By 2026, the question won’t be ‘if’ we use digital technologies, but how well we’ve prepared for them. Here are my top 10 innovations I believe will shape the next 18 months and how clients can lead, not follow.
Top 10 digital construction innovations shaping 2026
Over the past few years, working on major infrastructure programmes, I’ve seen first-hand how digital construction is shifting from innovation pilots to core infrastructure delivery. What was once “future-facing technology” is now shaping procurement strategies, regulatory compliance, programme assurance and operational readiness.
1. AI and generative design become mainstream
AI tools are already accelerating design iterations, automating take-offs and flagging clashes long before they hit the site.
A great example is the pilot of Alice Technologies on HS2, where AI is being used to optimise programme scheduling. Instead of manually reworking hundreds of activities, the AI engine evaluates thousands of scenarios in hours – identifying the fastest and most resilient sequence.
Aecom recently highlighted this shift in an article on data’s role in AI-enabled national infrastructure, making it clear that productivity gains rely on structured, reliable data foundations and asset-centric information models. AI isn’t replacing engineers – it’s amplifying them.
Client prep: Clean and structure your data now so it is AI-ready. Define how AI outputs are validated and governed. AI is only as smart as the data behind it.
2. Digital twins linked to real-time data
Digital twins are evolving into data-rich decision-making platforms, bringing together design, construction, and operational intelligence in real-time.
The digital twin vision for HS2 shows how programmes can operate at network scale. Meanwhile, on the Transpennine Route Upgrade, Bentley iTwin (pioneered by Network Rail and Jacobs) created a federated, continuously updated environment that connects data across delivery and into operation.
The pilot paid for itself within the first six weeks of operation, by identifying quality and coordination issues early.
Client prep: Focus on high-value datasets, not everything. Capture digital twin data requirements early, such as geometry, meta data, sensor integration and governance, to ensure data foundations are in place and instructed through procurement documentation.
3. Offsite and nearsite manufacturing
Manufacturing isn’t just happening offsite any longer, it’s moving next to the site.
The precast factory built adjacent to the Colne Valley Viaduct on HS2 is manufacturing massive components for both the Chiltern Tunnel and the viaduct, cutting logistics complexity, boosting quality and productivity.
Even more powerful: productivity data flowed in real time from the site back to the factory, allowing production and sequencing to be continuously optimised.
Client prep: Treat nearsite manufacturing as part of programme strategy, not an add-on. Lock down interfaces early and ensure your digital platform integrates factory-site data loops.
4. Robotics and automated plant on site
Autonomous equipment, robotic layout tools and drones are already reshaping how we build. These technologies are improving predictability, reducing rework and helping to address persistent labour shortages across the sector.
Robotic systems can execute repetitive or high-risk tasks with precision, while autonomous plant can operate continuously with minimal supervision – increasing productivity and reducing health-and-safety risks.
Beyond physical automation, these systems generate vast amounts of operational data, which can be fed into digital platforms to optimise sequencing, monitor performance and support predictive maintenance. For example, robotic layout tools integrated with BIM models can ensure accurate placement of components, reducing errors and improving quality assurance.
Client prep: Understand how automation shifts risk and ensure your contracts, insurance policies and assurance frameworks reflect that. Engage early with delivery partners to define how robotic systems will be integrated, governed and measured across the programme lifecycle.
5. 4D planning and digital rehearsal
4D is one of the most powerful enablers of safe, predictable delivery. It lets teams virtually experience and interrogate the build before breaking ground, exposing risks and optimising logistics.
4D is already delivering measurable health and safety benefits, identifying lifting conflicts, exclusion zones and interface issues. Leaders like James Bowles of Freeform are showing how structured rehearsals can de-risk complex operations.
When paired with AR/VR, 4D becomes a shared decision environment for safety teams, designers, supervisors and clients.
Client prep: Don’t treat 4D as optional. Embed it in stage gates, readiness reviews and RAMS.
6. Master data management (MDM) as a foundation for trusted information
Master data management is emerging as a critical enabler of digital construction success. At its core, MDM ensures that key data entities, such as assets, locations, schedules, suppliers and materials are consistently defined, governed and reused across the entire project.
For digital tools like AI, digital twins and 4D planning to deliver reliable insights, they must draw from a single, trusted source of master data.
This data must cascade through procurement, design, construction and operations, continuously updated and validated to reflect real-world changes. Without robust MDM, programmes risk fragmentation, duplication and misalignment, undermining assurance and decision-making.
Fragmented data remains a massive blocker on large programmes. Federated, cloud-based environments create a single source of assurance and enable faster, traceable decisions.
Client prep: Mandate master data strategies early, ensuring that platforms, contracts and delivery partners align to a unified data backbone.
7. Drones and reality capture as standard
Reality capture is now a core verification tool, not just a novelty. Drone and LiDAR data give objective progress evidence, build trust and strengthen schedule confidence.
However, success is not technically driven but cultural. I have seen reality capture projects both fly and flounder. The difference was in senior leadership driving the adoption across the project, and integrating its use into day-to-day operations.
Client prep: Make scan and drone data contractual deliverables and integrate them into reporting structures.
8. Digital workforce management
The construction workforce is changing fast. Today’s crews need digital fluency alongside traditional site skills. As digital tools become embedded in daily operations, from BIM-enabled setting out systems to real-time progress tracking and automated plant, productivity gains increasingly depend on people being able to work in, and with, data.
