Original Article: 24 July 2026
Tarnia Riggs
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Artificial intelligence (AI) is transforming the global economy, but behind every AI chatbot, image generator and large language model is an enormous amount of physical infrastructure. AI does not exist solely in the cloud—it runs inside vast data centres filled with thousands of high-performance computer processors that consume extraordinary amounts of electricity.
Around the world, governments, electricity providers and infrastructure planners are facing a new challenge: how do you support a rapidly growing AI industry without placing additional costs and reliability risks on existing electricity consumers?
In Australia, policymakers are increasingly signalling that the largest AI data centres should “bring their own power.” Rather than simply connecting to the existing electricity grid and relying on spare capacity that often does not exist, developers are being encouraged—or required—to fund new electricity generation, batteries, transmission upgrades or long-term renewable energy contracts to offset their demand.
This approach is not about discouraging investment. Australia wants AI investment. Governments recognise the significant economic benefits that data centres bring through construction, technology investment and high-skilled employment. However, they also recognise that Australia’s electricity system is already undergoing one of the biggest transformations in its history as ageing coal-fired power stations retire and renewable energy replaces traditional generation.
At the same time, communities are beginning to ask questions that extend well beyond electricity. Residents want to know how proposed data centres will affect local neighbourhoods, whether cooling systems create continuous noise, how much water facilities require, whether diesel backup generators affect air quality, and why industrial-scale infrastructure is increasingly appearing near residential areas.
These questions highlight an important reality: AI infrastructure is no longer simply a technology story. It is an energy story, an infrastructure story, an environmental story and increasingly, a stakeholder engagement story.
This article explains why governments are asking AI data centres to provide their own power, what that actually means in practice, how it fits within Australia’s broader energy transition, and why successful AI projects will increasingly depend on meaningful engagement with the communities that host them.
Artificial intelligence has quickly become one of the defining technologies of the twenty-first century.
Whether people are using ChatGPT to draft reports, generating images with AI, analysing medical data, automating business processes or searching the internet, most users never stop to consider what makes these systems work. AI often feels invisible. Questions are typed into a browser, answers appear within seconds, and the process seems almost effortless.
In reality, every AI interaction depends on an enormous physical network of servers, processors, storage systems, cooling equipment and electricity infrastructure located inside highly specialised facilities known as data centres. These facilities are rapidly becoming one of the fastest-growing sources of electricity demand worldwide. Unlike traditional office buildings, which typically experience fluctuating energy demand throughout the day, AI data centres operate continuously. Servers cannot simply be switched off overnight. Computing equipment runs 24 hours a day, seven days a week, while sophisticated cooling systems work constantly to prevent overheating.
The latest generation of AI facilities is significantly larger than previous generations of cloud computing infrastructure. Instead of requiring tens of megawatts of electricity, many proposed AI campuses require hundreds of megawatts. Some of the largest projects announced internationally exceed one gigawatt (1,000 megawatts) of demand—roughly equivalent to the electricity consumption of a medium-sized city. This extraordinary growth is reshaping electricity planning around the world, and for decades, electricity demand forecasts were relatively predictable. Population growth, industrial development and economic activity generally followed gradual trends that allowed utilities to plan years in advance.
The use of AI has changed those assumptions; instead of thousands of small electricity users, network planners are now receiving connection applications from individual facilities that may require as much electricity as entire regional centres, and this presents a fundamental question:
Who should pay for the new infrastructure?
Should existing households and businesses effectively subsidise massive new industrial electricity users through shared network upgrades? Or should the companies building AI infrastructure contribute directly to the additional generation and transmission capacity their facilities require?  Increasingly, governments are choosing the latter.
The relationship between artificial intelligence and electricity is straightforward: more computing requires more power. Training modern AI models involves processing unimaginably large datasets using thousands of graphics processing units (GPUs) operating simultaneously. Once trained, those models continue serving millions of user requests every day; every prompt entered into an AI application requires computation, and one prompt is insignificant; however, one billion prompts are not. Although individual AI interactions consume relatively small amounts of electricity, the cumulative demand becomes substantial when multiplied across hundreds of millions of users worldwide, and the rapid expansion of cloud computing has already increased electricity demand over the past decade. AI has accelerated that trend dramatically.
