Deerns helps semiconductor clients create resilient, high-performance fabrication environments built for precision, flexibility, scalability and long-term reliability.
Semiconductor manufacturing has always been demanding, but artificial intelligence (AI) is accelerating change and raising technical requirements. Although most chips manufactured to date are not AI chips, AI applications are driving the industry’s most advanced investments, reshaping fabrication facility (fab) design, cleanroom commissioning and supporting infrastructure.
As demand for advanced computing grows, cleanrooms are becoming more complex, more sensitive and more central to yield, flexibility and long-term performance.
Cleanrooms are becoming ecosystems
One of the most important shifts is that cleanrooms can no longer be treated as passive containers for process equipment. They are becoming ecosystems in which architecture, airflow, process utilities, safety systems, logistics and commissioning must work together at a much higher level of precision.
Higher precision is changing the design brief
In semiconductor manufacturing, yield is the key measure. A defect found late can waste significant time, materials and value. That is why environmental control matters: carefully managing particles, vibration and temperature supports both production efficiency and business performance.
As chip geometries shrink, with device components being stacked (2.5D and 3D devices) and processes becoming more sensitive, the tolerance for environmental variation continues to narrow. In parallel, advanced manufacturing is introducing new substrate materials and alternative substrate formats, including non‑traditional shapes and sizes, adding further constraints to thermal stability, vibration control and equipment integration. Temperature stability, vibration control and contamination prevention all become more critical because even the tiniest disturbances can affect process consistency, overlay accuracy and, ultimately, yield.
This raises the design bar in 3 important ways:
- stronger vibration mitigation for increasingly sensitive equipment
- stricter contamination control throughout the manufacturing chain
- tighter thermal stability across highly controlled environments
Flexible Infrastructure matters more than ever
The increasing complexity of AI-related chip production also affects the infrastructure feeding the cleanroom. New materials, process gases and liquids are entering the manufacturing environment, often with different safety, handling and reliability requirements. Utility systems must therefore do more than serve today’s process needs. They must also be robust enough to support change.
Future readiness is one of the biggest challenges facing clients. Although future materials, gases and tools are not always known, facilities must be designed with enough flexibility to accommodate change without major rebuilding. Flexibility is now about creating an engineering framework that can absorb future changes in equipment, utilities, logistics and process requirements with minimal disruption.
Smaller zones, smarter performance
Another major shift is the move away from one large cleanroom serving all functions equally. Many advanced facilities are now being divided into smaller, more controlled zones so environmental conditions can be matched more precisely to the needs of each process or tool set.
This creates 3 main advantages:
- better control where the most sensitive processes take place
- less overdesign in areas with lower demands
- stronger long-term value through more targeted adaptation
This kind of compartmentalisation also changes airflow strategy. Downflow, extraction and recirculation all need to be considered in a more granular way. Done well, this improves control and can also reduce unnecessary energy use and operating cost.
AI is changing the manufacturing model
AI is not only changing how chips are manufactured, but also how the semiconductor value chain is organised. Conventionally, front-end wafer fabrication and back-end assembly, packaging and testing were separated across different facilities and even different regions. For advanced AI chips, however, manufacturers are increasingly integrating these processes within the same high-performance environment.
" As functionality converges within increasingly complex devices, front end and back end processes are being brought together within the same manufacturing environments, eroding the traditional separation between them.
Integrating these stages within one facility improves quality control, reduces transport risks and contamination exposure, shortens production timelines and supports faster innovation cycles. It can also deliver significant cost and sustainability benefits by reducing logistics, energy use and duplication across multiple sites.
Furthermore, the growing integration of optical and photonic components in AI devices is elevating the importance of photonics across the semiconductor ecosystem. While Europe may not match Asia or the United States in large scale semiconductor manufacturing, it plays an important and leading role in advanced research in photonics.
" Advanced R&D facilities, pilot environments and photonics cleanrooms require alignment of performance, flexibility and specialist knowledge that now defines the next generation of semiconductor projects.
Engineering the next generation of fabs
AI is accelerating semiconductor innovation, but it is also exposing the limits of conventional cleanroom thinking. Advanced manufacturing environments now need tighter control, greater flexibility and a much closer relationship between process requirements and building performance.
For Deerns, this is where specialist value is created: helping clients turn fast moving technological change into facilities that perform reliably and cost effectively, adapt intelligently, and support long term yield, resilience and return on investment.
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