How Smarter Information Sharing Can Improve Collaboration and Coordination Across Disciplines

The Challenge of Connected Project Information:

A structural model changes, but the services team is still coordinating against an earlier version.

A fabricator needs details for one part of the building yet receives an entire model to work through.

These are familiar challenges on construction projects. Information exists, but getting the right information to the right people, in a form they can use, is not always straightforward.

With different disciplines working across multiple software platforms, sharing files is only part of the solution. Teams also need to understand what has changed, which information is relevant, and how it fits alongside the work of others.

When those connections are missing, valuable time is spent checking versions, preparing exports and clarifying details rather than resolving design issues. The result can be avoidable rework, coordination delays and reduced project efficiency.

A more connected approach starts with sharing the information a task actually requires, rather than treating every exchange as a whole-model handover. Autodesk Data Exchange supports this approach by making selected model geometry and properties available across supported applications.

Bringing those exchanges into Model Coordination takes that connection a step further by allowing teams to review shared information alongside other project models within a coordinated environment.

What is Autodesk Data Exchange?

Autodesk Data Exchange is a cloud-based method for sharing selected model data without distributing an entire design file. Teams can share only the geometry and properties required for a specific task, such as a stair core, plant room or fabrication package, ensuring collaborators receive relevant information without unnecessary model content.

Through supported connectors, this information can be used across Autodesk and third-party applications, helping teams work with shared data in the tools they already use. Exchanges can be updated as source models change, with the update process varying depending on the connector and workflow.

The benefit is straightforward: less unnecessary data handling and more targeted information sharing.

Consider a steel fabricator who only requires structural steelwork associated with a plant room. Traditionally, this may involve receiving and processing a much larger building model. With Data Exchange, only the relevant geometry and associated properties can be shared, allowing the team to focus on the information needed to complete their task without the overhead of managing additional model content.

Bringing Data Exchange into Model Coordination:

Autodesk Model Coordination provides a web-based environment where teams can view aggregated models, perform automated clash detection and manage coordination issues without specialist desktop software.

With Data Exchange now supported, project teams can bring exchanges directly into coordination workflows alongside other supported model formats. This creates a more connected process, allowing teams to move seamlessly from sharing information to reviewing and validating it within the same environment.

Two key capabilities are introduced:

Aggregation: Data Exchanges can be incorporated into coordination views, combined with other supported formats, saved as Snapshots and shared through Autodesk’s data management environment. They also work with tools such as Object Table, Object Colours and Transform, enabling teams to review exchanged information alongside other project models.

Clash Detection: Data Exchanges created from Revit and Inventor can participate in automated clash detection workflows. Clashes can be tracked as issues and retain their history as exchanges are updated, supporting continuity throughout the project lifecycle.

While Data Exchanges are not traditional files but data containers linked to source information from platforms such as Revit, Inventor, IFC and Tekla Structures, the overall direction is clear: coordination is becoming more connected, more targeted and less dependent on transferring large model files between teams.

What Does This Mean for Project Teams?

For project teams, the biggest shift is that coordination no longer needs to rely entirely on whole-model handovers. Instead, teams can bring the specific geometry and properties required for a task into Model Coordination, review them alongside other disciplines and manage issues in the same environment.

More focused coordination

Reviewers can work with the specific area of interest, such as a stair core or plant room, rather than navigating through an entire project model. This helps teams spend more time identifying and resolving issues and less time searching for relevant information.

Improved collaboration across platforms

Information from Revit, Inventor and other supported sources can be coordinated together, helping bridge the gap between design, fabrication and manufacturing teams that may use different software tools.

Continuity as models evolve

Because clash information can remain associated with an exchange as it is updated, teams can maintain visibility of issues throughout design development rather than restarting coordination processes with every new version.

Better shared context

Aggregated views and snapshots can be shared across project teams, helping everyone work from the same coordinated information when reviewing issues and making decisions.

To realise these benefits, teams should establish clear responsibilities for creating and maintaining exchanges, ensure they are using current connectors and understand which workflows are supported within their project environment. A small amount of planning can help ensure information remains both targeted and coordination-ready.

Looking Ahead:

As projects become larger and more complex, successful coordination depends on more than simply exchanging files. Teams need access to the right information, at the right level of detail and at the right time.

The combination of Data Exchange and Model Coordination represents a move towards more connected workflows, where project data can be shared with greater purpose and coordinated in context.

By bringing Data Exchange and Model Coordination together, Autodesk is helping teams move beyond traditional file-based workflows towards a more connected approach to project delivery. The ability to share targeted information, coordinate it in context and maintain visibility as designs evolve helps teams collaborate more effectively, resolve issues earlier and make better-informed decisions throughout the project lifecycle.

Draftech – Your Project, Our Expertise

A coordinated BIM model is a key part of modern construction, but a detailed model doesn’t automatically mean a project is ready for installation.

Construction teams need more than a visual representation of building services. They need clear, accurate and coordinated information that shows how mechanical, electrical and hydraulic services are intended to be installed — including their locations, dimensions, elevations and relationships with other building elements.

This is where Revit shop drawings play an important role.

By translating coordinated BIM information into practical construction documentation, Revit shop drawings help bridge the gap between design intent and on-site installation.

What Are Revit Shop Drawings?

Revit shop drawings are detailed construction drawings developed using Autodesk Revit to communicate how building services and components are intended to be installed.

In mechanical, electrical, and hydraulic (MEP) projects, these drawings give installation teams a clearer understanding of service routes, equipment locations, spatial requirements, and relationships between systems.

Depending on the project requirements, shop drawings may include:

• Ductwork and pipework layouts.
• Dimensions, levels and elevations.
• Equipment locations and installation clearances.
• Sections, enlarged views and installation details.
• Coordinated MEP services and interfaces with other building elements.
• Schedules, tags, annotations and other installation information.

The level of detail required depends on the project, the scope of work and the documentation standards agreed with the construction team.

The objective is not simply to produce drawings. It is to provide information that people can use confidently to plan and carry out the work.

Why Are Revit Shop Drawings Important?

Design information must pass through several stages before it becomes a physical installation. During this process, information gaps, spatial conflicts and unclear installation requirements can create problems for construction teams.

Revit shop drawings help address these challenges by making the intended installation easier to understand and coordinate before work reaches the site.

1. Identify Issues Before Installation

Building services compete for space within ceilings, risers, plant rooms and other constrained areas. Ductwork, pipework, cable trays, structural elements and equipment must fit together within the available space.

A coordinated Revit model can help teams identify potential clashes and access issues before installation begins.

Resolving these issues earlier gives the relevant project teams an opportunity to review and agree on solutions before they lead to unnecessary site changes.

2. Improve Installation Accuracy

Clear dimensions, elevations, sections and equipment locations help installers understand where services are intended to run and how they relate to surrounding elements.

When this information is consistent and sufficiently detailed, teams have a stronger basis for setting out and installing services in accordance with the approved project requirements.

3. Reduce Avoidable Rework

Unclear drawings and unresolved coordination issues can result in services being installed incorrectly, relocated or modified on site.

These changes may affect labour, materials, programme and other trades working in the same area.

