In the USA, the Ministry of Government Productivity (DOGE) is undergoing a radical transformation process under the leadership of Elon Musk. It is known that Musk wants to dismiss a large number of civil servants in order to reduce state expenditures. However, Musk, who is not content with this, plans to commission an artificial intelligence -based system instead of this workforce.
During the reign of former US President Joe Biden, an artificial intelligence software was developed to follow and organize the purchasing of the state in the USA. However, Biden management chose to keep the project only in the development phase, thinking that this system is not yet safe and that it would be risky to use it in its current form. Elon Musk is preparing to realize the artificial intelligence algorithm named GSAi by bringing this project to the agenda again.
GSAi was designed to replace 1,500 civil servants responsible for the purchasing of the state. After the artificial intelligence algorithm maturated sufficiently, Musk points out that he can dismiss tens of thousands of employees by increasing this number by thousands of times. GSAi aims to choose more affordable products during purchasing, to eliminate the intermediary commissions and to create a fair system.
Is everything possible with artificial intelligence?
GSAi will not be limited to purchasing transactions. This artificial intelligence, which is said to have a system similar to Chatgpt, can prepare e-mail drafts, write code and perform many other office tasks as a Chatbot that responds to users’ commands. It shows that these abilities have a structure that can automate many of an ordinary civil servant’s desk. However, this can put millions of US state employees on Musk’s “dismissed” list.
The spread of artificial intelligence -based systems, especially in the public sector, creates great debate. Although technologically exciting, the execution of such systems without human control can pave the way for wrong decisions and mistakes. How will Musk’s experiment affect public sector employees and will this transformation really provide efficiency? For now, the answer to these questions is unclear.
