Policy & Regulation

APDCA launches a 10-step playbook for data centre policy

APDCA's new 10-step playbook asks Asia-Pacific governments to coordinate investment, infrastructure, skills and public confidence as AI and cloud demand grow.

APDCA launches playbook for data centre policymakers
APDCA launches playbook for data centre policymakersblickpixel / pixabay
By Sophie Lindqvist5 min read

Why it matters

  • APDCA released a white paper with 10 policy steps for Asia-Pacific governments.
  • The framework has three pillars: Plan, Provision and Partner.
  • Each of the 10 steps includes practical examples and questions for local priorities.
  • The paper covers power, water, land, connectivity, investment, skills and public confidence.
  • APDCA says the framework can fit three market stages: basic conditions, rapid expansion and long-term outcomes.

By Sophie Lindqvist

The Asia-Pacific Data Centre Association has released a white paper setting out 10 policy steps for governments supporting data centre investment across the Asia-Pacific region. Titled “Maximising the Data Centre Opportunity - A Playbook for Policymakers”, the document groups those steps into three pillars—Plan, Provision and Partner—and targets power, water, land, connectivity, predictable investment settings, skills and public confidence.

APDCA says these issues have become more prominent as countries pursue artificial intelligence and broader digital economy programmes. Demand for cloud services, digital platforms and AI-related computing has made data centres a more visible policy issue in several Asia-Pacific markets, according to the association.

APDCA’s account makes the paper immediately relevant. Governments must coordinate several resource decisions while companies need predictable settings for investment.

What does the playbook ask governments to do?

The playbook’s three-pillar structure turns a broad infrastructure problem into a set of government choices. Under its headings, the association says policymakers can consider investment conditions alongside pressure on infrastructure and resources.

Its 10 steps sit within this framework. According to APDCA, each step includes practical examples and questions that help policymakers assess local priorities.

  • Plan: Build evidence and coordinate policy so governments can prepare for data centre demand before it materialises.
  • Provision: Simplify approval processes, strengthen infrastructure reliability and set policy conditions that support investment.
  • Partner: Cooperate among governments, industry and communities, with attention to skills, trust and longer-term economic value.

The paper draws on APDCA members’ experience and policy approaches used in Asia-Pacific and other markets. Jeremy Deutsch, Chair of APDCA, said the document responded to government requests for more practical guidance.

“Governments across the region have told us they want practical examples, not just principles. This playbook is our response: ten policy steps across Plan, Provision and Partner, drawn from the experience of operators that build and run data centres in many markets.

We look forward to working with governments to apply it, so that data centre growth delivers lasting benefits for economies and communities,”

This shifts the paper’s centre of gravity from general principles toward repeatable steps. It also gives governments a way to compare infrastructure needs with approval design, workforce planning and community concerns.

The order matters because planning evidence can inform approvals and infrastructure, while operational and community concerns can shape later investment decisions. APDCA presents the pillars as connected parts of one process rather than separate policy files. In plain terms, the playbook asks governments to plan capacity, make it buildable and keep industry and communities involved.

Why has data centre policy become more urgent?

APDCA attributes the issue to growth in demand for cloud services, digital platforms and AI-related computing. As that demand has risen, governments in several regional markets have had to decide how to allocate land, secure energy supplies, plan water use and expand connectivity.

The paper argues that early policy choices can influence where data centre projects get built. Those choices can also shape the scale of the economic and social effects that follow, APDCA says.

The association gives particular weight to anticipating future demand. It also calls for governments to coordinate energy and water infrastructure with digital infrastructure, rather than treating the systems as separate planning exercises.

That makes the policy stakes broader than data centre permitting. A government can attract investment while also creating pressure on resources, and the playbook treats those outcomes as connected decisions. The practical stakes are physical: data centres need land, energy, water and connections that public authorities must plan and allocate.

How can the framework fit different markets?

APDCA says the framework can adapt to markets at different stages of development. Its suggested uses fall into three broad cases:

  • Markets trying to establish basic conditions for investment.
  • Markets managing rapid data centre expansion.
  • Markets seeking better long-term outcomes.

That flexibility comes from the paper’s format. Rather than relying only on principles, each of the 10 steps supplies examples and questions for testing local priorities. A policymaker can use those prompts to identify which constraint matters most at a given stage.

Under Plan, the paper asks governments to build evidence and coordinate policy before demand arrives. It presents this preparation as a way to align infrastructure and investment decisions ahead of expansion.

Provision tackles the conditions that determine whether a project can move from proposal to operation. APDCA lists approvals, infrastructure reliability and investment-friendly policy settings as the core concerns in this section.

Partner then addresses what happens beyond the permitting process. The paper puts cooperation among government, industry and communities at the centre, with skills and public confidence treated alongside economic value.

Read together, the three pillars connect a demand forecast to a build decision and then to the social conditions around the project. That sequence gives governments a broader unit of policy than approvals alone. The framework is meant to guide decisions, not prescribe one route for every market.

What happens after publication?

APDCA represents commercial data centre operators in the Asia-Pacific region. The association says it aims to contribute to policy discussions about infrastructure systems that support digital growth, and the playbook gives that mission a concrete format.

Its evidence base is also specific. The paper combines the experience of operators that build and run data centres in many markets with policy approaches from Asia-Pacific and other regions. Deutsch says that mix responds to what governments across the region asked for: practical examples rather than a short list of principles.

APDCA’s framework also maps the policy process. Plan serves governments before demand becomes concrete, Provision addresses whether projects can obtain approvals and reliable infrastructure, and Partner covers relationships around skills, trust and economic value. The association presents all three as connected parts of data centre policy.

For policymakers, the paper provides a way to test the 10 steps against local conditions. That means identifying demand, infrastructure limits, approval bottlenecks, skills gaps and community concerns before choosing which approach fits.

For APDCA’s members, the publication starts a policy conversation that the association wants to continue with governments. Deutsch said the group looks forward to working with governments to apply the playbook so data centre growth delivers lasting benefits for economies and communities.

The next test is whether governments apply the 10 steps, coordinate infrastructure decisions and use the framework to shape longer-term economic and social outcomes.

Source: itbrief.com.au

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Sophie Lindqvist

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Staff writer covering regulation, policy and their impact on artificial intelligence and machine learning at AI In Context.

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