Nike and Zellerfeld launch next-gen 3D-printed Airmax 1000.2 footwear

Nike and Zellerfeld have released the Airmax 1000.2, the latest iteration of their 3D-printed footwear collaboration. The shoe, unveiled in May 2026, is produced using Zellerfeld's proprietary polymer powder bed fusion process, which enables fully printed, assembly-free uppers and midsoles. The Airmax 1000.2 is available in a black colorway through Zellerfeld's direct-to-consumer platform, continuing the partnership's model of on-demand, digitally native manufacturing. No specific production volume or pricing details were disclosed, but the release signals an expansion of the co-branded line first introduced in 2024.

For Zellerfeld, this partnership represents a critical validation of its platform-based AM model for consumer footwear. Unlike traditional athletic shoe manufacturing, which relies on injection molding and global supply chains, Zellerfeld's process eliminates tooling and assembly steps, enabling rapid design iteration and on-demand production. This aligns with the consumer-electronics vertical's fast qualification cycles, where speed to market and customization are valued over aerospace-grade certification. The Airmax 1000.2 also demonstrates Zellerfeld's ability to scale from niche sneakerhead drops toward a broader athletic footwear market, directly competing with Adidas's Futurecraft line and New Balance's TripleCell program. The key open question remains whether Zellerfeld's polymer PBF process can achieve the durability and performance consistency required for high-mileage athletic use, not just lifestyle wear.

Zellerfeld must now prove that its platform can handle higher production volumes without sacrificing part quality or lead time. For buyers, the Airmax 1000.2 is a compelling proof point for digitally native footwear, but the real test will be whether the shoe holds up under daily wear and whether Nike expands the partnership beyond limited drops. The company's next step is to secure a larger manufacturing footprint and demonstrate repeatable output at scale.