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Practical guides on construction, AI, data centers and real estate, written by the team behind The Punch List.
13 articles
PILLAR GUIDE
Most construction AI today is administrative and document-heavy, and most firms are still in pilots. Here is what is deployed, what is marketed, and how to read the conflicting adoption numbers.
Read the article ↗AI in AEC
Language models are useful for drafting and summarizing construction documents when you give them the source text. They are unreliable when asked to cite specs and codes from memory.
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AI agents are shipping in construction for RFIs, submittals and schedules, but coordinated multi-agent systems are still mostly a roadmap. Here is what is real, what is marketing, and what to ask vendors.
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The premise that large GCs lag small contractors on AI is thinly supported. Surveys point to integration, security, cost and skills, and the gap shows up in moving pilots to production.
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Generative AI in design is concentrated in early concepts and rendering, while optioneering is the use RICS expects to matter most. Here is what is documented, what is not, and who stays accountable.
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Construction project data is scattered across PDFs, paper and disconnected tools, and that is a large part of why AI is hard to deploy. Here is what the numbers say and what firms can do about it.
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Progress tracking from 360 cameras is established, PPE detection is common in research, and independent accuracy benchmarks are missing. Here is what is deployed and where it breaks.
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Survey savings claims are self-reported and mostly vendor-sponsored, so firms need their own numbers. This framework covers baselines, metrics and pilot design.
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No construction-specific incident data exists in the sources we found, so the closest evidence comes from legal AI. Firms manage the risk with human verification checklists.
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Schedule optioneering and schedule risk forecasting are different jobs, and the savings figures for both come from vendors. Neither replaces a scheduler's logic and judgment.
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Cameras and computer vision can flag missing PPE and unsafe conditions. Detecting presence is not proof of correct use, and no evidence found links these tools to fewer injuries.
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AI is documented as faster at quantity takeoff. Evidence that it improves estimate accuracy is thin, and scope, pricing and constructability still sit with the estimator.
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AI bid leveling tools read subcontractor proposals and build comparison matrices, but the category is new, vendor-driven and unbenchmarked. Estimators still own scope judgment.
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