Highlights

  • AI-related Investment could put near-term pressure on prices while Supply capacity adjusts.
  • The RBA identified bottlenecks in semiconductors and pressure on some construction trades.
  • Over time, expanding capacity and productivity gains could ease pressures, leaving the long-run Inflation effect broadly neutral.

Artificial intelligence is often associated with greater efficiency and lower costs, but its effect on inflation may initially move in the opposite direction. In a speech delivered on 9 November 2026, Reserve Bank of Australia Assistant Governor (Economic) Sarah Hunter explained how the global AI investment surge could raise Demand faster than the economy’s ability to supply the necessary goods and services. The longer-term picture may look different as capacity expands and productivity improves.

Why investment can raise prices first

Developing AI requires physical infrastructure as well as software. Data centres need computing equipment, buildings, electricity networks and skilled workers. When many businesses expand these activities simultaneously, demand for scarce inputs can increase before producers are able to respond.

The RBA pointed to capacity pressures in supply chains for AI-enabling products, including semiconductors. These pressures can flow into the prices of goods that use those components. Hunter noted that price increases have been concentrated in a narrow group of consumer electronics products, which carry relatively small weights in Consumer Price Index baskets.

The speech did not suggest that AI has become the dominant driver of Australian inflation. Rather, it identified a specific source of pressure within a wider economic setting.

Construction and energy add another channel

Australia’s growing data centre sector creates demand for construction and supporting infrastructure. The RBA’s Business liaison contacts reported that data centre construction was adding to demand for some skilled trades that were already stretched.

Such pressures matter because the economy cannot instantly expand its workforce, equipment supply or energy infrastructure. Where capacity is limited, additional projects can compete for the same resources. The resulting cost pressure may persist until businesses increase supply or projects move through their construction phases.

The RBA also expects AI infrastructure to raise demand for electricity and certain energy resources and critical minerals. These effects overlap with the broader energy transition, making their precise inflationary contribution difficult to isolate.

Why the pressure may fade

Hunter outlined a different dynamic over time. As data centre capacity and related industries expand, supply bottlenecks could ease. More importantly, if AI allows firms to produce more output with the same labour and capital, the economy’s productive capacity could rise.

Greater productive capacity can reduce the inflationary pressure associated with a given level of demand. However, AI may also raise incomes and spending, meaning supply and demand could grow together. For this reason, the RBA characterised the technology’s likely long-run effect on inflation as broadly neutral rather than permanently disinflationary.

Implications for monetary policy

The timing of these shifts is uncertain. Near-term investment demand, possible changes to the economy’s productive potential and adjustments in labour markets could affect inflation differently. The RBA said understanding the size and timing of these effects remains an ongoing analytical priority.

Key Insights

AI could add selective near-term cost pressure through investment and supply constraints, without necessarily changing inflation permanently. The balance between demand growth, capacity expansion and productivity gains will determine how the effects unfold.