Global technology companies including Microsoft, Google, Amazon, Meta and OpenAI are investing tens of billions of dollars in new AI infrastructure. Similar investment is now occurring in Australia, where demand for sovereign computing capability, cloud services and AI processing continues to grow. Unlike many previous waves of digital transformation, AI infrastructure cannot simply be built anywhere electricity happens to be available; large facilities require reliable high-voltage grid connections, substantial telecommunications infrastructure, secure water supplies in some locations, suitable planning approvals and proximity to major population or business centres and finding locations that satisfy all these requirements is becoming increasingly difficult.
Understanding why governments are asking AI data centres to provide their own electricity first requires understanding what Australia’s electricity system is already managing. Australia is experiencing one of the most significant energy transitions in its history, with many coal-fired power stations that have supplied electricity for decades approaching retirement. These plants are progressively being replaced by renewable energy generation, batteries, pumped hydro storage, and new transmission infrastructure; at the same time, electricity demand is increasing from multiple directions: households are replacing gas appliances with electric alternatives, and electric vehicles are becoming more common, industry is electrifying manufacturing processes, and mining companies are reducing diesel consumption. New renewable energy zones require transmission infrastructure, and the population continues growing; now AI data centres are adding another major source of demand. Each of these developments is positive in isolation. Together, they create a far more complex planning challenge than Australia’s electricity system has previously experienced.
Building new electricity infrastructure takes time, and the planning approvals can take years. Transmission projects often require extensive environmental assessment and community consultation. Large-scale renewable energy projects require grid connections, land acquisition and construction work, and none of these processes can occur overnight. Consequently, electricity planners are increasingly asking whether it is appropriate for entirely new industrial loads to rely on infrastructure that is already under significant pressure.
The phrase “bring your own power” can sound misleading. It does not mean every AI data centre must build its own power station immediately adjacent to its facility; instead, it reflects a broader policy principle. If a new development creates substantial additional electricity demand, it should contribute towards creating the new electricity supply required to support that demand and this contribution can take many forms, a developer may:
enter long-term renewable electricity purchase agreements that support new solar or wind farms
invest directly in battery energy storage systems
finance new transmission infrastructure
develop firming capacity that improves grid reliability
coordinate demand management during peak periods
construct dedicated electricity generation where appropriate.
The objective is relatively simple: rather than consuming electricity that existing consumers were already relying upon, large new industrial developments help expand overall system capacity; this benefits everyone, as electricity reliability improves, investment certainty increases, the energy transition accelerates, and existing customers are less likely to shoulder the costs associated with major new industrial demand. This approach also provides greater confidence for electricity planners. Instead of reacting after demand has already materialised, governments can coordinate new generation, storage, transmission and industrial development as part of an integrated planning process.
From an economic perspective, AI data centres represent both an enormous opportunity and an enormous infrastructure challenge. On one hand, governments want to attract investment, and data centres create billions of dollars in construction activity; they support high-skilled engineering, cybersecurity and technology employment, attract digital industries, improve national computing capability, and strengthen sovereign digital infrastructure. On the other hand, electricity infrastructure is expensive; transmission lines cost billions, and large batteries require significant capital investment. Renewable energy projects require financing. If governments allowed unlimited new electricity demand without requiring corresponding investment, existing consumers could ultimately face higher network costs or reduced reliability, requiring large users to contribute to infrastructure to align costs more closely with the demand they create; this follows a principle that already exists across many infrastructure sectors.
Major residential developments often contribute to roads, industrial projects fund intersections, and mining developments build rail infrastructure, and ports contribute to shipping channels. Large electricity users contribute to electricity infrastructure for the same reason.
One of the biggest misconceptions surrounding recent government announcements is that every new AI data centre will need to build its own power station beside the facility, and that is almost never the case. Instead, “bring your own power” refers to ensuring that the electricity consumed by a major new development is matched by new investment in electricity supply or supporting infrastructure.
Think of it this way: imagine a new housing estate planned for 20,000 residents. Governments would not expect those homes to rely on roads built for a village of 500 people. New roads, traffic lights, water pipes, sewer infrastructure and public transport would all be planned alongside the development; well, electricity works in much the same way. If a new AI data centre requires hundreds of megawatts of electricity, planners increasingly expect developers to contribute towards the additional infrastructure needed to supply that demand; exactly how they do this varies between projects.
One of the most common approaches is through long-term Power Purchase Agreements (PPAs); rather than purchasing electricity from the wholesale market day by day, data centre operators sign contracts—often lasting 10 to 20 years—with renewable energy generators. These agreements provide financial certainty for developers building new solar farms or wind farms, because the electricity buyer is already committed to purchasing the energy over many years; financing new renewable generation becomes considerably easier and, in effect, the data centre is helping create new electricity generation rather than simply competing for existing supply. This has become increasingly common among major global technology companies like Microsoft, Google, Amazon and Meta, which have collectively invested in or contracted thousands of megawatts of renewable electricity around the world, and Australian operators are increasingly following the same approach.