By improving coordination and communicating installation requirements clearly, shop drawings can help reduce the likelihood of avoidable rework. The outcome depends on the quality of the underlying information, the coordination process and how effectively the drawings are reviewed and used.

4. Support Communication Between Project Teams

Construction projects involve multiple disciplines, subcontractors, consultants and installation teams. Each needs reliable information to make decisions and carry out its work.

Well-prepared shop drawings provide a common reference for understanding service layouts and identifying interfaces between disciplines.

This becomes particularly important when changes occur. Updated models and drawings need to be reviewed, coordinated and distributed through the agreed project process so teams are not working from conflicting information.

What Makes a Good Revit Shop Drawing?

Producing a shop drawing involves more than extracting views from a model. The documentation must be suitable for its intended purpose and reflect the level of coordination required by the project.

Several factors contribute to effective shop drawings:

• Clear presentation: Drawings should communicate the information installers need without unnecessary complexity or ambiguity.
• Accurate dimensions and elevations: Critical levels, clearances and spatial relationships should be communicated in accordance with project requirements.
• Coordinated service routes: Building services should be reviewed against relevant architectural, structural and other services information to identify potential conflicts.
• Appropriate details: Sections, enlarged views and installation details should clarify complex areas where a general layout may not provide enough information.
• Consistent information: Model content, schedules, annotations and drawing revisions should be managed so the documentation remains aligned with the agreed project information.
• Quality assurance: Drawings should be checked against the relevant model, project requirements and coordination outcomes before issue.

Ultimately, a good shop drawing makes the intended installation easier to understand, coordinate and execute.

From Design to Site: Where Revit Fits into the Process

Revit shop drawings form part of a wider information and coordination workflow.

1. Design Information

Establish the design intent, system requirements and relevant project information.

2. BIM Modelling

Develop the building services model to the agreed scope and level of detail.

3. Coordination and Review

Identify potential clashes, review interfaces and resolve issues with the relevant teams.

4. Shop Drawing Production

Prepare clear, coordinated construction documentation for review and use in accordance with project requirements.

5. Site Installation

Give construction teams clearer information to support installation planning and execution.

Each stage depends on the quality of the information passed from one team to the next.

If coordination issues remain unresolved, or changes are not reflected consistently in the project documentation, even a well-presented drawing may fail to communicate the latest agreed requirements.

This is why the process behind the drawings matters just as much as the drawings themselves.

How Draftech Supports Better Construction Documentation

At Draftech, we understand that the value of Revit shop drawings extends beyond the model or the finished document.

Our focus is on developing practical building services documentation that supports coordination, communicates installation requirements clearly and helps construction teams work with greater certainty.

By combining BIM modelling, coordination and a structured documentation workflow, we help translate complex building services information into drawings that are useful to the people delivering the project.

The aim is to identify issues earlier, improve the consistency of project information and help reduce avoidable problems during installation.

Because successful digital delivery is not just about creating a model. It is about ensuring the information developed from that model is coordinated, understood and useful throughout construction.

Better Coordination. Better Information. Better Outcomes.

Revit shop drawings are an important link between digital engineering and physical construction. When developed from reliable information and supported by effective coordination and quality assurance, they help project teams understand installation requirements and address potential issues before they reach the site.

The difference is not simply in how the drawings look. It is in how effectively they support the work that follows.

At Draftech, we turn coordinated BIM information into practical construction documentation designed to support better project outcomes.

Need support with MEP shop drawings or BIM coordination for your next project?

Contact the Draftech Production Team to discuss your project requirements.

Why Investment Doesn’t Always Translate into Measurable Value

New research shows construction firms are increasing technology investment, yet poor coordination and execution continue to drive cost overruns and rework. A recent Revizto report reveals a growing gap between digital investment and jobsite execution, contributing to ongoing coordination challenges across the construction industry. The report found that time constraints and workflow limitations remain key barriers to adoption, with 60% of teams still relying heavily on 2D drawings. At the same time, project complexity and coordination issues are increasing, with 41% of respondents citing poor communication as a leading cause of rework.

Despite significant investment in digital tools, many organisations are still struggling to achieve consistent improvements in productivity, project certainty, and collaboration. This raises an important question for the construction industry: if technology adoption continues to accelerate, why aren’t project outcomes improving at the same rate?

The answer may not lie in the technology itself. More often, the gap exists between digital capability and project delivery. While businesses continue to invest in new systems and platforms, the processes, workflows, and behaviours needed to turn those investments into measurable value often lag. Closing that gap is where the real opportunity lies.

Why Does the Gap Exist?

Technology alone does not transform projects.

Many organisations approach digital transformation as a software implementation exercise. New platforms are introduced, licenses are purchased, and teams receive training. However, project delivery often continues using the same fragmented processes and communication habits that existed before the technology arrived.

The result is a disconnect between what’s possible digitally and what happens on-site.

Construction projects are becoming more complex, involving larger teams, more specialised disciplines, tighter programmes, and increasing client expectations. At the same time, information is still frequently exchanged through disconnected workflows, spreadsheets, email chains, and static documentation.

When technology is layered onto inconsistent processes, businesses may be more digital, but they are not necessarily more coordinated.

This matters because coordination remains one of the most significant influences on project performance. Missed communication, outdated information, and unresolved design issues create rework, delays, budget pressure, and increased risk throughout the project lifecycle.

What Can Businesses Do Differently?

The organisations seeing the greatest return from digital investment tend to view technology as an enabler rather than the solution itself.

Instead of asking:

“What software should we buy?”

they ask:

“What project outcome are we trying to improve?”

This subtle shift changes the conversation from technology deployment to operational improvement.

Practical Actions That Deliver Results

1. Project Outcomes

Before selecting new technology, clearly define the business problems you want to solve.

Examples include:

• Reducing RFIs
• Reducing coordination clashes
• Improving programme certainty
• Minimising rework
• Increasing visibility across project teams
• Improving handover quality

When desired outcomes are defined first, technology decisions become more strategic and measurable.

2. Build Capability Alongside Technology

Technology only creates value when people know how to use it effectively.

Successful organisations invest not only in software but also in:

• Digital leadership
• Change management
• Process development
• Skills development
• Cross-team collaboration

The focus should be on creating confidence and consistency, ensuring project teams understand not only how to use tools but why they matter.

3. Establish Consistent, Repeatable Workflows

One of the biggest barriers to project performance is variability.

High-performing organisations create repeatable workflows that can be applied across multiple projects.

Examples include:

• Standard BIM execution processes
• Defined model review workflows
• Consistent information management practices
• Structured issue-resolution processes
• Shared collaboration standards

Consistency reduces confusion and makes project performance more predictable.

4. Measure Performance, Not Activity

Many businesses measure digital activity rather than project outcomes.

They track:

• Number of models created
• Number of users
• Number of meetings
• Number of files shared

While useful, these metrics don’t necessarily indicate success.

Instead, organisations should measure:

• Reduction in rework
• Coordination issue resolution time
• Programme certainty
• Cost predictability
• Productivity improvements
• Fewer site-based conflicts

These measures connect digital investment directly to business value.

How Does This Translate Into Better Project Outcomes?

When organisations focus on outcomes, capability, workflows, and performance measurement, the benefits extend throughout the project lifecycle.

