![]() ![]() Most architects can’t also be expert programmers, statisticians, and data scientists, so the potential has largely remained locked up in our devices-hinted at in exotic solutions, but not part of everyday workflows. It remained more theoretical than practical for decades, largely because the skills for designers to fully take advantage of computational capabilities and data were, until recently, quite rare. The potential of AI for design assistance has existed since the earliest days of CAD in the 1960s. Supporting Design with Many AI Assistants Overall, we see the increased use of AI assistants and data-driven processes as a way to make designers exponentially more productive. Instead, in the vision below we outline how teams of designers and engineers will work with a range of ‘AI assistants’ to define generative product possibility spaces that simultaneously define multitudes of possible design solutions. Manipulating geometry will soon no longer be the primary activity that distinguishes design and engineering from other practices. ![]() We see a near future where today’s quantitative change in computational capabilities powers a qualitative shift in design practice. And as access to data-and our ability to extract knowledge from it-grows, we see opportunities for organizations to rethink design processes at a fundamental level. We have started to tap the enormous opportunity in the data flows and computational capabilities available to us. Incorporating data and artificial intelligence (AI) at every stage of a design process transforms our design tools, and perhaps the very definition of what it means to design and engineer. The age of computational design has finally arrived. ![]()
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