The property and construction sectors are witnessing a dramatic acceleration in the adoption of artificial intelligence (AI), with a significant portion of firms actively experimenting with the technology. However, new research from the Royal Institution of Chartered Surveyors (RICS) reveals a persistent challenge: the difficulty in transitioning these initial pilot studies into widespread, routine operational practice. This dichotomy between burgeoning interest and practical integration highlights a critical inflection point for the industry, demanding a strategic shift from experimentation to sustained implementation.
Rapid AI Adoption Meets Integration Hurdles
According to the comprehensive "RICS AI in Commercial Property and Construction Report 2026," a substantial majority of industry professionals are now engaging with AI. The report, which garnered over 3,100 responses from a global cohort of industry experts, indicates that approximately two-thirds of construction professionals are utilizing AI in some capacity. This represents a notable increase from just over half of respondents in the previous year, 2025, signaling a clear upward trend in AI awareness and initial engagement.
In the commercial property sector, the adoption rates are even more pronounced. More than three-quarters of professionals in this domain report some level of AI implementation. This widespread embrace of AI across both sectors underscores a growing recognition of its potential to revolutionize processes, enhance efficiency, and drive innovation.
The Pilot Study Plateau
Despite the surge in AI exploration, a common bottleneck is emerging. The RICS report found that both the construction and commercial property sectors share an identical proportion of organizations currently running early-stage AI pilot projects, standing at 39 percent. This suggests a uniform starting point for many firms looking to harness AI’s capabilities.
However, the data diverges significantly when examining the success rate of converting these pilot programs into regular, integrated use. Commercial property firms are demonstrating greater efficacy in this transition, with 29 percent reporting regular AI use. In contrast, the construction sector lags behind, with only 19 percent of organizations having successfully embedded AI into their daily operations on a consistent basis. This disparity suggests that while the initial spark of AI adoption is widespread, the pathways to sustained implementation are clearer and more navigable within commercial property.
Investment Intentions Point to Continued Growth
Looking ahead, investment intentions suggest that the upward trajectory of AI adoption is set to continue. A significant 47 percent of commercial property respondents have indicated plans to increase their investment in AI technologies over the next 12 months. This forward-looking commitment signals a strong belief in the long-term value and ROI of AI within this sector. The construction industry, while slightly more conservative, also shows robust investment intentions, with 37 percent of respondents planning to boost their AI spending in the coming year. These figures collectively paint a picture of an industry poised for further technological advancement, driven by strategic financial commitments.
The Evolving Challenge: From Experimentation to Embedding
RICS asserts that the industry’s primary challenge has definitively shifted. The focus is no longer on persuading organizations to simply experiment with AI, but rather on the more complex task of successfully embedding these technologies into established professional practices. This requires a fundamental rethinking of workflows, data management, and skill development.
The construction sector, despite its current struggles with full integration, has nevertheless witnessed substantial progress. The proportion of construction organizations reporting no AI use has decreased by more than a third since 2025, a positive indicator of broader industry engagement. Furthermore, regular AI use in construction has seen a commendable rise, climbing from 12 percent to 19 percent over the past year. This indicates that while the path to full integration may be longer, the industry is steadily moving forward.
Persistent Barriers to Widespread AI Integration
Several key obstacles continue to impede the seamless integration of AI into everyday operations across both sectors. A primary and persistent concern is the lack of skilled personnel. The rapid evolution of AI technologies necessitates a workforce equipped with new skills in data science, AI interpretation, and system integration. Many firms report a significant gap between the AI solutions they wish to deploy and the availability of qualified professionals to manage and leverage them effectively.
In the construction sector, privacy and security concerns have also escalated. Over the past year, the percentage of construction firms citing these issues as a barrier has risen from 22 percent to 30 percent. This heightened apprehension is likely linked to the increasing use of AI in areas involving sensitive project data, intellectual property, and potentially site-specific information. Ensuring robust data protection and cybersecurity measures is paramount for fostering trust and enabling wider AI adoption in construction.
RICS’s Call to Action: Strategic Integration Planning
In light of these findings, RICS is urging organizations to adopt a more strategic approach to AI implementation. The institution advocates for careful consideration from the outset of how successful AI pilots can be transitioned into routine practice. This proactive planning should encompass crucial elements such as the necessary data infrastructure, seamless integration with existing systems, adequate professional supervision, and robust governance frameworks. By addressing these foundational aspects early on, firms can mitigate potential roadblocks and pave the way for sustained AI utilization.
The Growing Importance of Professional Standards
The RICS report also underscores the critical role of industry-specific professional standards in guiding AI adoption. The institution’s "Responsible use of artificial intelligence in surveying practice" standard, which became effective in March 2026, is highlighted as an essential resource. As AI becomes increasingly intertwined with professional work, greater awareness and adoption of this standard will be vital for ensuring ethical, effective, and confident use of AI by surveying professionals. This framework provides a much-needed roadmap for navigating the complexities of AI integration responsibly.
A Year of Transformation and Responsibility
Maureen Ehrenberg FRICS CRE, President Elect of RICS, reflected on the significant shift observed over the past year. "A year ago," she stated, "this report described an industry approaching an inflection point. The conditions for AI to take hold were in place, but adoption itself was still limited. This year’s data shows that point has been crossed. This shift matters, as does the responsibility that comes with it."
Ehrenberg further emphasized the importance of the RICS professional standard in this evolving landscape: "RICS’ professional standard, ‘Responsible Use of Artificial Intelligence in Surveying Practice,’ which came into effect in March 2026, provides members with a well-defined framework for acting with confidence. This is the moment for the profession to lead, not follow." Her remarks highlight the dual nature of the current AI landscape: immense opportunity coupled with a profound need for responsible stewardship.
Broader Implications for the Built Environment
The findings of the RICS report have far-reaching implications for the future of the property and construction industries. The successful integration of AI promises to unlock significant benefits, including:
- Enhanced Design and Planning: AI can analyze vast datasets to optimize building designs, identify potential risks, and improve resource allocation during the planning phases.
- Streamlined Project Management: AI-powered tools can provide real-time project monitoring, predict delays, and automate administrative tasks, leading to more efficient project delivery.
- Improved Building Performance and Maintenance: AI can optimize building energy consumption, predict maintenance needs, and enhance occupant comfort, leading to more sustainable and cost-effective operations.
- Increased Safety: AI can be deployed in construction sites to monitor safety protocols, identify hazardous conditions, and reduce the risk of accidents.
- Smarter Real Estate Investment and Valuation: AI algorithms can analyze market trends, predict property values, and identify investment opportunities with greater accuracy.
The challenge now lies in bridging the gap between the potential of AI and its widespread, practical application. As RICS and industry leaders advocate for a more strategic and responsible approach, the next few years will be crucial in determining how effectively the property and construction sectors can harness the transformative power of artificial intelligence to shape the built environment of the future. The industry is at a critical juncture, and the decisions made today regarding AI integration will undoubtedly define its trajectory for years to come.
