Construction is a $13 trillion industry that has barely improved labor productivity in forty years,…
construction is a $13 trillion industry that has barely improved labor productivity in forty years, and 2026 is the first year that changed: ai adoption doubled since 2024, 38% of contractors now report measurable business impact, and togal’s floor-plan takeoffs hit 98% accuracy at five times manual speed. turner construction built a safety coach on openai’s stack from its own incident database.
the industry that moves the slowest is about to move the fastest.
Context
McKinsey (Aug 9, 2024) puts global construction spending at $13 trillion in 2023, projected to reach $22 trillion by 2040. Civil Engineering AI (Jun 19, 2026) reports 38 percent of contractors saying AI has measurable impact, more than double last year's 17 percent.
Turner Construction (May 4, 2026) made its AI-powered field safety tool SafeT Coach available industrywide at no cost; Togal says its takeoff tool delivers up to 98 percent accuracy on floor plans.
The $13 trillion figure is McKinsey's 2023 spending number, which it ties to a productivity problem, and the 38 percent doubled from 17 percent matches the June report, so 'adoption doubled since 2024' is closer to 'measurable impact doubled since 2025'. Togal states up to 98 percent accuracy and up to 80 percent faster takeoffs, not five times manual speed; the five times claim and that Turner's tool is built on OpenAI's stack from its incident database were not seen in the sources read, so unsupported here, not refuted. in the excerpts read. 'About to move the fastest' is the author's.
Related work
Watch next
- Find the source for Togal's five times speed claim and the OpenAI basis for SafeT Coach.
Sources
- McKinsey: delivering on construction productivity is no longer optionalmckinsey.com
- Civil Engineering AI: 38% of contractors report measurable impactcivilengineering.ai
- Turner Construction: SafeT Coach available to the industryturnerconstruction.com
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 1 October 2026 at 20:48 IST. Sources are the papers and datasets the note draws on.
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