Digital workforce management also enables smarter resource planning, competency tracking and performance analytics. Platforms can link workforce data to project schedules, asset models and assurance frameworks, helping teams identify skill gaps, optimise deployment and support compliance.
For example, integrating workforce data with digital rehearsals and RAMS (Risk Assessment and Method Statements) ensures the right people have the right information, at the right time.
A key area of impact is in quality inspections. Digital tools now allow site teams to capture inspection data in real-time, using mobile devices linked to centralised platforms. This enables faster issue resolution, traceable quality records and improved compliance with standards.
When combined with workforce data, clients can ensure that inspections are carried out by qualified personnel, and that findings are integrated into programme-level dashboards for oversight and assurance.
Clients must recognise that digital capability is now a core competency, not a specialist function. Building digital literacy across all levels of delivery, from site operatives to senior leadership, is essential for unlocking the full value of digital construction.
Client prep: Require digital workforce strategies from contractors, including training plans, competency frameworks and technology adoption roadmaps. Build capability in-house to engage with digital delivery and ensure workforce and quality data is integrated into programme-level decision-making.
9. Carbon, regulation and digital delivery merge
Carbon and regulatory reporting is not a nice-to-have, but a necessity. Increasingly, infrastructure programmes are being held to account not just for cost and schedule, but for their environmental impact, with carbon performance and net diversity becoming a regulated deliverable.
Digital delivery is the only scalable way to evidence compliance and performance across complex, multi-stakeholder environments.
By embedding carbon and environmental metrics directly into design models, procurement workflows and construction sequencing, teams can monitor and manage carbon and environmental outcomes in real-time. This enables early intervention, where high-carbon options can be redesigned or respecified before they reach the site.
Moreover, digital platforms allow for transparent, auditable reporting – not just to regulators, but to communities, investors and internal governance boards.
Regulatory reporting increasingly demands structured, machine-readable data that aligns with open standards. Standardised handover packs based on the IFC (Industry Foundation Classes) data schema are becoming essential for ensuring that asset data is interoperable, traceable, and usable across the lifecycle.
These packs provide a consistent framework for delivering environmental performance data alongside asset information, enabling clients to meet compliance obligations from multiple stakeholders in a standardised, open-source delivery format, and support long-term sustainability goals.
Just as the humble shipping container standardised how goods are packaged and delivered, across the globe, the IFC schema can do the same for how information is packaged & delivered at the end of a project.
Client prep: Make carbon and environmental reporting part of your digital strategy, not a parallel workstream. Ensure data is structured, governed and integrated into your core information requirements and delivery models. Mandate the use of IFC-based handover packs to support regulatory compliance and future asset performance tracking.
10. Open data standards and asset-centric delivery
The quiet foundation of all this innovation is interoperability. Digital twins, AI, 4D and manufacturing strategies only deliver sustainable value when they’re built on a consistent, well-defined asset ontology. Open standards like IFC, Uniclass and COBie give us a shared asset language that outlives tools and contracts.
Yes, ontology is hard to communicate, especially to senior leaders focused on delivery outcomes. But more and more people now recognise it as the critical glue that holds the digital ecosystem together.
On HS2, a clearly defined asset ontology and classification structure have been embedded to support the digital twin strategy by linking every asset to unique identifiers and enabling multiple delivery partners to work from a single digital asset register.
As understanding grows, we’re hitting a tipping point: ontology is shifting from niche technical topic to strategic enabler.
Client prep: Define your asset ontology early and mandate open standards in contracts and tools. Align info delivery to WBS/UAID/classification and communicate ontology in plain language, linking it to value: better handover, lower cost, smarter assurance.
Ontology underpins everything above. When it’s strong, AI works smarter, digital twins get richer, 4D gets more accurate and assets remain usable for decades.
What this means for clients
Adopting these tools creates a strategic shift. The clients that thrive will not simply adopt digital technologies, they will embed them into the DNA of their programmes.
Digital must be treated as a core enabler of delivery, not an innovation bolt-on or a separate workstream. This means integrating digital thinking into procurement, governance, and assurance from day one.
Successful clients will embed structured data and assurance requirements early in procurement processes, ensuring that delivery partners are aligned to a common digital strategy. This includes mandating open data standards, defining asset ontologies, and requiring master data management strategies that cascade through the entire lifecycle, from design and construction to handover and operation.
A single, trusted source of managed information must be established and maintained, enabling consistent decision-making and traceable outcomes.
Internal capability is equally critical. Clients must build digital literacy across all levels of their organisation – from leadership to site teams – to engage meaningfully with digital delivery. This includes understanding how technologies like AI, digital twins and 4D planning impact programme performance, and how to govern them effectively.
Governance must evolve, too. Rather than reacting to technology, clients must proactively define how it is used, validated and assured. This includes setting clear expectations for regulatory reporting, especially around carbon and environmental performance.
Standardised handover packs based on the IFC (Industry Foundation Classes) schema should be mandated to ensure that asset and environmental data is interoperable, auditable and usable across the lifecycle.
In short, digital success is about leadership, strategy and execution.
A call to action
Major programmes like Sizewell C, Hickley, National Grid Upgrade, HS2 and TRU and Thames Tideway show us that the digital revolution isn’t coming, it’s already here. The question is no longer “what tech should we use?” but “are we ready to lead this transformation, or will we be forced to catch up?”
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