Has resilience displaced innovation as the organising idea in Australia’s science, technology and innovation policy? Guest writer Rajesh Gopalakrishnan Nair suggests the proposed Resilience and Science Council marks this policy turn. In this extended essay, Rajesh traces the resilience narrative from Federation to the present and argues that the neoclassical reading of resilience, a bounce back to equilibrium, may cost Australia the innovation policy that Ambitious Australia

Many of the districts that turn research into production grow on a city's edge, around a university campus, an advanced-industry base, or a major item of public infrastructure. Drawing on a 2026 UTS study of European and Nordic ecosystems, this Insight examines Eindhoven, Dortmund, Kaiserslautern, Munich, and Stockholm. It sets out a policy architecture of seven interacting components, and asks what the record means for Australia's next generation of precincts.

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

Artificial intelligence is reshaping industries, yet its productivity impact remains elusive. This Innovation Insight argues that the real challenge lies in outdated models of measurement and policy. To navigate the AI era, governments need a new playbook—one that measures transformation, not just outcomes, and builds the adaptive capacity of national innovation systems.