Innovation precinct strategies routinely promise "chance encounters" and "spontaneous collaboration" as if bringing talented people together in well-designed spaces automatically produces productive connections. The evidence is weak. Many precincts deliver proximity without interaction. Tenants occupy adjacent floors for years without substantive engagement. Shared amenities become places where people check phones rather than start conversations. My latest Innovation Insight

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

Australia’s innovation system contains multiple intermediary models, including consultants, brokers, mediators and resource providers. Each model contributes value, yet none resolves the persistent difficulty firms face when adopting external knowledge. This Insight argues that the absence of a dedicated technology transfer agent function is a major structural weakness. TTAs work inside firms, aggregate capability across institutions, and build adoption pathways.

Australia’s innovation economy is shaped by a structural management deficit that separates discovery from execution. This Insight explains why founders who generate breakthroughs often lack the management skills required to build a resilient business, and why capability-building programs misdiagnose the challenge. The divide is visible in startups, SMEs, and university spin-outs, where the transition from research or prototyping into scale demands architectural management ski

The launch of the National Innovation and Science Agenda (NISA) in 2015 marked a watershed moment for Australian policy, placing entrepreneurship at the centre of the nation's economic future. This analysis looks at how NISA's initiatives, particularly the overhaul of the Venture Capital Limited Partnership (VCLP) and Early-Stage Venture Capital Limited Partnership (ESVCLP) regimes, successfully stimulated the early-stage funding ecosystem. It also discusses the critical chal

For decades, Australian innovation policy has focused on the "valley of death" where good ideas fail to become commercial products. Today, an algorithmic revolution driven by data, AI, and quantum computing is forcing a complete rethink of the path from laboratory to market. The focus of value creation is shifting from physical 'atoms' to 'algorithms' that command them. This shift creates an 'infrastructure inversion' where computational power and massive datasets are now cri

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.

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.

Startups serve as the primary engines of growth in innovation districts, but they are not all born from the same crucible . Understanding their specific origins is crucial for any nation or region seeking to build a competitive innovation ecosystem. This insight explores four distinct foundational models:the Academic Cradle, Government Blueprint, Corporate Spinoff, and Cultural Uprising, to see what lessons other innovation districts and precincts hold for Australia's policy

This article reviews The Handbook of Innovation Ecosystems , detailing its "four-domain convergence framework" . It argues that successful ecosystems are not accidental but require the deliberate, long-term integration of Placemaking, Economics, Business, and Governance . It provides a practical guide for policymakers and practitioners to move beyond rhetoric and build durable, inclusive innovation capacity .

Policymakers, business strategists, innovation professionals, and researchers are increasingly being asked to invest in, create, or replicate innovation ecosystems. Until now, a clear framework for understanding what ecosystems are, how they function, and what enables their success has been largely missing, particularly in Australia. The Handbook of Innovation Ecosystems: Placemaking, Economics, Business, and Governance, just published by the Acton Institute for Innovation,

Innovation ecosystems often exist as dormant networks despite structural potential. The critical difference between contact lists and active collaboration lies in problem-focused interaction, trust-building, engagement, and governance mechanisms that align diverse organisational incentives. Successful activation requires shared challenges that demonstrate mutual value, system integrators that facilitate cross-sector engagement, and policy frameworks that reward collaborative

Sydney has impressive innovation assets, top universities, vibrant tech, and leading health precincts, but underperforms as a unified ecosystem. With 33 councils and competing districts, the city lacks the integration seen in Amsterdam, Boston, Singapore. New research argues Sydney must stop mimicking Silicon Valley and instead build metropolitan-scale coordination, trusted intermediaries, and collaborative governance to turn fragmented brilliance into global competitive adv

Australia’s productivity woes stem from more than tax or regulatory inertia. As Emeritus Professor Roy Green argues, decades of industrial decline, underinvestment in research, and a failure to embrace strategic transformation have left the economy exposed to global shocks and wage stagnation. Green outlines a pragmatic agenda for industrial renewal—joining up policy, innovation, and workforce development—to secure Australia’s economic future.

Australia’s Rural R&D Corporations are rightly celebrated, but the system around them needs to evolve. This Innovation Insight reframes agricultural policy not in terms of who holds power—but what functions the system must perform to meet today's national challenges. A future-focused rethink from CSIRO’s Food System Horizons.

At a time when the language of innovation is everywhere yet the architecture for delivering it is so often absent, the need for honest, grounded, and practical thinking is urgent. The goal of this book is not to predict the future, but to inform and provoke those with the responsibility and agency to shape it.

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

The tectonic shifts in the global economy—from manufacturing to services, from tangible goods to intangible assets—demand more than incremental adjustments to our statistical and analytical frameworks, Australia, a nation increasingly powered by services and innovation, risks undermining its competitiveness by clinging to an outdated framework. The case for adopting modern, flexible, and globally aligned industry classification systems has never been more compelling.

For the first time in many years, there is a genuine opportunity to move beyond the oppositional politics that have hindered structural reform. This new parliamentary composition—more diverse but potentially less fractious—opens the door to building coalitions of the willing for major national reform. If we are to grasp this political moment, we must also confront the structural ambiguity that has long undermined innovation policy in this country. 

Australia's innovation policy faces a blind spot: the systematic neglect of common knowledge that enables breakthrough innovations to scale and endure. While current frameworks excel at measuring patents and R&D expenditures, they overlook the tacit expertise, institutional practices, and professional networks that serve as innovation's connective tissue. This Insight reveals how integrating common knowledge with proprietary systems can transform Australia's innovation perfor