Episode
Ep. 174: AI and policy, both foreign and domestic
- Podcast
- Australia in the World
- Published
- Jan 15, 2026
- Duration seconds
- 3178
- Processing state
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Summary
In an episode recorded just before Christmas, Darren interviews Janet Egan, Senior Fellow and Deputy Director of the Technology and National Security Program at CNAS, about AI policy and its implications for Australia. Janet (who started her career in the Australian government) frames the current AI landscape as a two-horse race between the US and China, given vastly asymmetric investment levels. She introduces “compute policy” as a tractable governance lever, explaining that the physical infrastructure required for AI—specialised chips, data centres, and energy—offers regulatable chokepoints unlike easily transferable data or algorithms. The US strategy focuses on scale and removing barriers to advancement, while China, constrained by export controls on advanced semiconductors, pursues a diffusion-oriented approach emphasising open-source models and practical applications. Turning to Australia's recently released National AI Plan, Janet offers a mixed assessment. She praises the establishment of an AI Safety Institute and the acknowledgment that data centres matter, while noting the plan avoided overly restrictive regulation that could stifle investment. However, she argues the plan misses a significant opportunity: positioning Australia as a compute hub for frontier AI training. Australia’s renewable energy potential, available land, and skilled trades workforce make it attractive for data centre buildout, but copyright restrictions on training data remain a key barrier. Janet argues that unlike critical minerals, AI does not lend itself to hedging between Washington and Beijing given its inherently dual-use nature and emerging evidence of bias in Chinese models. She highlights the UAE and UK as instructive cases—the former for ambitious state-led mobilisation, the l…