The article discusses how artificial intelligence (AI) is poised to transform the textile recycling industry by 2024. It highlights the challenges faced by the industry, such as the complexity of sorting and separating different materials in textile waste. However, AI-powered solutions are emerging that can accurately identify and classify textile compositions, enabling more efficient recycling processes. The article cites a report by Lux Research, which predicts that AI-driven textile recycling could unlock a $4.5 billion market opportunity by 2030. Key points include: 1) AI can analyze the chemical composition of textiles through techniques like hyperspectral imaging and machine learning algorithms. 2) This technology can sort textile waste more accurately than human workers, reducing contamination and increasing recycling rates. 3) Major brands like Nike and Adidas are investing in AI-based textile recycling solutions to meet sustainability goals. 4) Challenges remain, such as scaling up AI systems and ensuring data quality for training models. Overall, the article portrays AI as a game-changer for the textile recycling industry, enabling more sustainable practices and unlocking economic opportunities.