AI in Construction: Strategic Adoption for SMEs

17th October 2025

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Artificial intelligence (AI) is no longer a distant concept. It is actively reshaping how construction firms operate, offering new ways to improve efficiency, safety, and decision-making. For small and medium-sized enterprises (SMEs), this shift presents both a challenge and an opportunity. The question is no longer whether to adopt AI, but how to do so in a way that strengthens your business. Should you specialise to deepen expertise, or diversify to broaden services and client reach?

The Case for Strategic Adoption

As technological capabilities accelerate across the sector, firms that delay adoption risk falling behind more agile competitors. This transformation is not just about automation or cost reduction; it’s about redefining roles, workflows, and the value firms deliver to clients.

Nvidia CEO Jensen Huang’s remark — “You’re not going to lose your job to an AI, but you’re going to lose your job to someone who uses AI” — applies equally to businesses. The competitive threat is not the technology itself, but the firms that learn to use it effectively.

Unlike large multinationals with deep resources and vast data infrastructure, SMEs must be strategic. Whether through focused specialisation or thoughtful diversification, the goal is to adopt AI in ways that align with core strengths and long-term objectives.

From Automation to Site Intelligence

AI is already transforming construction workflows, particularly in scheduling, resource management, and compliance reporting. But its influence now extends well beyond routine tasks. Tools like WENDY AI, developed by Aiforsite, demonstrate how AI can support real-time decision-making and proactive risk management on active construction sites.

WENDY functions as a live digital assistant, integrating data from sensors, cameras, and geolocation systems to monitor site activity. It identifies inefficiencies such as tool downtime or workflow bottlenecks, generates automated safety alerts, and enhances situational awareness through 360-degree video and BIM integration. These capabilities reduce reliance on manual oversight and enable faster, evidence-based responses — moving AI from back-office automation to frontline impact.

Collaboration as a Competitive Strategy

While platforms like WENDY showcase the potential of AI, most SMEs lack the capacity to build proprietary solutions. Collaborative data-sharing initiatives offer a practical alternative. The iSHARE Framework, a European initiative, promotes secure and standardised data exchange across industries, including construction. It allows firms to share information without compromising control, fostering interoperability and trust.

The RICS Digitalisation in Construction Report (2024) highlights the role of shared digital tools in supporting net-zero goals and delivering social value. Similarly, the Whole Life Carbon Data Sharing initiative, led by the UK Green Building Council and BCIS, encourages firms to contribute embodied carbon data to the Built Environment Carbon Database (BECD), enabling benchmarking and supporting decarbonisation efforts.

These collaborative models help SMEs access AI-driven insights that would otherwise be out of reach, turning shared data into a strategic asset and narrowing the gap with larger competitors.

Turning Barriers into Building Blocks

Despite growing interest, AI adoption across the sector remains uneven. A recent RICS survey of its professional membership identified a shortage of skilled personnel as the most significant barrier. While the survey reflects the views of RICS members specifically, it is reasonable to assume that these concerns are echoed more broadly across the construction industry — particularly among SMEs and non-multinational firms facing similar resource constraints.

For these organisations, investing in people is a clear priority. Building digital fluency requires more than ad hoc training; it demands structured education, cross-generational mentoring, and stronger links between industry and academia. These efforts not only equip professionals to work alongside AI but also foster a culture of adaptability and innovation.

System integration is another challenge, with 37% of respondents citing compatibility issues with existing platforms. Many SMEs operate with legacy systems, and wholesale replacement is rarely feasible. Instead, firms should seek modular, interoperable AI solutions that integrate seamlessly with current workflows. Technology vendors must also play their part by offering transparent integration pathways and ongoing support.

Financial concerns persist, particularly around implementation costs and uncertain returns. Pilot programmes, shared platforms, and phased rollouts can help reduce risk while demonstrating tangible value. Access to real-world case studies and peer-led knowledge sharing will be essential in building confidence and guiding investment.

Finally, the lack of standards and governance frameworks continues to slow progress. Industry bodies and regulators must accelerate efforts to establish clear guidelines for responsible AI use in construction. In the meantime, SMEs can take proactive steps by developing internal protocols for data handling, model evaluation, and ethical oversight — laying the foundation for scalable, accountable AI deployment.

A Measured Path Forward

AI offers compelling potential, but adoption must be grounded in strategy, capability, and context. For SMEs, success lies not in chasing every innovation, but in choosing the right tools, building the right skills, and collaborating where it counts.

Whether you’re ready to pilot a new AI tool, attend an SECB event, or join a working group to share insights, the next step is yours to take. This isn’t just about keeping pace with technology — it’s about shaping the future of construction on your own terms.

This article draws on insights shared during the South East Construction Breakfast (7 October 2025), panel discussion with Poorang Piroozfar (Academic and Programme Lead, School of Architectural Technology and Engineering), James Tourney Godfey (Managing Director, Turner Godfrey), and Vassos Chrysostomou (COO, Aiforsite UK and Lecturer, University of Westminster), alongside reflections from the BBC Radio 4 Today Programme broadcast on 13–14 October 2025.

References

Aiforsite (2025) WENDY AI: Intelligent Assistant for Construction Sites. Available at: https://aiforsite.com  (Accessed: 14 October 2025).

BCIS and UK Green Building Council (2024) Built Environment Carbon Database (BECD). Available at: https://www.becd.co.uk  (Accessed: 14 October 2025).

iSHARE (2025) iSHARE Framework Overview. Available at: https://www.ishareworks.org  (Accessed: 14 October 2025).

RICS (2024) Digitalisation in Construction Report. Royal Institution of Chartered Surveyors. Available at: https://www.rics.org  (Accessed: 14 October 2025).

RICS (2025) AI Adoption Survey Results. Royal Institution of Chartered Surveyors. Summary shared during South East Construction Breakfast panel, 13 October.

BBC Radio 4 (2025) Today Programme. Broadcast dates: 13–14 October 2025.