Renewable energy alone cannot solve every challenge; solar generation peaks during the middle of the day, and wind generation varies with weather conditions. Meanwhile, AI data centres operate continuously. This is where battery energy storage systems become increasingly important; large batteries store electricity when renewable generation is abundant and release it when demand exceeds supply. They improve reliability while reducing dependence on fossil fuel generation during peak demand periods, and some data centre operators are beginning to include batteries within their own developments, and others invest in regional battery projects that strengthen the surrounding electricity network; either approach contributes additional flexibility to the electricity system.
Renewable energy is often described as “variable”; the sun does not always shine, the wind does not always blow, and the electricity systems therefore require resources capable of responding when renewable generation falls. This process is known as firming and firming can come from several sources:
Battery storage
Pumped hydro
Flexible gas generation
Demand response programs
Future technologies such as green hydrogen
While gas remains politically contentious, some jurisdictions continue to regard flexible gas generation as an important transition technology where renewable firming alternatives are not yet sufficient. The specific mix differs between states and countries, and the important point is that reliable electricity systems require more than just generation—they require generation that can meet demand whenever consumers need electricity.
Generating electricity is only half the equation; it also needs to be transported. Australia’s electricity transmission network was largely designed around large coal-fired power stations located near coal mines, whilst renewable energy is different; excellent wind resources often occur hundreds of kilometres from major cities, and solar farms are commonly built in regional areas.
Renewable Energy Zones (REZs) are specifically designed to concentrate new renewable generation where natural resources are strongest. That electricity then requires entirely new transmission lines to deliver it to homes, businesses and industry. Large AI data centres increase demand for those transmission investments. Rather than simply connecting wherever spare capacity exists, governments increasingly expect developers to participate in the cost of strengthening the broader electricity network.
Electricity demand is not constant throughout the day; morning peaks occur as households wake up, and evening peaks occur when people return home, cook dinner and use heating or air conditioning, whilst some industrial facilities can reduce electricity consumption during these peak periods in exchange for financial incentives. This practice is known as demand management or demand response.  AI data centres have traditionally been viewed as inflexible because computing workloads operate continuously. However, advances in software are beginning to allow some non-critical processing tasks to be shifted to periods when renewable electricity is abundant, or electricity prices are lower. Although AI facilities will always require significant continuous power, smarter demand management is becoming another tool for improving overall grid efficiency.
It is a reasonable question, as Australia already has an electricity grid, and why can’t data centres simply connect like everyone else? The answer lies in scale: a suburban shopping centre might require several megawatts, a hospital may require tens of megawatts, and large AI data centres can require hundreds of megawatts. Some proposed international campuses are seeking electricity supplies exceeding one gigawatt and to put that into perspective:
100 MW can power tens of thousands of homes.
300 MW approaches the electricity demand of a regional city.
1 GW is comparable to the output of a large power station.
Very few electricity networks maintain hundreds of megawatts of unused spare capacity, providing this level of supply often requires:
new substations
upgraded transmission lines
additional transformers
increased generation
new protection systems
long-term network planning.
These investments take years; waiting until after a project has been approved creates significant risks for both electricity reliability and future investment.
For decades, electricity planners forecast demand using relatively stable trends, population and Economic growth, seasonal weather, and industrial development. AI introduces a very different pattern; instead of gradual increases across thousands of customers, planners may suddenly receive applications from several individual projects, each requiring hundreds of megawatts. That fundamentally changes long-term planning. Instead of asking:
“How much electricity will this city need in 2040?”
Planners are increasingly asking:
“Can our network support three new AI campuses requiring nearly a gigawatt of additional electricity?”
Those are very different questions.
Many people still picture data centres as little more than large warehouses filled with computers. Modern AI campuses are far more complex and construction often includes:
high-voltage substations
multiple backup electricity systems
kilometres of underground services
sophisticated cooling infrastructure
advanced fire suppression systems
telecommunications infrastructure
security systems
water management systems
mechanical cooling equipment.
From a planning perspective, these facilities increasingly resemble major industrial developments. They involve hundreds of construction workers, large volumes of concrete and steel, heavy vehicle movements, and complex environmental approvals and years of planning. Like airports, hospitals or power stations, they become significant pieces of public infrastructure.
