When you purchase through links on our site, we may earn an affiliate commission. This doesn’t affect our editorial independence.
OpenAI and Foxconn have formed a new collaboration, representing a significant leap in the artificial intelligence hardware sector, as announced on November 22, 2025, through a tweet by OpenAI’s co-founder, Greg Brockman. This collaboration prioritises creating tailored AI infrastructure, using Foxconn’s manufacturing expertise to increase the production of bespoke AI chips and servers designed for large language models such as the GPT series. As stated in OpenAI’s official blog regarding the partnership, the effort aims to meet the growing demand for adequate AI computing resources, driven by the rapid expansion of AI usage across various sectors. On the broader industry landscape, this decision coincides with the worldwide AI hardware market forecast to $190 billion by 2025, according to Statista’s 2023 analysis of the AI market.
Using Supply Chain Expertise
Foxconn, recognised for assembling large quantities of electronics for brands such as Apple, applies its knowledge in supply chain management and meticulous manufacturing, which could lower AI hardware production costs by as much as 30 per cent, according to industry standards from McKinsey’s 2024 report concerning semiconductor supply chains. This partnership comes at a crucial moment, given the recent chip shortages that have postponed AI implementations in industries such as healthcare and automotive. OpenAI is aiming to lead the AI infrastructure sector by collaborating with major manufacturing companies.
The specifics involve strategies for constructing AI-focused data centres in Asia, using Foxconn’s facilities in Taiwan and China, which may expedite the deployment of edge AI devices. This corresponds with trends in decentralised computing, which greatly minimises latency.
See Other Posts on this Site
Using AI in Manufacturing: Top Trends, Smart Strategies and Challenges to Know
Highlighting Eco-Friendly Production
Additionally, the collaboration highlights eco-friendly manufacturing approaches, aiming to reduce carbon emissions in AI hardware production by 20 per cent through the use of energy-efficient designs.

Image source: Manufacturing-today.com
Industry analysts see this latest collaboration as a this as a bold statement to rivals such as NVIDIA, whose AI GPUs dominate the market. Combining OpenAI’s software expertise with Foxconn’s hardware capabilities, the partnership may drive advancements in AI robotics and autonomous technologies, ultimately enhancing manufacturing efficiency worldwide.
On the technical side, the partnership explores cutting-edge AI chip architectures that include neuromorphic designs emulating the efficiency of the human brain, which could enhance processing speeds by 40 per cent compared to conventional GPUs.
It is also adopting a new technology that addresses thermal management issues in high-density servers, incorporating solutions such as liquid cooling systems within Foxconn’s production lines, which lowers failure rates by 25 per cent.
Vision and Prospects
The future perspective suggests that this collaboration may lead to advancements in quantum-AI hybrid technologies by 2028, enhancing capabilities in drug development and climate simulation. Issues like supply chain interruptions, highlighted during the 2022 semiconductor crisis, are alleviated by the varied sourcing strategies mentioned in the announcement. Forecasts suggest a 50 per cent rise in AI adoption within manufacturing by 2026, according to the World Economic Forum’s 2024 Future of Jobs Report, with this partnership enabling smooth integration. Ethical guidelines emphasise the importance of data privacy in AI hardware, ensuring compliance with GDPR revisions from 2023 and guaranteeing safe implementations.
The partnership, revealed on November 22, 2025, aims to produce AI-optimised hardware to enhance the scalability of AI infrastructure effectively. It offers affordable AI solutions, creating revenue opportunities across multiple industries, with an expected market expansion to $190 billion by 2025.