The benefits are rarely immediate or isolated. Instead, improvements in coordination, information management, and decision-making create a ripple effect that influences project performance from planning and design through to construction and handover.

Better Planning

Clearer information enables better decision-making earlier in the project, reducing downstream risk.

Improved Coordination

Project teams spend less time searching for information and more time resolving issues collaboratively.

Reduced Rework

Potential clashes and coordination issues can be identified and resolved before they impact construction activities.

Greater Cost Certainty

Fewer surprises translate into more predictable budgets and stronger commercial outcomes.

Faster Project Delivery

Streamlined workflows and improved communication reduce delays caused by information bottlenecks.

Increased Client Confidence

Projects delivered with greater certainty create stronger relationships and encourage repeat business.

Improving project performance isn’t about adopting every new technology that enters the market or adding more digital processes to an already busy workflow. It’s about making better use of the tools, information, and expertise that organisations already have at their disposal.

When businesses align digital investment with clear project objectives, build capability within their teams, and establish consistent, repeatable workflows, technology becomes an enabler rather than an overhead. The result is better coordination, greater visibility, more reliable information, and fewer costly surprises as projects move from design through to delivery.

Ultimately, digital maturity isn’t measured by the amount of technology a business owns. It’s measured by the value that technology creates, helping teams collaborate more effectively, make better decisions, and deliver stronger project outcomes.

Draftech – Your Project, Our Expertise

Construction is where projects become visible. It’s where the cranes arrive, concrete is poured, and buildings begin to take shape. For most people, that’s where a project starts.

In reality, it’s where years of decisions begin to reveal themselves.

Long before the first sod is turned, hundreds of decisions have already been made.

• Should the site be purchased?
• Is the project financially viable?
• Does the planning pathway align with the intended outcome?
• Has the right expertise been engaged?
• Is the project even ready to proceed?

Why Earlier Matters:

Every project carries uncertainty.

• Markets change.
• Construction costs move.
• Planning policies evolve.
• Infrastructure constraints emerge.
• New information becomes available.

Many of the issues that ultimately affect project cost, schedule and delivery originate long before construction begins, during feasibility studies, land negotiations, environmental assessments, design coordination, financial planning and regulatory approvals.

Decisions made during these stages can create significant downstream consequences when information, responsibilities and approval requirements are not clearly defined.

None of these factors can be eliminated. The question is not whether uncertainty exists, but whether critical decisions are being made with a clear understanding of where that uncertainty sits.

Better decisions do not remove uncertainty. They help project teams understand and manage it before committing significant time, money and resources.

As a result, quality management should extend across the entire project lifecycle, providing a framework for coordinating information, assigning responsibilities and identifying uncertainty before major investment and contractual commitments are made.

While project teams often measure success through cost, programme and delivery performance, each is influenced by productivity. Although productivity is frequently viewed as a construction-stage issue, many of the factors that determine it are established much earlier through planning, design development, coordination and decision-making.

When information is incomplete, responsibilities are unclear, or critical decisions are delayed, those challenges rarely remain confined to the pre-construction phase. They resurface during delivery as rework, disruption, delays and increased costs.

In this way, productivity is not simply a measure of how efficiently work is performed. It is often a reflection of how effectively a project has been prepared before construction begins.

Why Productivity Now Sits at the Centre of Commercial Performance:

In an environment characterised by rising costs, workforce constraints and increasing client expectations, productivity has become one of the construction industry’s most important indicators of commercial performance.

For project owners, contractors and consultants alike, productivity directly influences:

• Project cost outcomes
• Programme certainty
• Labour efficiency
• Resource utilisation
• Profitability and commercial return

When productivity improves, organisations can deliver more value with the same resources. When it declines, costs increase, schedules extend and delivery risk grows.

In construction, however, productivity is not determined solely by activities taking place on site. It is heavily influenced by the quality of information, coordination and decision-making established throughout planning and design.

Projects that enter construction with unresolved clashes, incomplete documentation or poorly defined responsibilities often experience productivity losses before physical work has even commenced.

These losses commonly emerge through:

• Rework and design revisions
• Programme disruption
• Resource inefficiencies
• Trade coordination conflicts
• Delayed approvals and decision-making

Improving productivity therefore requires organisations to focus not only on construction performance but also on the quality of project preparation and coordination that occurs beforehand.

Where Value Is Lost Across the Project Lifecycle:

One of the biggest misconceptions in project delivery is that risk begins during construction. More often, it is carried forward from earlier project phases where decisions have been made using incomplete information or without sufficient stakeholder coordination.

Small gaps in planning and design can compound over time, creating larger challenges during delivery.

These can include:

• Incomplete or inconsistent project documentation
• Late design modifications
• Building services clashes
• Ambiguous ownership of project decisions
• Information silos between disciplines
• Quality assurance gaps
• Unclear approval pathways

Individually, these issues may appear manageable. Collectively, they can significantly impact programme certainty, project cost and overall delivery performance.

The later these challenges are identified, the more expensive and disruptive they become to resolve.

This is why leading organisations are investing in earlier coordination, stronger information management practices and structured review processes that reduce uncertainty before construction begins.

The Role of Leadership, Experience and Workforce Capability:

Technology can improve visibility, access to information and coordination, but it cannot replace leadership, accountability or experience.

Successful projects rely on people who can interpret information, challenge assumptions, identify risk and make sound decisions before issues escalate.

Communication failures, skills shortages and competing project priorities can undermine coordination efforts regardless of the systems and processes in place.

High-performing teams establish clear lines of responsibility, effective governance structures and collaborative working relationships from the earliest stages of project development.

This helps ensure decisions are made with confidence and that project risks are understood and addressed before they evolve into delivery challenges.

What High-Performing Projects Do Differently:

While every project presents unique challenges, high-performing projects tend to share a number of common characteristics. Their success is rarely the result of a single technology, process or decision. Instead, it stems from a consistent focus on improving decision-making, strengthening coordination and reducing uncertainty throughout the project lifecycle.

One of the most important characteristics is early collaboration. Rather than working in isolation, project teams bring together clients, designers, consultants, contractors and specialist disciplines early enough to influence outcomes. This allows risks, constraints and opportunities to be identified when changes are still achievable and significantly less costly to implement.

High-performing projects also establish clear decision-making frameworks. Responsibilities are defined, governance pathways are understood and teams know who is accountable for key decisions. This reduces delays caused by uncertainty, conflicting priorities and duplicated effort.

Equally important is coordinated design and reliable information management. When project teams work from consistent, trusted information, they are better positioned to identify clashes, resolve conflicts between disciplines and maintain alignment as designs evolve. Reliable information reduces assumptions and increases confidence when making commercial, technical and operational decisions.

These projects are also proactive in their approach to risk identification and quality assurance. Rather than waiting for issues to emerge during construction, they invest time in structured reviews, verification processes and coordination activities that help uncover potential problems earlier. The objective is not to eliminate uncertainty entirely, but to understand it well enough to make informed decisions before significant commitments are made.

Ultimately, high-performing projects do not succeed because they encounter fewer challenges. They succeed because they identify and address those challenges earlier. By creating systems, processes and cultures that support collaboration, informed decision-making and coordinated delivery, they reduce uncertainty before it becomes project risk.