As more AI facilities are proposed, community concerns are also increasing. Importantly, these concerns are rarely about artificial intelligence itself. Instead, they relate to the physical infrastructure required to support it.
Perhaps the most common concern is continuous cooling noise, and unlike conventional office buildings, data centres generate enormous amounts of heat. Thousands of computer processors operating simultaneously produce significant thermal energy; that heat must be removed continuously. Large cooling systems often include:
industrial fans
cooling towers
chillers
pumps
ventilation systems.
Unlike construction noise, cooling systems may operate twenty-four hours a day. Although modern facilities are designed to meet strict noise standards, residents often remain concerned about cumulative impacts—particularly where facilities are located close to existing neighbourhoods and noise assessments therefore become an important component of planning approvals.
Another common concern involves emergency backup generators, with electricity reliability absolutely critical for AI facilities and even brief outages can interrupt services relied upon by businesses, governments and consumers. Consequently, most data centres include large diesel generators capable of operating during power failures, as these generators are generally used only for testing and emergencies. Nevertheless, residents often ask questions about:
air quality
emissions
fuel storage
operating hours
emergency testing.
Providing clear information early helps address many misconceptions before they escalate.
Cooling servers requires removing large amounts of heat; some facilities use air cooling, whilst others use water-based cooling. Some employ hybrid systems. The amount of water required depends on:
climate
cooling technology
facility size
operational design.
As Australia becomes increasingly affected by drought and water scarcity, communities understandably want to know whether proposed facilities will compete with residential water supplies. This issue is receiving increasing attention globally. Newer cooling technologies are continually improving efficiency, but water management remains an important consideration during planning.
Data centres are not particularly attractive buildings; many resemble enormous windowless warehouses. Although landscaping and architectural treatments can improve appearance, communities often express concern about:
industrial character
building height
lighting
screening
visual bulk
compatibility with surrounding land uses.
Design quality is becoming an increasingly important part of obtaining community acceptance.
Like every major infrastructure project, construction creates temporary disruption.
Heavy vehicles.
Concrete deliveries.
Oversized equipment.
Road closures.
Temporary noise.
Dust.
Traffic management.
Most communities accept construction as part of development—but only when impacts are well managed and communicated. Poor communication often creates more frustration than the disruption itself.
At first glance, AI data centres appear to be a technology issue, as we look a little closer, however, and they begin to resemble every other major infrastructure project Australia has delivered over the past two decades. Whether it is a renewable energy project, transmission line, water treatment plant, major road, railway or industrial facility, communities generally ask the same questions:
Why here?
How will this affect me?
What are the benefits?
What are the impacts?
How will concerns be managed?
Who do I contact if something goes wrong?
These are not engineering questions, they are stakeholder engagement questions and one of the biggest lessons from Australia’s renewable energy transition is that technical excellence alone is no longer enough to guarantee project success. A project may satisfy every engineering requirement and still face delays if communities feel they have not been listened to. Conversely, projects that engage early, communicate openly and genuinely respond to community concerns are often better positioned to build trust and maintain their social licence to operate. AI data centres are rapidly entering this same environment.
For engineers, a data centre might be defined by:
processing capacity
electrical demand
cooling efficiency
network redundancy
uptime requirements.
Communities rarely think this way; instead, residents tend to focus on everyday questions.
Will I hear the cooling fans at night?
Will construction affect traffic?
Will this increase electricity prices?
Will there be more diesel generators operating nearby?
Does it affect my property value?
Will local businesses benefit?
Will local people get jobs?
These questions are not irrational; they reflect how people experience infrastructure in their daily lives. Technical reports alone rarely answer these concerns. This is where effective communication becomes essential.
Australia’s renewable energy sector has demonstrated that community acceptance cannot be treated as an afterthought. Some renewable energy projects have enjoyed strong local support because developers invested heavily in community engagement, local procurement and transparent communication. Others have experienced significant opposition where communities felt decisions had already been made before consultation began.
Data centres are likely to face many of the same expectations. Developers who engage only after designs have been finalised may find conversations becoming more difficult. Those who involve communities early, explain project benefits honestly and acknowledge legitimate concerns are more likely to establish long-term trust. This is increasingly referred to as maintaining a social licence to operate. Although social licence has no formal legal definition, it reflects something extremely important:Â
A project can receive planning approval yet still struggle if community confidence is lost.
