies. By 2040, algorithmic surveillance and data collection will likely become the norm, and it will not be enough to explain them as “good for the company and employees.”
Currently, the work of algorithms is most noticeable in services: car sharing or food delivery. But gradually the technology is reaching established areas: warehouse management, freight transportation and housekeeping services. Hotel employees are increasingly using an application that determines the best order to clean rooms.
Warehouses
One example of powerful algorithmic monitoring in large corporations is Amazon’s fulfillment centers. Amazon workers use handheld devices to scan packages, which track and evaluate performance.
Employees are paid at a rate calculated based on how fast they are expected to work. As employees begin to better meet their obligations and increase their speed of work, the algorithm sets an even faster pace to strive for.
Some professions are already managed by algorithms. For example, Uber’s algorithms plan routes for drivers and transform them from independent workers into components of a larger system. The system not only manages the drivers, but also collects data on their performance, driving skills, and customer satisfaction. It’s a continuous, repeating cycle where algorithms observe a person’s work and analyze the information they receive.
According to Lew Maltby, head of the US National Institute for Labor Law, employers will not miss the chance to obtain more information about workers, and algorithms will allow for improved control.
Monitoring workers brings benefits, according to developers of qatar number data monitoring software and its customers. For example, monitoring should help employees use their working time more efficiently, ensure safety by prohibiting overtime or continuous work for long periods. At the same time, analysis of work quality occurs unnoticed by employees.
But technology can also undermine the current culture of curiosity and micromanagement in companies. By 2040, algorithmic surveillance and data collection will likely become the norm, and it will not be enough to explain them as “good for the company and employees.”
Currently, the work of algorithms is most noticeable in services: car sharing or food delivery. But gradually the technology is reaching established areas: warehouse management, freight transportation and housekeeping services. Hotel employees are increasingly using an application that determines the best order to clean rooms.
Warehouses
One example of powerful algorithmic monitoring in large corporations is Amazon’s fulfillment centers. Amazon workers use handheld devices to scan packages, which track and evaluate performance.
Employees are paid at a rate calculated based on how fast they are expected to work. As employees begin to better meet their obligations and increase their speed of work, the algorithm sets an even faster pace to strive for.