How should governments engage with innovation ecosystems? Research by the Acton Institute, examining over 90 innovation districts globally, finds no governance model that reliably outperforms others. What matters is whether arrangements align with local institutional foundations and address each ecosystem's binding constraint, the weakest capability that limits returns from all other investment. This Insight catalogues twelve governance categories from Silicon Valley to Singa

Minister Ayres's National Press Club address draws selectively on the SERD's Ambitious Australia report to support a broader industrial policy agenda. The report's proposed SRI architecture is largely absent. R&D is positioned as one of the instruments in a reindustrialisation. The broader innovation system, including management capability, absorptive capacity, and place-based ecosystems, is unaddressed at this stage. No doubt, more is coming on actions and initiatives.

Australia's SERD report, Ambitious Australia, strengthens the research system but treats it as though it were the innovation system. This Innovation Insight argues for two shifts: defining innovation as the successful application of new ideas rather than production of research outputs, and widening the frame beyond science and technology to include creative practice, social innovation and place-based ecosystems. Firms, users and places, not universities alone, should be at th

The centrepiece proposals in Ambitious Australia would redefine what counts as R&D, leave the fiscal cost unexamined, and concentrate benefits on a very small proportion of Australian innovative businesses. The expanded startup stream converts the RDTI from an R&D incentive into an early-stage business subsidy. No OECD country subsidises deployment and commercialisation through its R&D tax incentive. Without forward estimates, it is impossible to judge whether proposed benefi

The SERD report's proposed National Innovation Council cannot direct Ministers across thirteen portfolios. Section 64 of the Constitution vests that authority in individual Ministers. This Insight proposes an alternative: a Cabinet-level coordination mechanism paired with a statutory Innovation Commission for independent research on innovation and industry economics, complementing the Productivity Commission's efficiency analysis and IISA's continuing R&D Tax Incentive admini

The Strategic Examination of Research and Development, released 17 March 2026, is the latest review diagnosing Australia's innovation system and proposing reform. The panel's 20 recommendations are analytically sound and deliberately integrated. But the real test is implementation. Systemic reform must navigate sequential budgets, entrenched institutional resistance, and competing fiscal priorities, including defence, health, and cost-of-living measures.

Artificial intelligence is generating unprecedented investment and uncertainty. This book argues that AI outcomes depend less on the technology itself and more on what it combines with: data quality, management capability, workforce skills, governance capacity and institutional design. A structured framework for policymakers and executives making decisions before the evidence is complete.

Why does the same technology lift productivity in some places and disappoint in others? The complementarity thesis explains the gap: returns depend on what technology is combined with. Applied to innovation districts, value comes from complements across placemaking, economics, business, and governance, underpinned by infrastructure. Leadership, collaboration, and learning mindsets become practical policy levers, not soft extras.

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