Delivery certainty is not created when construction begins. It is built through the decisions made, the information shared and the risks addressed well before work reaches site.

Digital tools can support that process, but the real value comes from how effectively people, information and technical expertise work together. When coordination is treated as an essential part of project delivery rather than a task to complete along the way, teams are better positioned to reduce avoidable risk, protect productivity and deliver with greater confidence.

Draftech – Your Project, Our Expertise

How the AEC industry can embrace automation without losing control, accountability or human judgement

Artificial Intelligence has moved from experimentation to expectation.

Across the AEC industry, organisations are exploring new ways to automate processes, improve productivity and extract greater value from project information. The opportunities are significant, but so are the responsibilities.

As AI becomes increasingly embedded in business operations, one question is becoming impossible to ignore:

Who remains accountable for the decisions it influences?

The future of construction is unlikely to be defined by artificial intelligence alone. It will be defined by how effectively organisations balance automation with oversight, efficiency with governance, and innovation with human judgement.

That balance may ultimately determine whether AI becomes a trusted partner, a business risk, or something in between.

Is AI a friend, a foe, or something in between? The answer may not be as simple as choosing sides.

AI Has Moved from Experiment to Everyday Tool

Not long ago, conversations about AI were largely theoretical. Businesses discussed its potential, explored pilot programs, and debated whether it would genuinely transform the way we work.

Today, that transformation is already underway.

AI-powered tools are helping teams automate repetitive tasks, organise information, generate reports, identify patterns in large datasets, and accelerate decision-making processes. What once required hours of manual effort can now be completed in minutes.

For the AEC industry, the benefits are clear. Professionals spend significant time managing information, coordinating stakeholders, reviewing documentation, and maintaining project data. AI has the potential to reduce administrative burden and allow teams to focus on higher-value work.

The question is no longer whether AI will become part of the industry.

The question is how we use it responsibly.

The New Risk: Losing Visibility and Control

While discussions about AI often focus on productivity gains, the greater challenge may be maintaining visibility and control over how decisions are made.

Automation can be incredibly powerful. However, when people begin accepting AI-generated outputs without understanding how conclusions were reached, a new risk emerges.

Teams can lose sight of:

• Where information originated
• How recommendations were generated
• Whether the underlying data is accurate
• Who remains accountable for decisions

AI can process information at remarkable speed, but speed alone does not guarantee quality.

In fact, one of the biggest risks organisations face is not that AI will make poor decisions. It is that people may stop questioning the outputs it produces.

When this happens, technology shifts from being a tool that supports decision-making to becoming an authority that operates without sufficient oversight.

AI Can Automate the Task. But Who Controls the Decision?

This distinction is critical.

AI excels at analysing data, identifying patterns, generating content, and automating routine activities. These capabilities can create significant efficiencies across construction projects and business operations.

What AI cannot replace is professional judgement.

A project manager remains accountable for project outcomes. An engineer remains accountable for technical decisions. A designer remains accountable for design intent. A business leader remains accountable for risk and strategy.

AI can assist.

AI can recommend.

AI can automate.

But responsibility still belongs to people.

The most successful organisations will not be those that hand over decision-making to AI. They will be those that use AI to enhance human expertise while maintaining clear accountability, governance, and review processes.

In other words, AI should support decision-makers, not replace them.

The AEC Industry Has a Particular Challenge

Every industry faces questions about AI adoption, but the AEC sector faces a unique challenge.

Construction projects generate enormous volumes of information. Models, drawings, documents, specifications, schedules, asset data, and project communications often exist across multiple platforms, teams, and stakeholders.

The reality is that many organisations are still working through challenges related to data consistency, interoperability, information management, and digital maturity.

This matters because AI is only as effective as the information it receives.

Before asking AI to identify risks, make recommendations, or automate decisions, organisations must first consider the quality of the information supporting those outcomes.

Poor information does not become better information because AI processes it faster.

Inaccurate, incomplete, or disconnected data simply leads to inaccurate, incomplete, or disconnected results.

For many businesses, the real opportunity is not adopting more AI tools. It is strengthening the information foundations that make AI useful in the first place.

Why Information Management Matters More Than Ever

This is where Building Information Modelling (BIM) and effective information management become increasingly important.

Well-structured information creates the environment in which AI can deliver meaningful value.

When project data is standardised, accessible, connected, and governed by clear processes, organisations gain confidence in the outputs generated by digital tools.

When information is fragmented across systems, duplicated, inconsistent, or poorly maintained, even the most advanced AI solution will struggle to deliver reliable results.

The future of AI in construction is not simply about technology adoption.

It is about creating trusted digital environments where information can flow efficiently, and decisions can be supported by accurate, high-quality data.

In many respects, organisations investing in BIM, information management, and digital transformation are already laying the groundwork for successful AI adoption.

What Does Responsible AI Adoption Actually Look Like?

Responsible AI adoption is not about moving faster than everyone else.

It is about moving forward with purpose.

For AEC organisations, that means focusing on several key principles:

Start with data quality

Reliable outputs begin with reliable inputs. Investment in information quality often delivers greater long-term value than investment in additional technology.

Keep humans accountable

AI can provide recommendations and insights, but people must remain responsible for decisions and outcomes.

Establish governance frameworks

Clear processes should define how AI-generated outputs are reviewed, validated, approved, and monitored.

Improve processes before automating them

Technology should support effective processes, not compensate for poor ones. Automating an inefficient workflow often amplifies existing challenges.

Focus on augmentation rather than replacement

The objective should be to empower professionals with better information and faster insights, enabling them to make more informed decisions.

Finding the Balance

AI is neither friend nor foe.

It is a tool, and its value will ultimately be determined by the quality of the information behind it and the people guiding its use.

For the AEC industry, the goal should not be to replace expertise with automation. It should be to combine trusted information, capable technology and informed human judgement to make better decisions.

The organisations that succeed will not be those that hand over control to AI. They will be the ones that use it responsibly.

Because technology can support the decision.

Responsibility cannot.

Draftech – Your Project, Our Expertise

What the GS1 and buildingSMART collaboration could mean for BIM, product data and the future of asset information.

The Growing Importance of Trusted Product Information

For years, Building Information Modelling (BIM) has helped project teams understand a building before it is constructed.

Where is a component located? What system does it belong to? How does it connect to other building elements? Are there clashes that need to be resolved before installation?

BIM has transformed how project teams coordinate designs, identify potential issues and communicate construction information.

But as digital delivery continues to evolve, another question is becoming increasingly important:

Can we trust the information behind the products and materials represented in our models?

A BIM model may show the location of a pump, door, light fitting or cladding panel. It may also contain dimensions, technical properties and system relationships. However, does it provide consistent, reliable information about the actual product, its manufacturer and its associated data?

Can that information be shared between designers, engineers, contractors, suppliers, asset owners and facility managers without unnecessary duplication or rework?

This is where the collaboration between GS1 and buildingSMART becomes particularly relevant.

Their work highlights an important development in the construction industry: moving beyond the coordination of digital models towards better-connected, more consistent information throughout the asset lifecycle.

Who Are GS1 and buildingSMART?

