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AI infra gap could cost Australia growth, Deloitte says

Deloitte Access Economics said Australia has a short window to become a regional hub for AI infrastructure but could fall behind without faster investment and policy action.

Australia needs about A$52 billion (US$36.27 billion) by 2030 for digital infrastructure, and said it would need to double investment in compute power over the next five years.

Australia is on track for about 3.3 gigawatts of data center capacity by 2030 but would need another 3.1 gigawatts of compute power, while warning other countries are moving faster to build infrastructure pipelines.

Expanding beyond current plans could add A$134 billion (US$93.46 billion) to the economy by 2050 and support an annual average of 14,300 extra jobs, and said policymakers should ensure regulatory settings support investment in data, clean energy, and planning.

🔗 Source: Bloomberg

🧠 Food for thought

Implications, context, and why it matters.

Australia’s AI ambitions face new energy and policy pressures

  • The government now ties data center approvals to “national interest expectations,” while the industry asks for clearer rules 1.
  • Those expectations push operators to bring new clean energy online to cover added demand and limit pressure on power prices 1.
  • An industry group that includes Amazon Web Services (AWS), a cloud computing provider, and Microsoft, a cloud and software company, says the policy skips less efficient on-premise enterprise data centers (company-run facilities located on their own premises rather than in the cloud) 1.
  • The dispute matches a wider Asia Pacific problem, since energy access now limits growth and planned data center demand in some areas already exceeds scheduled grid upgrades 2.

Data centers are becoming active players in the power system

  • AI power demand is pushing data centers toward a new approach where they cannot stay simple grid customers 3.
  • Some operators sign long-term deals that support new wind or solar projects, giving developers steady revenue to build 3.
  • Another tactic turns retiring fossil fuel power plants into data center precincts, using existing high-capacity grid connections 3.
  • Operators also use AI to move delay-tolerant work such as model training to hours when renewable power costs less, which can help grid stability 3.

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