Translated with AI
Artificial intelligence is increasingly moving from experimental projects to widespread application across various fields, according to the second edition of a report prepared by the International Telecommunication Union (ITU) jointly with Deloitte, according to the UN press service.
The paper notes that public attention has focused primarily on generative models that create text, images, and software code. However, more profound changes are occurring in the field of autonomous AI agents capable of planning tasks, making decisions, and coordinating actions with minimal human intervention. Such systems are already being used in healthcare, logistics, finance, and public administration, integrating into workflows and interacting with each other. The authors emphasize that as AI becomes more autonomous, the need for carefully considered human oversight increases.
The report states that AI is already demonstrating tangible results in key sectors. In education, adaptive systems personalize learning materials, and digital tools expand access to education in regions with teacher shortages. In medicine, technologies help detect diseases at early stages, improve diagnostic accuracy, accelerate drug development, and improve access to services in remote areas.
In climate and ecology, AI is used to monitor environmental changes, optimize energy systems, and warn of extreme weather events. In urban management, technologies facilitate the optimization of transportation systems, emergency response, and the modeling of infrastructure solutions. In agriculture, precise digital tools improve resource efficiency and help adapt to climate instability and market uncertainty.
As opportunities expand, so do the risks. According to the World Economic Forum, by 2030, the transformation could affect approximately 91 million existing jobs, while 170 million new ones could be created, resulting in a net gain of 79 million jobs. Moreover, nearly 40% of key skills are expected to change, placing additional strain on education systems and the labor market.
The environmental burden is also increasing. In 2024, data centers consumed approximately 1.5% of global electricity production, and this figure could double by 2030. A single large data center can consume the same amount of energy as 100,000 households, highlighting the importance of infrastructure sustainability.
The report's authors note that regulatory institutions must evolve in sync with technological change. Many governments are striving for digital sovereignty by investing in their own computing power and technological components. New initiatives view AI as a strategic resource comparable in importance to energy systems, and decisions regarding its development are becoming a matter of public policy.
