The productivity lag from AI reveals competing logics: automation that replaces labour to cut costs versus augmentation that expands capability to create value. For innovation ecosystems, this choice is existential. Strict safety regulations risk creating moats favouring large incumbents, while unrestricted deployment threatens research quality. The narrow path requires public interest AI infrastructure, risk-weighted governance, and incentives rewarding high-impact discovery

Current debates about artificial intelligence often miss the fundamental difference between AI that replaces human capabilities and AI that amplifies them. Drawing on lessons from economic history and organisation theory, this insight argues for a focus on augmentation. For Australia, choosing to augment human expertise with AI is critical for building an economy that thrives on creativity and avoids the long-term risks of deskilling our workforce.

Software is the invisible engine of Australia’s real economy. It silently powers everything from energy grids to medical diagnostics, mining automation to advanced manufacturing. Too often, software is left out of economic plans, policy settings, and capability strategies. It’s time to treat software as national infrastructure — a strategic enabler, not just commercial code. If we want productivity growth, energy transition, and sovereign control of critical systems, we need