AI could automate more than a third of construction work: McKinsey

{
  "signal_id": "036bbb86-bb50-aee5-3abe-8c28131105ad",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-07-22T17:20:00+00:00",
  "company": {
    "name": "McKinsey",
    "domain": "mckinsey.com"
  },
  "data": {
    "url": "https://www.constructiondive.com/news/ai-report-construction-mckinsey-engineering-build-buy/825927/",
    "title": "AI could automate more than a third of construction work: McKinsey",
    "author": "Matthew Thibault",
    "excerpt": "As artificial intelligence continues to shake up the building industry, choosing how to build versus how to buy solutions is important, said an expert for the consulting firm. Overall, the consulting firm advises builders to use the tech to transform domains, otherwise known as end-to-end processes. These can be redesigned independently due to their small size while delivering meaningful impacts to a business, as opposed to isolated deployments, per the report. “As models become widely available, I think advantage is going to come from those who can redesign their work, their roles, how they operate, how they think about commercial models the fastest,” said Daniel Ahmoye, a partner in McKinsey’s Calgary, Alberta, office, in an interview. Indeed, McKinsey’s research claims that AI has the potential to automate 39% of nonphysical work in the construction sector, per the report. That’s compared to 50% in the architecture and engineering sectors. Altogether, the consulting firm identified 150 workflows across 25 AEC-related domains with differing degrees of potential for AI and automation within the process. In particular, the firm claims that skills such as data entry, invoicing and equipment inspection will see the most change by 2030. McKinsey then divided these automation goals into three time-based phases: With these timeframes in mind, however, it doesn’t mean that certain...",
    "product": "AI in Construction Report",
    "summary": "McKinsey & Company published a report claiming that artificial intelligence has the potential to automate 39% of nonphysical work in the construction sector.",
    "planning": false,
    "image_url": "https://imgproxy.divecdn.com/2wzmTUuiUDu9oWqRP6kJaCNztAtTHzrBauc8dEkGhFU/g:ce/rs:fit:770:435/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0xNDMxODc0ODUxX0t1c2NVN1YuanBn.webp",
    "confidence": 0.9,
    "product_data": {
      "name": "AI in Construction Report",
      "full_text": "McKinsey’s research",
      "fuzzy_match": false,
      "release_type": "report"
    },
    "product_tags": [
      "report",
      "data"
    ],
    "published_at": "2026-07-22T17:20:00Z",
    "article_sentence": "Indeed, McKinsey’s research claims that AI has the potential to automate 39% of nonphysical work in the construction sector, per the report."
  }
}

curl https://signals.autobound.ai/v1/signals/036bbb86-bb50-aee5-3abe-8c28131105ad \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"mckinsey.com","limit":20}'