One of the most effective ways to build trust is through transparency. Communities generally understand that major infrastructure creates some level of disruption; what they dislike is uncertainty. Clear communication about issues such as:
construction timing
expected noise
traffic management
environmental monitoring
emergency planning
complaint processes
operational hours
helps reduce speculation before misinformation spreads. This is particularly important for AI infrastructure because many people have never lived near a large data centre before. Providing factual, accessible information in plain English allows communities to understand what is actually proposed rather than relying on assumptions.
Electricity may receive the headlines, but successful AI infrastructure depends on multiple interconnected systems working together. Future planning increasingly requires coordination across:
electricity generation
transmission networks
telecommunications
water infrastructure
transport access
planning approvals
environmental management
emergency services
workforce availability
community engagement.
No single agency manages all of these issues independently. Instead, governments, network operators, developers, councils and communities must work together throughout the planning process. This integrated approach is becoming increasingly important as AI investment accelerates.
Australia is well positioned to become a significant destination for AI infrastructure. Several advantages support this potential.
Australia possesses some of the world’s best solar and wind resources. As renewable generation continues expanding, data centres can increasingly be powered by low-emissions electricity supported by batteries and firming technologies. This is attractive for global technology companies seeking to reduce their carbon footprints.Â
Large infrastructure investments require certainty, whilst Australia offers relatively stable political institutions, established planning systems and mature electricity markets. Although approvals can take time, investors generally value predictable regulatory environments.
Australia already has strong expertise across:
engineering
construction
electricity markets
telecommunications
project management
environmental assessment
stakeholder engagement.
These capabilities position Australia well to support continued digital infrastructure investment.
Australia also offers an opportunity to strengthen sovereign digital capability. As governments and businesses increasingly rely on AI, storing and processing information domestically becomes increasingly important for resilience, cybersecurity and national security. Modern data centres therefore represent more than commercial investments. They are becoming critical national infrastructure.
Despite these opportunities, several challenges remain; electricity infrastructure takes years to build. Transmission projects continue to face complex planning processes. Competition for skilled workers is increasing. Water availability remains important in some regions. Community expectations continue evolving. Meanwhile, AI technology itself continues changing at extraordinary speed. Planning systems that traditionally considered infrastructure over decades are now responding to technologies evolving almost annually.
Finding the right balance between encouraging investment and protecting communities will remain one of the defining infrastructure challenges of the coming decade.
Artificial intelligence is still in its early stages. The data centres being built today are unlikely to represent the largest facilities Australia will eventually require. Future campuses may consume significantly more electricity while becoming increasingly integrated with renewable energy, battery storage and smart electricity management systems. Rather than viewing AI infrastructure as separate from Australia’s energy transition, it is more accurate to see it as another major driver accelerating investment in cleaner, smarter and more resilient electricity networks. Governments are therefore not simply asking developers to “bring their own power.” They are asking them to become active participants in building Australia’s future electricity system.
Artificial intelligence may be powered by algorithms, but it depends on very real infrastructure. Behind every AI-generated image, automated business process or chatbot conversation sits an enormous network of electricity generation, transmission lines, substations, cooling systems and data centres working around the clock.
As demand for AI continues growing, governments face the challenge of encouraging investment while ensuring households and existing businesses are not left funding the infrastructure required by some of the world’s largest electricity users. That is why the concept of “bring your own power” is gaining momentum. It is not about preventing data centres from being built; it is about ensuring growth occurs responsibly, and for Australia, this presents a significant opportunity. With world-class renewable energy resources, an experienced infrastructure sector and a growing digital economy, Australia has the potential to become a leading destination for sustainable AI infrastructure. Success, however, will depend on more than engineering. It will require thoughtful planning, coordinated investment, transparent decision-making and meaningful engagement with the communities that will host these facilities.
The future of artificial intelligence will not be determined solely by advances in computing. It will also be shaped by the strength, resilience and sustainability of the infrastructure that powers it.
AI data centres are among the fastest-growing sources of electricity demand globally.
Large AI facilities can consume as much electricity as a regional city.
Australia’s electricity grid is already managing the transition away from ageing coal-fired generation while accommodating increasing electrification.
Governments are increasingly asking major AI developments to contribute to new electricity generation, batteries or transmission infrastructure rather than relying solely on existing networks.
“Bring your own power” does not necessarily mean building a power station onsite—it means supporting additional electricity capacity.
Data centres raise community concerns including noise, water use, backup generators, traffic and visual impacts.
Effective stakeholder engagement is becoming just as important as engineering in delivering successful AI infrastructure projects.
Australia’s renewable energy resources position the country well to support sustainable AI growth, provided investment is matched by appropriate infrastructure planning.
Written by Tarnia Riggs.
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