India’s automotive industry missed its FY26 vehicle recycling targets by 70%, with formal facilities struggling against informal competition. Tata Motors and Mahindra & Mahindra are now advocating for AI-led digitization to reduce bureaucratic hurdles and improve compliance, as recent regulatory changes mandate stricter recycling standards for automakers.
India's attempt to modernize vehicle recycling has hit a major roadblock. Industry data reveals that the country missed its FY26 scrappage targets by approximately 70%, with only 2.42 lakh vehicles recycled against an ambitious goal of 7.62 lakh. This shortfall has forced major Original Equipment Manufacturers (OEMs), including Tata Motors and Mahindra & Mahindra, to rethink their strategy for their underutilized Registered Vehicle Scrapping Facilities (RVSFs).
The struggle is partly rooted in a March 2026 regulatory amendment to the End-of-Life Vehicle (ELV) Rules. This change tightened Extended Producer Responsibility (EPR) compliance by excluding general steel scrap from certification. Previously, companies could rely on various steel sources to meet their recycling obligations, but the new rules mandate that only steel derived directly from scrapped vehicles counts toward compliance. This has increased the pressure on automakers to find and dismantle more cars, yet the current system remains difficult for the average vehicle owner to navigate.
Industry leaders argue that the formal system is losing to informal, neighborhood scrap yards. These unregulated operators often bypass the rigid documentation required by government channels, offering a level of convenience and speed that the formal sector cannot currently match. For a vehicle owner, the formal process of deregistration and title transfer involves significant paperwork and time, creating a 'convenience deficit' that drives them back to the black market.
To bridge this gap, automakers are pushing for an artificial intelligence backbone to act as a digital bridge between vehicle owners and recycling centers. By using AI to automate the digitizing of government registry interactions, companies hope to remove the documentation friction that keeps owners away. Furthermore, on-site AI vision systems are being proposed to categorize scrap more efficiently, allowing facilities to better separate valuable materials. This operational improvement is necessary because the current low volume of vehicle inflows is straining the financial viability of the heavy investments made in these recycling plants.
For investors, the situation highlights a critical operational risk. Companies have poured capital into these recycling facilities expecting a steady stream of end-of-life vehicles. When those volumes remain low, the return on these investments remains pressurized. The government has already urged automakers to offer stronger incentives, such as increasing purchase discounts to 5% to lure owners, but the effectiveness of these measures remains tied to how quickly the paperwork process can be simplified.
The next important developments to watch will be whether the government responds to these demands for digital integration and if automakers can successfully scale their recycling volumes despite the tightening of EPR norms. Investors may track these developments as they impact long-term operational costs and the ability of OEMs to meet mandatory environmental targets.