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Construction CIOs Modernize Field and Office to Compete

||By LDS Team
4.0
Relevance Score
Construction CIOs Modernize Field and Office to Compete
Photo: enr.com · rights & takedowns

Engineering News-Record published a July 2, 2026 viewpoint arguing construction chief information officers must modernize both jobsite and back-office systems as the global construction industry heads toward a projected $22 trillion in output by 2040, a McKinsey figure cited in the piece. The column's author, John Hilborn, leads the engineering-construction-operations Center of Excellence at Syntax, an SAP-focused IT vendor, and lays out six modernization priorities, including unifying siloed project data, upgrading legacy platforms, equipping field crews with mobile tools, and applying AI to narrow, defined use cases like change-order management and schedule optimization rather than broad experimentation. For construction technology buyers, the piece functions as vendor thought leadership rather than independent reporting, since Syntax sells the SAP-based modernization tools it recommends.

For practitioners building industry-specific AI tools, this column is a useful data point on how AI gets positioned inside a traditionally low-tech, capital-intensive sector: as one narrowly scoped modernization priority among several, justified by a defined business case rather than pursued for its own sake.

What happened

Engineering News-Record (ENR) published a July 2, 2026 opinion column by John Hilborn, global engineering-construction-operations Center of Excellence leader at Syntax, an SAP-focused IT vendor, arguing construction CIOs must modernize both jobsite and back-office systems to keep pace with an industry McKinsey projects will reach $22 trillion in output by 2040. The column lists six priorities: unifying data across finance, procurement, and field systems; modernizing core ERP platforms; equipping field teams with mobile-first tools; strengthening workforce management systems; applying AI to narrow, high-value use cases such as change-order management, schedule optimization, and inspection analysis; and building organizational change-management capacity.

Background

Syntax sells cloud ERP and construction-toolkit products built on SAP, and Hilborn's piece runs in ENR's recurring vendor-authored "Viewpoint" opinion section rather than as independent news reporting; a similar genre of column has appeared in ENR before. Readers should weigh the recommendations as vendor perspective rather than neutral analysis.

For practitioners

The column's most concrete guidance is to scope AI narrowly: target measurable use cases such as change orders, scheduling, risk prediction, and inspection review, rather than deploying AI without a defined outcome, since "adopting AI without a clear business case can create more complexity than benefit."

Key Points

  • 1Construction industry output is projected to reach $22 trillion by 2040, per McKinsey, driving pressure on CIOs to modernize aging IT systems.
  • 2The ENR column's author leads a Center of Excellence at Syntax, an SAP-focused construction IT vendor, making this vendor-authored thought leadership, not independent reporting.
  • 3AI appears as one of six modernization priorities, recommended only for targeted use cases with a clear, measurable business case.

Scoring Rationale

Vendor-authored ENR Viewpoint column (author leads a Center of Excellence at SAP-focused vendor Syntax); AI is one of six modernization themes rather than the central subject, and the piece is single-sourced opinion/thought-leadership rather than independent reporting. Kept at the visibility floor given genuine but modest relevance to AI/DS/ML practitioners in a vertical industry.

Sources

Public references used for this report.

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