Artificial Intelligence in Construction: Building a Sustainable Future

Who this book is for

• Curious readers who want a grounded view of Artificial Intelligence in Construction 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 sites, crews, and delays decide before they trust the louder claims.
• Readers looking for sharper judgement on the less glamorous but more useful part is site ops, safety, and delays rather than recycled buzzwords.

Key themes

• Construction
• Artificial Intelligence
• AI Trends

What you’ll learn

• Where AI is already being used in construction today — and where sites, crews, and delays decide.
• The less glamorous but more useful part is site ops, safety, and delays.
• 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 Construction, without wading through technical theatre.

Deeper overview

Artificial intelligence optimizes construction with project planning, safety monitoring, and sustainable design, reducing costs. It looks at where AI is already earning its keep in Construction, where the claims run ahead of the evidence, and what sensible adoption actually looks like.

Why this title is useful in practice

In practice, Artificial Intelligence in Construction: Building a Sustainable Future 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 Construction 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 sites, crews, and delays decide., 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.

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

What makes this title distinct

Artificial Intelligence in Construction: Building a Sustainable Future keeps its boots on the ground, looking at workflow, failure modes, and whether the gains survive contact with real operations in construction.

Construction 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.