Why Transparent Knowledge Infrastructure May Become Europe's Next Competitive Advantage

Europe's innovation debate is often framed around research funding, venture capital, startup creation and technological breakthroughs. Yet beneath these discussions lies a quieter question that is becoming increasingly important. In an economy increasingly driven by intangible assets, how effectively can societies identify, interpret and mobilize knowledge that already exists?

For much of the industrial era, competitive advantage was built on physical assets.

Factories, ports, transport networks, energy systems and manufacturing capacity largely determined a nation's ability to create wealth. Governments invested heavily in infrastructure because infrastructure enabled economic activity. The relationship was obvious. Better roads improved trade. Better energy systems supported industry. Better logistics accelerated growth.

Today's economy operates differently. Increasingly, value is generated through knowledge.

The world's most valuable companies derive much of their worth from intellectual property, software, research capabilities, data, brands and technological expertise. Even traditional industries rely more heavily than ever on specialized knowledge assets embedded within products, processes and supply chains.

Yet while Europe has spent decades building world-class research institutions, comparatively less attention has been paid to the infrastructure required to make knowledge itself visible, understandable and actionable.

As policymakers search for ways to strengthen competitiveness, that omission is becoming increasingly difficult to ignore.

A Continent Rich in Knowledge

One of the defining characteristics of the European economy is the depth of its research base.

The continent hosts some of the world's most respected universities, research institutes and scientific organisations. European researchers continue to produce highly cited research and contribute to advances across fields ranging from life sciences and advanced materials to quantum technologies and artificial intelligence.

This strength is widely recognized. Indeed, many of the concerns emerging from recent competitiveness debates begin from precisely this observation. Europe is not short of scientific excellence. The challenge is what happens after that excellence has been created.

Both the European Commission's work on the European Innovation Act and wider discussions surrounding European competitiveness repeatedly point toward the need for stronger commercialization pathways, better exploitation of intellectual property and improved mechanisms for translating knowledge into market outcomes. [1]

In other words, the issue is increasingly not knowledge creation. It is knowledge utilization.

The Visibility Problem

Knowledge differs fundamentally from physical assets. A factory is visible. A warehouse is visible. A transport network is visible. Knowledge often is not.

Research findings may reside in academic publications. Intellectual property may sit within patent portfolios. Technical expertise may be distributed across laboratories, departments and institutions. Commercial potential may exist without being immediately obvious to researchers, investors or industry.

This creates a challenge that becomes more significant as innovation systems grow. The problem is not necessarily a shortage of opportunities. The problem is that opportunities are difficult to identify.

Every year, universities generate vast quantities of research outputs and intellectual property. Yet only a fraction of these opportunities will receive serious commercial evaluation. Even fewer will progress toward licensing agreements, industrial partnerships or startup formation.

Many potentially valuable opportunities remain largely invisible. Not intentionally. Simply because the systems required to discover them at scale remain underdeveloped.

The Economics of Discoverability

Innovation policy frequently focuses on invention. Yet economic value is often created through discovery of a different kind.

The discovery of relevance. The discovery of application. The discovery of market fit. The discovery of opportunities hidden within existing knowledge.

This distinction is increasingly important. The Redstone University Index highlighted substantial variation in commercialization performance across European institutions, suggesting that research excellence alone does not determine entrepreneurial outcomes. Universities with broadly similar research capacities often produce very different levels of startup activity. [2], [3]

The implication is difficult to ignore. Scientific knowledge may already exist. The determining factor is whether that knowledge becomes visible to the people capable of creating value from it.

Researchers, entrepreneurs, investors and industry partners all depend on discovery systems. The effectiveness of those systems increasingly shapes economic outcomes.

Knowledge Infrastructure as Innovation Infrastructure

Historically, innovation infrastructure has been discussed primarily in physical and institutional terms. Research laboratories. Incubators. Science parks. Venture funds. Technology transfer offices.

These remain essential components of any innovation ecosystem. Yet a growing argument can be made that another layer of infrastructure is becoming equally important.

Knowledge infrastructure. The mechanisms that allow knowledge to be located, interpreted, evaluated and connected to real-world opportunities.

Viewed through this lens, commercialization is not simply a matter of moving technologies into markets. It is a matter of reducing information asymmetry.

Researchers need visibility into commercial pathways. Investors need visibility into technical opportunities. Industry needs visibility into emerging capabilities. Universities need visibility into the strengths and weaknesses of their own portfolios.

Without this visibility, opportunities frequently remain unrealized.

Why Transparency Matters

Transparency is often associated with governance, regulation or financial reporting. Increasingly, it may become an innovation issue as well.

The value of transparency lies not only in accountability but in coordination.

Commercialization ecosystems are composed of participants operating with incomplete information. Researchers understand the science. Investors understand markets. Industry understands customers. Universities understand institutional priorities.

Innovation occurs most effectively when these perspectives converge. The challenge is that convergence rarely happens automatically. It depends on shared information. Shared frameworks. Shared understanding.

This is one reason initiatives such as KTH's Innovation Readiness framework have gained influence. The framework attempts to create a more systematic understanding of innovation progress by examining multiple dimensions of readiness rather than focusing exclusively on technology maturity.

Similarly, efforts to standardize spin-out frameworks through initiatives such as TenU, or recent licensing reforms in Denmark, reflect recognition that transparency and consistency reduce friction within commercialization systems. [3]

The common thread is clear. Better information creates better decisions.

Beyond Commercialization

The significance of knowledge infrastructure extends beyond startups and licensing agreements. At its heart, the issue relates to resource allocation.

Where should investment be directed? Which technologies deserve additional support? Which partnerships should be pursued? Which discoveries possess the greatest potential for societal impact?

Answering these questions becomes increasingly difficult as research intensity grows. Europe's innovation challenge is therefore becoming partly analytical. Not simply generating more opportunities. But understanding existing opportunities more effectively.

This requires systems capable of translating complexity into visibility. Not replacing human judgment. Supporting it.

A Different Way of Thinking About Competitiveness

Europe's future competitiveness will undoubtedly depend on scientific excellence, venture investment and entrepreneurial ambition. None of these become less important.

Yet there is growing evidence that another factor deserves attention. The ability to make knowledge visible. To connect research with application. To reduce uncertainty around intellectual property. To help institutions navigate increasingly complex innovation portfolios.

If the twentieth century was shaped by investments in physical infrastructure, the twenty-first may increasingly be shaped by investments in knowledge infrastructure.

Not because knowledge is replacing industry. But because knowledge has become one of industry's most important inputs.

Europe already possesses extraordinary intellectual assets. The challenge now is ensuring those assets become easier to find, easier to understand and easier to activate.

Because future competitiveness may depend not only on what Europe knows. But on how effectively Europe uses what it already knows.

Sources

1. DigitalEurope. (2025, October 3). A European Innovation Act to boost commercialisation and enable growth. https://cdn.digitaleurope.org/uploads/2025/10/DIGITALEUROPE-European-Innovation-Act-to-boost-commercialisation-and-enable-growth-03102025.pdf
2. European Commission, Directorate-General for Research and Innovation. (2025, December 4). Commission concludes public consultation on the European Innovation Act. https://research-and-innovation.ec.europa.eu/news/all-research-and-innovation-news/commission-concludes-public-consultation-european-innovation-act-2025-12-04_en
3. European Commission, Directorate-General for Research and Innovation. (n.d.). European Innovation Act. Retrieved August 7, 2026, from https://research-and-innovation.ec.europa.eu/strategy/support-policy-making/shaping-eu-research-and-innovation-policy/european-innovation-act_en