Although GS1 and buildingSMART operate in different areas, their work addresses complementary information challenges.

buildingSMART: Connecting Built-Asset Information

buildingSMART International develops open standards that support digital collaboration and information exchange across the built environment.

One of its best-known standards is Industry Foundation Classes (IFC), which supports the exchange of structured building and infrastructure information between different software applications.

OpenBIM helps project stakeholders share and use information across different platforms, reducing reliance on a single software environment.

For BIM teams, this supports more consistent collaboration between designers, engineers, contractors, owners and operators.

However, successful information exchange still depends on appropriate modelling practices, data requirements and implementation.

GS1: Identifying Products and Connecting Information

GS1 develops global standards for identifying, describing and sharing information about products, companies, locations and other entities.

Many people encounter GS1 standards every day through product barcodes used in retail, manufacturing, healthcare and logistics.

These standards help organisations identify products consistently and connect them to relevant information across supply chains.

In construction, this creates opportunities to improve how building products and materials are identified, tracked and referenced throughout their lifecycle.

While buildingSMART focuses on the structure and exchange of built-asset information, GS1 provides standards for identifying products and connecting them with relevant data.

Together, these approaches create an opportunity to connect product identity with the digital information used to design, construct and operate buildings.

Two Standards. Two Complementary Roles.

GS1 and buildingSMART address different parts of the same broader challenge: ensuring information can be consistently identified, exchanged and used by the people who need it.

• GS1 helps identify and connect: Products, companies, locations, documents and supply chain information.
• buildingSMART supports the exchange of built-asset information: BIM models, buildings, infrastructure and lifecycle information.

When these approaches are aligned, there is potential to connect the physical products used in construction with the digital information representing them.

The benefit is not simply a more detailed BIM model. It is the opportunity to create more consistent, traceable and reusable information that supports decisions beyond the design and construction phases.

Where GS1 Comes In

Construction projects involve thousands of products sourced from different manufacturers, suppliers and distributors.

Each product may have its own specifications, technical documentation, identification methods and data formats.

While BIM models can contain product information, the quality and consistency of that information can vary considerably. Different naming conventions, inconsistent properties and disconnected supplier records can create challenges throughout design, procurement, construction and operations.

GS1 provides globally recognised identification standards that can help address part of this challenge.

For example, a globally unique product identifier, such as a Global Trade Item Number (GTIN) where applicable, can help distinguish a particular trade item and connect it to relevant product information.

When implemented appropriately, this can help project teams reference the correct product and access associated information more consistently.

Potential benefits include:

• Improved product identification and traceability
• More consistent procurement information
• Better visibility of product specifications and documentation
• Support for product substitution and recall processes
• Stronger connections between physical products and digital records

However, identifying a product is only one part of the process. The quality, accuracy and currency of its associated information still depend on the source data, the systems used and the processes in place to maintain it.

In simple terms, GS1 can help organisations identify which product they are referring to, while providing a foundation for connecting that product to relevant information.

Where buildingSMART Comes In

Identifying a product is valuable, but that information also needs to be understood and exchanged within the wider project environment.

This is where buildingSMART’s work becomes important.

OpenBIM standards support the structured exchange of building and infrastructure information between different software applications and project stakeholders.

A BIM model can contain substantial information about building components, including their location, dimensions, relationships, properties and technical requirements.

However, that information only delivers its full value when it can be shared, interpreted and maintained by the people who need it.

For example, information created during design may need to be used by contractors during construction, transferred to an asset owner at handover, and accessed by facility managers throughout the building’s operational life.

Without consistent information structures and suitable exchange processes, valuable data can become fragmented, duplicated or difficult to maintain.

Open standards provide a foundation for reducing these challenges, supporting information that remains useful even when project teams, software platforms and operational requirements change.

What Happens When They Work Together?

The opportunity becomes clearer when trusted product identification is connected with open BIM information standards.

In 2018, buildingSMART International and GS1 signed a Memorandum of Understanding to explore how their respective standards could support better product exchange, identification and transparency in the construction industry.

This was followed by an Australian agreement between buildingSMART Australasia and GS1 Australia in 2019.

In 2021, the organisations published a joint white paper exploring how GS1 identification standards and openBIM could work together to improve product information exchange and traceability across the built environment.

More recently, in September 2026, buildingSMART International and GS1 held a webinar examining how their standards can connect the digital and physical worlds.

These developments demonstrate the continuing industry interest in improving how product information connects with digital construction and asset information.

You can explore the original material here:

• GS1 Australia and buildingSMART Australasia Memorandum of Understanding
• buildingSMART International and GS1 joint white paper
• September 2026 webinar: Connecting the Digital and Physical Worlds Using Standards

What Could This Look Like in Practice?

Imagine a BIM object representing a pump, fan or other building component.

The model may contain its location, dimensions, system connections and technical properties. A globally unique product identifier, where applicable and correctly linked, could also help connect that object to relevant manufacturer information.

Rather than relying entirely on manually entered product details, project teams could potentially use these connections to access more consistent information about the physical product represented in the model.

This creates opportunities to strengthen the connection between the digital model and the actual product, supporting activities such as:

• Product identification and traceability
• Procurement and product substitution checks
• Construction documentation and digital handover
• Maintenance and asset management
• Product recall and compliance processes
• Lifecycle information management

As digital twins and connected asset management systems develop, these connections may become increasingly valuable.

It is important to recognise, however, that these outcomes are not automatic. They depend on reliable source data, appropriate information links, agreed project requirements and processes that maintain the information throughout the asset lifecycle.

The standards provide a foundation. How organisations implement and manage that information determines the value they achieve.

Why Information Standards Matter More as BIM Evolves

The construction industry has spent years improving model quality, coordination and visualisation.

The next challenge is ensuring that the information within those models remains reliable, accessible and useful beyond the immediate project.

Asset owners may require structured information that supports maintenance, replacement planning and operational decision-making. Facility managers need information they can understand and use long after construction finishes. Contractors and engineers need consistent product information to support procurement, installation and handover.

As a result, the conversation is expanding beyond a simple question:

“Do we have a BIM model?”

Towards a more important one:

“Can we trust the information inside it, and can the right people use it when they need it?”

Without consistent methods for identifying products and exchanging information, organisations risk creating disconnected data silos that limit the long-term value of their BIM investments.

Open standards, appropriate information management and reliable data sources can help reduce these risks.

The objective is not simply to produce more information. It is to make information more useful, consistent and accessible across the different stages of an asset’s life.

What Does This Mean for BIM Teams Today?

For most BIM teams, the growing relationship between product identification standards and openBIM does not mean existing workflows need to change overnight.

Instead, it highlights the importance of thinking beyond geometry, visualisation and model coordination.

BIM professionals are increasingly working in an environment where information quality, interoperability and downstream usability matter alongside technical modelling skills.

It is worth asking a few practical questions about current project workflows:

• How is product information structured within our models?
• Where does that information come from?
• Are product identifiers and specifications consistent with the relevant source information?
• Can information be exchanged reliably between the systems used by project stakeholders?
• Will the information remain accessible and useful throughout the asset lifecycle?
• Can downstream stakeholders use the information without unnecessary re-entry or rework?

