Machine Learning: Architecture in the Age of Artificial Intelligence maps a clear-eyed strategy for a profession on the cusp of fundamental disruption, tracing how AI will shift computers from instruments of data management into active agents of design.
About This Book
The question for architects is no longer whether artificial intelligence will reshape practice, but how quickly and on whose terms. Phil Bernstein structures his argument across three interlocking sections — Process, Relationships, and Results — to give practitioners a working framework for anticipating and managing AI's encroachment on the knowledge work that has long defined the profession. This is not a survey of tools; it is an examination of what machine learning means for professionalism, liability, business models, and the creation and curation of data. Practices seeking to future-proof their position in a rapidly automated industry will find this an indispensable point of orientation.
Key Features
- 200 pages structured across three thematic sections: Process, Relationships, and Results
- Authored by Phil Bernstein, widely recognised as architecture's leading technologist
- Chapters covering professionalism, tools and technologies, law and risk, delivery methods, data strategy, and business models
- Published by RIBA
What You'll Discover
- How machine learning transitions computers from passive instruments into autonomous design agents — and what that means for the architect's role
- The legal, policy, and risk implications of AI-driven design processes that practitioners must begin accounting for now
- How practices can rethink their value propositions and business models in response to emerging AI capabilities
- A framework for creating, consuming, and curating data as a strategic asset within an AI-augmented workflow
About the Author
Phil Bernstein is widely regarded as architecture's foremost technologist, with a career spent examining the intersection of design practice and emerging digital tools. His writing and research have shaped industry conversations around building information modelling, project delivery, and now artificial intelligence.
Specifications
- Format: Softcover
- Pages: 200
- Dimensions: 240 x 167 mm
- Language: English
- ISBN: 9781914124013
- Publisher: RIBA
- Publication Date: [Details available upon request]
Perfect For: Architects and practice directors navigating AI adoption, architectural technologists, built environment academics, and design students preparing for a profession reshaped by machine intelligence.