Artificial Intelligence in Waste Management in the Context of Implementing Circular Economy

The depth of the ecological crisis raises the issue of implementing innovative solutions and technologies in waste management that align with the principles of the circular economy. This research explores the advantages of using artificial intelligence (AI) in waste management systems in Ukraine. The study employs methods of systems analysis, formalization, abstract and logical analysis, in addition to the linear trend method. A comparative analysis of waste management in Ukraine and EU countries was conducted. It was found that the waste generation level in Ukraine is 11.1 tons per person per year, compared to 4.8 tons in the EU. Only 8.24% of waste in Ukraine is sent for recycling, while this figure reaches 49.6% in the EU. The analysis revealed that insufficient infrastructure, poor-quality legislation, and the destruction caused by the war significantly affect waste management practices in Ukraine. An exhaustive review of current startups and technological solutions in waste management utilizing AI was conducted. The findings show that the implementation of AI in waste management can increase recycling rates by 20-30% and reduce operational costs by 10-15%. It is projected that by 2033, the global AI market for waste management will reach USD 18.2 billion, demonstrating an annual growth rate of 27.5%. The study concludes that applying AI in waste management in Ukraine could significantly reduce waste incineration and increase recycling rates to 70% by 2030, aligning with the goals of the National Waste Management Strategy.