These questions are relevant today, regardless of whether a project uses GS1 identifiers or has implemented a specific product-data integration.

Establishing clear information requirements, consistent modelling practices, reliable documentation and appropriate quality checks provides a stronger foundation for future developments.

For BIM teams, the opportunity is to ensure the information being created today can continue to deliver value tomorrow.

What This Means for Project Delivery

A coordinated BIM model is an important part of digital construction, but the model itself is only one component of effective project delivery.

The information behind it also needs to be accurate, consistent, coordinated and suitable for the people who will use it downstream.

For engineers and contractors, this begins with clear design information, coordinated models, consistent properties and reliable construction documentation.

For asset owners and facility managers, it extends to information that remains useful after construction is complete.

At Draftech, this connects directly to the importance of coordinated digital engineering, quality-controlled documentation and practical project information.

Identifying coordination issues early, maintaining consistent information and producing usable documentation can help project teams reduce avoidable rework and make better-informed decisions.

As industry standards and digital workflows continue to evolve, the ability to connect reliable project information with wider product and asset data will become an increasingly important consideration.

The longer-term opportunity is to move towards digital information that does more than represent a building. It can help people understand, manage and maintain the physical assets throughout their lifecycle.

Draftech – Your Project, Our Expertise

At Autodesk University 2026, one message stood out among the technology announcements: Autodesk confirmed that the design, analysis, coordination, and documentation capabilities currently associated with Revit will gradually move into Forma. Revit is not disappearing tomorrow, but Autodesk has made it clear that Forma is becoming the long-term platform for the future of BIM.

For many AEC professionals, particularly those working in MEP, digital engineering, and BIM management, the announcement raises an important question: what does moving to Forma actually mean in practice?

The answer is less about replacing one piece of software with another and more about a shift toward a connected cloud environment where data, workflows, analysis, collaboration, and AI-enabled decision-making work together across the entire project lifecycle.

Autodesk’s Direction Toward Forma:

Traditionally, Revit has been the centre of BIM delivery. Models were created, coordinated, documented, and shared through a combination of desktop applications and connected cloud services.

Autodesk’s vision for Forma is different.

Rather than treating modelling, analysis, collaboration, and project data as separate activities, Autodesk is building Forma as an industry cloud that connects them into a single ecosystem. Revit remains a critical part of that ecosystem today, but Autodesk’s direction suggests that future capabilities will increasingly be developed within the Forma platform.

This aligns with Autodesk’s broader focus on project intelligence, where connected project data provides context for automation, decision support, and AI-driven workflows.

What Does “Moving to Forma” Actually Mean?

For many users, the phrase “Revit will move to Forma” creates concern.

The reality is that organisations will not wake up one morning to discover Revit has vanished.

Instead, Autodesk is expected to continue evolving Revit while progressively delivering more capabilities through cloud-native services within Forma. Over time, functions that traditionally sat inside a desktop application may become part of a connected platform experience.

Think of it as a transition from software-centric BIM to data-centric BIM.

The model remains important, but the greater value comes from connecting, analysing, sharing, and reusing project information throughout planning, design, construction, and operations.

For most firms, the shift is likely to happen gradually through new services, integrations, AI features, and cloud-based workflows rather than through a single disruptive software replacement.

What This Means for MEP and Digital Engineering:

For MEP teams and digital engineering specialists, the implications are significant.

As projects become increasingly data-driven, success will depend on more than producing coordinated models. Firms will need reliable information structures, strong data governance, and workflows that allow project information to move seamlessly between disciplines and platforms.

This creates opportunities to:

• Improve design decision-making earlier in projects.
• Connect engineering information across multiple project stages.
• Reduce manual data handling and duplication.
• Leverage AI and automation using project-specific information.
• Deliver greater value through data rather than geometry alone.

The organisations that benefit most will be those that view BIM as a business process rather than simply a modelling activity.

What Should AEC Businesses Be Doing Now?

The good news is that there is no immediate need for organisations to abandon their existing Revit workflows.

However, this is an ideal time to prepare for where the industry is heading.

AEC businesses should focus on:

• Strengthening BIM standards and data quality. Good data will become increasingly valuable as cloud platforms and AI tools mature.
• Investing in digital engineering capability: The skills required to manage information, workflows, and connected data environments will become more important than ever.
• Exploring cloud-connected workflows: Understanding how information moves between Autodesk Construction Cloud, Forma, and other project platforms will help future-proof delivery processes.
• Building a technology roadmap: Rather than reacting to future changes, firms should evaluate how emerging Autodesk technologies align with their business objectives and project delivery models.

At Draftech, we’ve seen BIM evolve from a drafting and coordination tool into one of the industry’s most valuable sources of project information.

Over the past 25 years, we’ve watched the industry move through:

Drafting → CAD → BIM → Coordination → Digital Delivery → Connected Information

Each stage has changed how projects are designed, coordinated, and delivered. The technology has evolved, and it will continue to evolve.

But the fundamental requirement hasn’t changed.

Projects still need accurate, coordinated, and usable information.

Whether that information is created in CAD, developed in Revit, connected through a Common Data Environment (CDE), exchanged through OpenBIM standards, or increasingly accessed through AI, its value ultimately depends on its quality, reliability, and usability.

The future of BIM may look different. The need for good information doesn’t.

As Autodesk continues its journey toward Forma, the businesses best positioned for success will be those that focus not only on technology, but on the people, processes, and information that underpin successful project delivery.

Draftech – Your Project, Our Expertise

Australia’s Digital Infrastructure Crossroads:

The 2026 Sydney Cloud & Datacentre Convention brought together operators, hyperscalers, engineers, investors and policymakers to examine the pressures shaping Australia’s rapidly expanding digital infrastructure sector. Across two days, speakers highlighted the growing impact of AI on power, cooling, cabling and operational intelligence — and made clear that Australia’s next wave of data‑centre growth will depend on solving several critical bottlenecks.

What emerged was a picture of an industry full of opportunity, but facing constraints that can no longer be ignored.

The Opportunity — And the Warning Signs:

In the opening keynote, Belinda Dennett, Chief Executive Officer of Data Centres Australia, outlined the economic potential of Australia’s data‑centre ecosystem, emphasising that the sector is already delivering substantial national benefits. But she also warned that unlocking the next wave of growth will require “getting the settings right” — a theme echoed throughout the event.

The message was clear: Australia is well‑positioned, but not yet prepared.

Cyre Mercedes Quiñones from Infrastructure Masons reinforced this in her international keynote, arguing that the future of digital infrastructure depends on something the industry cannot engineer — trust. She showed how community confidence, transparent engagement and responsible growth are becoming as essential as power and capital.

This shift — treating trust as a technical requirement — signals a major evolution in how data‑centre projects must be planned and delivered.

The Problems the Industry Can No Longer Ignore:

Across panels and keynotes, several recurring challenges surfaced:

1. Power Constraints

Speakers pointed out that grid limitations in NSW and VIC are slowing development, with operators increasingly exploring secondary markets such as QLD, SA and WA. Power allocation pathways remain slow and unclear, creating uncertainty for long‑term planning.

2. Land & Permitting Delays

Developers and investors discussed zoning challenges, lengthy approvals and community resistance — all of which threaten Australia’s ability to keep pace with global demand.

