The point

The EU seeks digital sovereignty, but the gap between research and industry remains

The Union has a strong capacity for innovation that it struggles to translate into applications. Commission plan to reduce dependence on the US

by Margherita Ceci

 Smile Studio AP - stock.adobe.com

3' min read

Translated by AI
Versione italiana

3' min read

Translated by AI
Versione italiana

The presentation of the EU digital sovereignty package should arrive on Wednesday, after three postponements. The European Commission has been working on it for quite some time, trying on the one hand to harmonise the many regulations of the last few years (from the cloud to the Ai act, via microchips), and on the other hand to decrease dependence on US digital and Chinese material technologies.

The node is as simple as it is critical: according to Europarliament studies, over 80% of the products, services, infrastructures and digital intellectual property used in the Union come from non-EU countries, among which the US stands out. If we want to limit ourselves to the cloud alone, three US biggies (Amazon Web Services, Microsoft Azure and Google Cloud) control about 69% of the European market, managing the infrastructures that host the services of public administrations, banks, telecommunication operators and companies. Translated: if one morning US President Donald Trump decided to revoke cloud licences across Europe, the entire continent would come to a standstill.

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The not so unfounded concern in Brussels is that Washington will use technological dependence as a negotiating weapon to impose itself politically. Hence the Union's interest in 'disentangling' itself from US control as soon as possible. Creating local alternatives, however, is not enough: that European companies can compete with US big tech is not a plausible scenario. It is not only a matter of investment (which in any case

The Commission is trying a path that does not aim at zero dependency, but rather at managing it. An approach that betrays the European awareness of not being able to compete with US big tech. It is not just a matter of different investments: Europe is struggling to transform research, data, infrastructure and capital into autonomous industrial and technological capacity.

To realise this, one need only look at the calculations of the Ai Observatory of the Politecnico di Milano: out of all the world's scientific publications published in 2023, 15% were of European origin, against 9% in the USA. Yet when knowledge becomes industry, i.e. when it is translated into patents, the proportion is reversed: 14% of the patents registered in 2023 came from the States, against 3% from Europe.

"We manage to finance initial research well, but we struggle more in the scaling phase: access to capital, availability of computational infrastructure, speed of execution, industrial demand aggressive enough in adopting innovation," explains the director of Polimi's Ai Observatory, Alessandro Piva. "Moreover, we continue to think in too fragmented a way. The United States and increasingly also China are building integrated ecosystems between research, capital, cloud, data and market. Europe, on the other hand, risks having isolated excellence but little critical mass. We need more capital, but we also need to spend it with more strategic vision'.

The package to be presented by the Commission will include the Open Source Strategy, the Chip 2 Act, the Strategic Roadmap for Digitisation and Ai in the Energy Sector, and the Cloud and Ai Development Act. In the meantime, efforts are being made to incentivise digital socranity with tenders and funding; the latest episode in April, when the Commission awarded EUR 180 million to four European providers (Post Telecom, Stackit, Scaleway and Proximus) to deliver cloud services to EU institutions and bodies.

The real game, however, will be played in bureaucratic simplification: the fear for this new package is that it will further complicate the work of start-ups and SMEs, instead of harmonising it. "The issue is to prevent regulation from running faster than the operational capacity of companies," continues Piva. "We need clear standards, sandboxes, implementation support and a strong investment in skills. We need to create integrated supply chains between universities, start-ups, large companies, cloud providers, infrastructure and public and private demand."

The opportunities for a change of pace are not lacking, however, starting with the integration of Ai in critical industrial and infrastructural processes: 'Europe could become the global reference point on reliable, secure and governable Ai. We have a historical strength in complex industrial systems and regulated sectors (I am thinking of advanced manufacturing, robotics, industrial automation, energy, health, cybersecurity, and trustworthy Ai). And it is not a secondary issue: a huge part of the economic value of Ai in the coming years will arise precisely from the transformation of enterprise and industrial processes."

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