Currently, it has emerged that there is no cost-effective method to replace human labor with artificial intelligence when it comes to innovations. Researchers from the Massachusetts Institute of Technology (MIT) have come to this conclusion through research aimed at clarifying concerns that artificial intelligence will rapidly replace humans in many sectors.
One of the first in-depth studies on the possibility of replacing human labor with artificial intelligence models was conducted by MIT. Artificial intelligence directs attention towards the use of computer technologies to replace humans. It has been revealed that only 23% of professions can be effectively replaced by artificial intelligence. While the difference in costs between providing wages and implementing relevant technologies in the production process remains quite high for many companies. Thus, utilizing humans still appears to be more cost-effective.
In the past year, the acceptance of artificial intelligence has squeezed the human labor factor in all sectors. This is evidenced by the emergence of tools such as OpenAI's ChatGPT chatbot and similar technologies that demonstrate their potential. Technology companies around the world are deploying their artificial intelligence tools and announcing plans to accelerate this development. All of this increases concerns that the widespread adoption of technology will lead to the loss of jobs in major companies. This puts human labor in constant confrontation with artificial intelligence tools.
According to researchers' reports, currently less than a quarter of humans can be fully replaced by computer systems, even with the emergence of large language models. This is because it is not economically viable. Remember, computer vision systems allow meaningful information to be extracted from images and other visual data. The most demanding of these types of artificial intelligence systems come at high costs. According to researchers, currently only 3% of 1,000 tasks across 800 professions can be automated with computer vision artificial intelligence systems. However, it is expected that this figure will rise to 40% by 2030. Nevertheless, as time goes on, data usage costs will decrease and the accuracy of artificial intelligence systems will increase. Thus, the danger expected in the near future is considerably less than what we imagine.