3. Physical‑Layer Complexity

Panduit’s keynote highlighted how AI is driving unprecedented cabling density, fibre complexity and cooling pressure. Point‑to‑point cabling may work for individual links, but becomes unmanageable at scale. Structured physical‑layer systems are now essential for traceability, staged growth and safe change control.

4. Siloed Operational Systems

The “Intelligent Data Centre” panel made it clear that siloed monitoring across power, cooling, security and operations is no longer viable. Integrated operational intelligence is becoming mandatory for uptime, efficiency and AI‑era complexity.

These issues are not theoretical — they are actively shaping project timelines, investment decisions and construction strategies.

Industry Insights: What Operators and Hyperscalers Are Signalling

The convention revealed several strong industry trends:

AI Is Reshaping Infrastructure Faster Than Expected

AI‑ready architectures are no longer optional. Operators agreed that GPU clusters, high‑density compute and rapid scaling are forcing redesign of:

• power distribution
• cooling systems
• fibre and cabling pathways
• change‑control workflows

Secondary Markets Are Rising

With grid pressure mounting in traditional hubs, operators indicated growing interest in emerging regions where land, power and approvals are more accessible.

Operational Intelligence Is Becoming Non‑Negotiable

Speakers emphasised the need for unified visibility across systems — a shift that favours digital‑engineering‑led delivery and BIM‑to‑operations continuity.

Trust = License to Operate

The industry is moving from “approval” to “confidence.” Community engagement, transparency and responsible growth are now strategic differentiators.

Construction Implications: What Builders and Designers Must Prepare For

The agenda signalled several major shifts for construction and design teams:

1. High‑Density AI Builds Require New Standards

Cooling, power and cabling must be designed for rapid change, higher density and safer traceability. Structured cabling and modular pathways are becoming essential.

2. Modular & Prefabricated Builds Are Accelerating

EPG’s keynote showcased how modular architecture and prefabricated components reduce on‑site labour, streamline logistics and accelerate deployment — a critical advantage in AI‑driven timelines.

3. Digital Engineering Is Now Central

Construction teams must deliver not just physical assets, but operationally intelligent facilities. Integrated models, coordinated systems and data‑driven commissioning are becoming baseline expectations.

4. Earlier Community & Regulatory Engagement

Trust frameworks mean construction teams must engage earlier, communicate more clearly and demonstrate sustainability and responsibility throughout the project lifecycle.

Future Direction: Where Australia’s Data‑Centre Sector Is Heading

The convention pointed toward several future developments:

• Modular, AI‑optimised facilities will dominate new builds.
• Unified operational platforms will replace siloed systems.
• Secondary markets will absorb more growth as grid pressure increases.
• Community confidence will become a core project requirement.
• Physical‑layer redesign will be essential for density, safety and scalability.

Australia’s digital infrastructure future is bright — but only if the industry adapts quickly.

Further details

Draftech – Your Project, Our Expertise

Brisbane’s RNA Showgrounds are entering one of the most significant redevelopment phases in their 150‑year history. What has long been the home of the Ekka is now becoming a centrepiece of the Brisbane 2032 Olympic and Paralympic Games — and a catalyst for long‑term urban renewal in Bowen Hills.

This isn’t just a stadium upgrade. It’s a complete rethinking of how the precinct will function for events, athletes, residents, and the broader city for decades to come.

 What’s Actually Happening at the RNA Showgrounds?

The Queensland Government has committed $287.5 million to transform the Showgrounds ahead of Brisbane 2032, with works beginning immediately after the 150th Ekka 2026.

Key upgrades include:

• A full redevelopment of the 20,000‑seat Main Arena — new event infrastructure, improved accessibility, and modernised facilities.
• Demolition and replacement of Machinery Hill, creating a larger, contemporary grandstand.
• A new multi‑storey horse pavilion, replacing ageing stables and supporting year‑round equestrian events.
• Restoration of heritage-listed grandstands, including the Ernest Baynes and John MacDonald stands.
• New Exhibition Station platforms for Cross River Rail, supporting nine‑car trains and improving precinct access.

Construction is being delivered by Hutchinson Builders, who have a century‑long history with the precinct — their founder built the Ernest Baynes Stand in 1922–23.

 Why Is This Such a Big Deal for Brisbane?

The Showgrounds redevelopment is part of the Government’s $3.5 billion athlete villages program for Brisbane 2032.

This project matters because it:

• Anchors the northern Olympic precinct, alongside Victoria Park Stadium and Cross River Rail upgrades.
• Strengthens Brisbane’s events capability, enabling concerts, exhibitions, and sporting events for more than 30,000 people.
• Supports long-term housing supply, with the Athletes Village converting into approximately 1,800 new apartments post‑Games.
• Preserves the Ekka’s cultural legacy, ensuring it remains at Bowen Hills for another 150 years.

This is not just an Olympic project — it’s a generational infrastructure investment reshaping one of Brisbane’s fastest‑growing mixed‑use precincts.

 Building While the Showgrounds Keep Operating

One of the most remarkable aspects of this redevelopment is that the Ekka will continue to operate during construction, with 2032 being the only year it won’t be held on-site.

This creates a uniquely complex delivery environment:

• Demolition and construction must occur in tight windows immediately after each Ekka.
• Heavy lifting, traffic management, and temporary works must be coordinated around a live events precinct.
• Heritage structures, public interfaces, and animal facilities must remain protected and functional.
• Contractors must manage constrained inner‑city logistics, including plant movements, laydown areas, and workforce access.

This is not a greenfield project — it’s a major transformation happening inside a precinct that never really stops.

 Why Coordination Will Matter More Than Ever

Delivering this project requires unprecedented coordination between:

• Government agencies
• The RNA
• Hutchinson Builders and subcontractors
• Cross River Rail and nearby precinct works
• Event operators and community stakeholders

Reliable, shared data will be essential. The Showgrounds redevelopment involves:

• Multiple overlapping construction packages
• Heritage restoration
• Transport integration
• Event scheduling constraints
• Olympic delivery milestones

This is exactly the kind of environment where digital engineering, BIM, and coordinated information flows become critical — not just for construction, but for long-term operations and precinct management.

 What Happens After 2032?

After the Olympic and Paralympic Games, the Brisbane Athletes Village will be repurposed into a mixed‑use residential precinct, adding new housing and community infrastructure to Bowen Hills.

Post‑Games legacy includes:

• 1,800+ permanent apartments (build‑to‑rent and build‑to‑sell).
• A revitalised Main Arena capable of hosting major events year‑round.
• Expanded commercial and entertainment offerings, building on the success of King Street.
• Improved transport connectivity through Cross River Rail’s Exhibition Station.
• A precinct designed for community life, not just annual events.

In other words: the Showgrounds will evolve from a once‑a‑year destination into one of Brisbane’s most important inner‑city neighbourhoods.

From the Ekka to the Olympics and beyond, the Showgrounds are becoming a showcase of how Brisbane can honour its heritage while building a modern, connected, digitally enabled future.

For more information, check out the Delivering 2032 website.

