Quick facts
- Topic: Construction
- Tags: Construction, Artificial Intelligence, AI Trends
- Length: 345 pages
- Best for: A clear, no-hype briefing on AI in smart buildings for developers, site managers, architects, and readers tracking the built environment.
How AI is reshaping construction
It maps the practical applications, the operational pinch points, the decision workflows, and the reliability questions that appear when AI moves from demo to deployment in smart buildings.
From day-to-day work in construction to gains, failure modes, and trade-offs.
- ► Where AI is already being used in construction today — and where sensors meet maintenance budgets.
- ► The less glamorous but more useful part is building ops, costs, and comfort.
- ► Key themes including planning, site safety, computer vision, digital twins.
Built for people who care whether AI in construction survives contact with the workflow rather than just the keynote.
Who this book is for
- Curious readers who want a grounded view of Smart Buildings without the applause soundtrack.
- Operators, managers, and curious readers who want to know whether AI in construction improves the workflow or just adds another dashboard to ignore.
- Anyone who wants clear context on where AI is already being used in construction today — and where sensors meet maintenance budgets before they trust the louder claims.
- Readers looking for sharper judgement on the less glamorous but more useful part is building ops, costs, and comfort rather than recycled buzzwords.
Key themes
- Construction
- Artificial Intelligence
- AI Trends
ConstructionArtificial IntelligenceAI Trends
What you’ll learn
- Where AI is already being used in construction today — and where sensors meet maintenance budgets.
- The less glamorous but more useful part is building ops, costs, and comfort.
- Key themes including planning, site safety, computer vision, digital twins.
- The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Audience fit
Written for developers, site managers, architects, and readers tracking the built environment who need a clearer read on what AI can and cannot do in smart buildings, without wading through technical theatre.
Deeper overview
A guide to AI in smart buildings — automated energy management, predictive maintenance, occupant comfort systems, and how intelligent infrastructure reduces costs and carbon. It looks at where AI is already earning its keep in smart buildings, where the claims run ahead of the evidence, and what sensible adoption actually looks like.
Why this title is useful in practice
In practice, Smart Buildings: AI-Powered Efficiency and Sustainability is most useful when the real issue is the point where promised efficiency in construction meets maintenance logs, handovers, and failure modes. It is written for a clear, no-hype briefing on AI in smart buildings for developers, site managers, architects, and readers tracking the built environment, and it tackles questions such as where AI is already being used in construction today — and where sensors meet maintenance budgets., which makes it more useful than a generic explainer when someone has to decide what happens next in an actual workflow, classroom, policy setting, or team.
Problem framing: where this topic gets messy
Construction is where efficiency claims meet maintenance logs, handovers, failure modes, and people who still have to run the place. This title looks at what AI is actually changing in construction, which gains are solid, and where the shiny promise falls apart under operational pressure. It keeps coming back to where AI is already being used in construction today — and where sensors meet maintenance budgets.
Practical outcomes
You should finish it with a clearer feel for where AI in construction improves the workflow, where it adds fragility, and what to pilot before anyone starts chest-thumping.
- Understand why construction matters now and what the evidence actually says.
- Assess whether construction is applicable to your context before committing resources.
- Ask the right governance and implementation questions before adoption decisions become expensive.
Chapter-level signals
Where AI is already being used in construction today — and where
Where AI is already being used in construction today — and where sensors meet maintenance budgets.
The less glamorous but more useful part is building ops, costs
The less glamorous but more useful part is building ops, costs, and comfort.
Key themes including planning, site safety, computer vision, dig
Key themes including planning, site safety, computer vision, digital twins.
What makes this title distinct
Smart Buildings: AI-Powered Efficiency and Sustainability keeps its boots on the ground, looking at workflow, failure modes, and whether the gains survive contact with real operations in construction.
Smart buildings is one of those areas where AI can help, but only if the claims survive contact with cost, safety, scheduling, and energy use. That is where this book keeps its attention.
FAQ
What does this book explain about AI in construction?
Where AI is already being used in construction today — and where sensors meet maintenance budgets.
Who gets the most value from this construction guide?
A clear, no-hype briefing on AI in smart buildings for developers, site managers, architects, and readers tracking the built environment.
How detailed is the coverage?
It runs to 345 pages and focuses on It maps the practical applications, the operational pinch points, the decision workflows, and the reliability questions that appear when AI moves from demo to deployment in smart buildings.
Where can I get the eBook?
Available as an eBook via Amazon using the buy link on this page.
Keep exploring the Jonathan Harris AI library
Use the links below to carry on browsing the wider catalogue, the glossary, comparisons, podcast coverage, or a related guide.