The architectural industry stands at a pivotal moment in how firms approach material selection. While the fundamentals of good design remain constant, several powerful forces are transforming how firms evaluate, select, and specify materials for their projects.
Here are three key trends that are reshaping material selection practices across the industry.
Traditional architectural practices often relied heavily on the accumulated knowledge of senior team members, creating vulnerability when experienced staff retired or changed firms. Today, we're seeing a fundamental shift toward democratized material expertise, where digital platforms can enable firms to capture and share collective knowledge across their entire organization.
This transformation isn't just about preserving information – it's about making every team member more effective. New digital tools allow firms to create living libraries that combine technical specifications with real-world project feedback, installation experiences, and performance data. When a junior architect needs to specify a rainscreen system for a challenging coastal environment, they can instantly access not just product data but their firm's accumulated wisdom about similar applications.
The industry is moving away from prescriptive material specifications toward performance-based selection criteria. This shift reflects both increasing project complexity and growing pressure to optimize for multiple variables simultaneously – from embodied carbon to regional sourcing requirements.
Rather than starting with specific products, firms are increasingly defining performance criteria first:
This approach demands more sophisticated tools for material evaluation. Traditional spreadsheets and product catalogs can't effectively compare options across multiple performance dimensions. As a result, firms are adopting platforms that enable side-by-side analysis of technical specifications, sustainability metrics, and cost implications.
Perhaps the most transformative trend is the emergence of AI-powered tools for material discovery and selection. While artificial intelligence won't replace architectural judgment, it's becoming an invaluable partner in navigating the vast landscape of available materials.
The latest AI systems can understand nuanced requirements expressed in natural language – "high-performance glazing that maximizes daylight while controlling heat gain" – and suggest solutions that balance competing priorities. These tools can also learn from a firm's previous specifications and project history to make increasingly relevant recommendations.
This capability is particularly valuable when firms need to:
Traditional architectural practices often relied heavily on the accumulated knowledge of senior team members, creating vulnerability when experienced staff retired or changed firms. Today, we're seeing a fundamental shift toward democratized material expertise, where digital platforms can enable firms to capture and share collective knowledge across their entire organization.
This transformation isn't just about preserving information – it's about making every team member more effective. New digital tools allow firms to create living libraries that combine technical specifications with real-world project feedback, installation experiences, and performance data. When a junior architect needs to specify a rainscreen system for a challenging coastal environment, they can instantly access not just product data but their firm's accumulated wisdom about similar applications.
The industry is moving away from prescriptive material specifications toward performance-based selection criteria. This shift reflects both increasing project complexity and growing pressure to optimize for multiple variables simultaneously – from embodied carbon to regional sourcing requirements.
Rather than starting with specific products, firms are increasingly defining performance criteria first:
This approach demands more sophisticated tools for material evaluation. Traditional spreadsheets and product catalogs can't effectively compare options across multiple performance dimensions. As a result, firms are adopting platforms that enable side-by-side analysis of technical specifications, sustainability metrics, and cost implications.
Perhaps the most transformative trend is the emergence of AI-powered tools for material discovery and selection. While artificial intelligence won't replace architectural judgment, it's becoming an invaluable partner in navigating the vast landscape of available materials.
The latest AI systems can understand nuanced requirements expressed in natural language – "high-performance glazing that maximizes daylight while controlling heat gain" – and suggest solutions that balance competing priorities. These tools can also learn from a firm's previous specifications and project history to make increasingly relevant recommendations.
This capability is particularly valuable when firms need to:
The Material Hub's Firm Library transforms how practices capture and share their collective material expertise. Each product entry includes not just technical specifications, but a detailed history of project applications, stakeholder feedback about real-world performance, and valuable lessons learned during installation and maintenance. This ensures that whether team members are working remotely or just starting their careers, they have instant access to the firm's accumulated wisdom and proven solutions.
Through integration with Acelab's comprehensive technical database, the platform provides detailed performance data for over 100,000 building materials. Teams can evaluate options across multiple criteria simultaneously – from aesthetic details and dimensional profiles to environmental impact metrics and regional availability. The platform's powerful comparison tools allow architects to line up specifications, certifications, and technical documentation in customized views that can be shared with the entire project team.
The Material Hub's AI capabilities transform how architects search for and evaluate materials. The system combines visual understanding with natural language processing, allowing architects to describe what they need in their own words. Whether searching for "sustainable cladding options suitable for coastal environments" or "high-performance glazing that maximizes daylight," the AI engages in an intelligent dialogue to refine requirements and suggest optimal solutions. As architects interact with the platform, it learns from their decisions and preferences, becoming increasingly adept at matching products to specific project needs.
Perhaps most importantly, the Material Hub doesn't just help firms find materials – it seamlessly integrates discovery and decision-making into the project workflow. Teams can instantly load proven standards into new projects, create clear roadmaps for material decisions through SpecPlanner, and automatically generate project schedules. As selections are finalized, new experiences and insights feed back into the firm's library, creating a continuous cycle of knowledge enhancement.
By addressing these key trends through a comprehensive, integrated platform, Acelab is helping firms transform how they manage and leverage their material expertise. The result is not just better material choices, but more efficient teams, more consistent specifications, and ultimately, better-performing buildings.
These trends point toward a future where material selection becomes more systematic, collaborative, and data-driven – while still leaving room for creativity and innovation. As firms embrace these changes, we're likely to see:
Greater emphasis on capturing and sharing material knowledge across organizationsThe firms that thrive will be those that successfully balance the preservation of institutional knowledge with openness to innovation, leveraging new tools and approaches while maintaining their unique design perspective.
As the industry continues to evolve, one thing remains clear: material selection is no longer just about choosing products – it's about creating systems that enable better decisions at every level of the organization. The result is not just better buildings, but a more resilient and capable profession.
As co-founder of Acelab, Vardhan brings deep architectural expertise from designing U.S. embassies and institutional projects to his mission of transforming how the industry makes material decisions. His vision for a universal language in material selection, developed while at Harvard GSD, has earned Acelab recognition on Forbes' 30 Under 30 2025.
As Executive Chairman of Acelab, Dave brings over three decades of expertise in scaling industry-changing software companies, most notably as CEO of Revit Technology through its landmark acquisition by Autodesk. His vision for transforming how millions of design professionals approach product research and specification builds on his track record of successful leadership.