Draftech – Your Project, Our Expertise

Australia is entering one of the most significant infrastructure booms in its history — and unlike past cycles driven by mining or housing, this one is powered by AI, cloud computing, and the race for digital sovereignty. The country is rapidly becoming one of the world’s most attractive destinations for hyperscale data‑centre investment, and the scale of what’s coming is unlike anything the construction sector has ever faced.

This is Australia’s data‑centre gold rush — and the starting gun has already fired.

Why Is Australia Experiencing a Data‑Centre Gold Rush?

Three forces are converging:

• Exploding AI and cloud demand: Industry leaders describe Australia as “fertile land” for hundreds of new data‑centre campuses, driven by global AI infrastructure needs and the country’s strategic position in the Asia‑Pacific region.
• Government acceleration: The Albanese Government is actively streamlining approvals for high‑standard, sustainable data‑centre projects — a move industry analysts interpret as the official “starting gun” for the boom.
• Global investment momentum: Australia ranked second globally for data‑centre investment in 2024, attracting US$6.7 billion and rapidly expanding its pipeline to more than 300 assets and 14.8GW of capacity.

The message from industry, government and investors is consistent: Demand is not the problem. Delivery is. Australia’s ability to build fast enough will determine how much of this boom it captures.

How Big Is the Opportunity?

The numbers are staggering:

• Global data‑centre investment is projected to reach US$4 trillion by 2030.
• Australia already hosts 278+ data centres, ranking among the top 10 nations worldwide.
• NSW and Victoria alone have seen $300 billion in private capital investment over the past 12 months — surpassing the peak of the mining boom.
• The pipeline includes 100+ new hubs planned or in development nationwide, with the majority concentrated in Sydney and Melbourne.

Economists are calling this the largest economic lift since the railroad boom of the 1880s–1890s, with data‑centre construction now representing 2.4% of global GDP — larger than the 1950s highway boom or the electrification surge of the 1930s.

This is not incremental growth. This is a generational shift in Australia’s economic base.

Where Is Australia’s Data‑Centre Boom Happening?

Sydney & Melbourne: The Epicentres

Australia’s boom is overwhelmingly concentrated in western Sydney and outer‑metro Melbourne, where land availability and grid access align.

Key insights:

• More than 160 existing facilities are already spread across every state, with 100 more planned — most in Sydney and Melbourne.
• Melbourne is on track to overtake Sydney, with 30 new centres in the pipeline and mega‑projects in Plumpton, Laverton North, Footscray and Cobblebank.
• Sydney’s west is home to the largest data‑centre campus in the Southern Hemisphere — a 504MW CDC facility in Marsden Park, approved at $3.1 billion.

Queensland rising:

Queensland is beginning to establish its place in Australia’s data‑centre landscape, with Brisbane emerging as a credible northern hub. Five major projects are now underway or in development, signalling that the state is moving beyond early interest and into genuine market formation.

What sets Queensland apart is the strategic nature of its growth. Rather than competing with the hyperscale concentration in Sydney and Melbourne, Brisbane is positioning itself as a complementary node — one that supports the state’s strengths in mining, logistics, defence and advanced manufacturing. As these sectors adopt AI at scale, demand for local, high‑reliability compute will only increase.

Coupled with Queensland’s investment in renewable energy zones and digital capability, the projects underway today could form the backbone of a broader northern network. The scale may not yet match NSW or Victoria, but the direction is clear: Queensland’s data‑centre market is accelerating, and its role in Australia’s digital future is becoming harder to ignore.

 National Spread:

While the mega‑hubs cluster around power infrastructure, every state is seeing activity — a sign of how deeply AI and cloud demand is reshaping Australia’s digital footprint.

The Projects That Show Just How Big This Could Become

• Plumpton (VIC) — 350 hectares, 2.4GW capacity, enough to power up to 2.5 million homes.
• Marsden Park (NSW) — 504MW CDC campus, the largest in the Southern Hemisphere.
• Port Melbourne (VIC) — NEXTDC’s $2 billion campus on a former newspaper press site.
• Footscray (VIC) — NEXTDC M3 expansion to four times its current size.
• Cobblebank (VIC) — AWS’s new 13.4‑hectare site for a $50 million facility.
• Erskine Park, Fairfield, Penrith, Bella Vista, Kemps Creek, Blacktown, Ryde, Lane Cove (NSW) — a cluster of major projects awaiting approval or already green‑lit.
• Western Downs Digital Park (QLD) — $31.9B, 725ha, 1.44GW hyperscale campus — set to become Australia’s largest data‑centre precinct.
• Kogan / Western Downs Regional Queensland (QLD) — $31.9B hyperscale facility proposed north‑west of Brisbane.

These aren’t incremental builds — they’re city‑scale digital precincts.

Why Data Centres Are Different from Normal Construction Projects

Data centres are:

• MEP‑heavy ecosystems, not traditional buildings — electrical, cooling and power systems dominate the design and coordination load.
• Zero‑tolerance environments — even minor misalignments can delay commissioning or disrupt airflow, with massive financial consequences.
• Aggressively fast‑tracked — every day of delay carries penalties, and commissioning depends on precise documentation and sequencing.
• Mission‑critical infrastructure — they must operate continuously, with redundancy, security and reliability baked into every decision.
• Energy‑intensive — requiring dedicated substations, advanced cooling, and enormous water volumes (up to 40 million litres daily for some centres).

This is why BIM‑led coordination, defensible workflows, and integrated digital delivery are becoming non‑negotiable.

Australia’s Opportunity — If We Get the Balance Right

Australia has only a narrow window — just two to three years — to secure its place as a global hub for AI infrastructure. The momentum is here, the investment appetite is strong, and the demand for hyperscale capacity is accelerating faster than traditional delivery models can keep up. But the path forward isn’t guaranteed.

Australia is already grappling with the pressure points that could slow the boom: grid connection delays, planning bottlenecks, and growing community concerns around water use and energy consumption.

At the same time, the industry faces a shortage of specialised skills in commissioning, controls, and power systems — the very capabilities that determine whether a data centre can be delivered, certified, and brought online at speed. Add to that the uncertainty surrounding the emerging Hosting Certification Framework*, and it’s clear that Australia’s advantage depends on how quickly and confidently these challenges are addressed.

If Australia can strike the right balance — faster approvals, smarter sustainability measures, stronger grid investment, and more predictable delivery pathways — it has a genuine opportunity to become the Asia‑Pacific’s digital backbone. If not, the investment and the jobs will simply flow to markets that can.

The teams who thrive in this new era will be those who treat digital delivery as a discipline, not an add‑on. They will rely on coordinated BIM workflows that keep every trade aligned, data‑driven processes that remove ambiguity, and defensible decision‑making that stands up to the scrutiny of fast‑tracked, high‑stakes projects. They will build with accuracy, clarity and pace — not just to meet demand, but to stay ahead of it.

Because the future of digital infrastructure won’t be won by building more. It will be won by building smarter.

Draftech – Your Project, Our Expertise

* The Hosting Certification Framework (HCF) ensures Australian Government data is stored with strong privacy, sovereignty, and security controls. It operationalises the Whole‑of‑Government Hosting Strategy and supports the Protective Security Policy Framework (PSPF) and Information Security Manual (ISM).