A year in construction & engineering: On the brink of AI adoption
Summary
The article discusses the construction industry's slow adoption of AI technologies and highlights the potential benefits that could be missed if this trend continues.
Why It Matters
As the construction sector faces increasing pressures for efficiency and profitability, understanding AI's role in digital transformation is crucial. The insights provided can help industry leaders make informed decisions about integrating AI into their operations, potentially leading to significant advancements in productivity and project management.
Key Takeaways
- The construction industry is on the brink of significant AI adoption, with 91% of firms planning to increase AI investment by 2026.
- Modern ERP systems are becoming essential for scaling AI capabilities across construction and engineering companies.
- AI can enhance data analysis, providing more accurate information that benefits all levels of the organization.
Home Digital Construction News Construction Technology News A year in construction & engineering: On the brink of AI adoption Kenny Ingram, VP of C&E and Chris Knight, global industry director, C&E, IFS explore why the construction industry is yet to embrace AI adoption- and the benefits it could be missing out on While most industries are undergoing more rapid transformation – driven by the accelerating adoption of technologies like Industrial AI, automation, and connected data – the construction and engineering industry is often characterised by a resistant approach to technological change. But the tipping point has been reached, especially as asset-intensive sectors are opening their eyes to the potential of AI to make operations smarter, more efficient, and more effective. The sector is standing on the brink of a once-in-a-generation innovation shift. Construction & engineering as a whole has been through a fundamental reshaping of how companies address long-standing challenges around profitability, productivity, and sustainability—how they respond to global economic pressures, redefine their value propositions, and deliver increasingly complex projects. As a result, the shift from experimentation to enterprise-wide integration is now well underway, with 2026 guaranteed to mark a critical inflection point in AI adoption. But it’s essential for any business leader that is looking to leverage these technologies as essential components of larger digital transformation pro...