Europe’s debate over artificial intelligence is increasingly focused on a strategic question: should governments give greater priority to European technology providers when buying cloud computing and AI services?
The European Economic and Social Committee (EESC), an EU advisory body representing employers, workers and civil society, adopted an opinion on October 21 calling for stronger European digital infrastructure, greater support for open-source software and safeguards against excessive workplace surveillance.
The recommendations aim to reduce Europe’s dependence on external technology providers while ensuring that digital transformation respects people’s rights.
Although the opinion does not create new legal obligations, it adds momentum to a wider European discussion about technological independence and the future of the continent’s AI industry.
Why digital sovereignty matters
Cloud computing and AI services have become essential to modern businesses and public institutions. They support everything from administrative systems and data analysis to customer service and advanced scientific research.
However, many organisations depend on a relatively small number of global technology providers for their computing infrastructure and AI tools.
That dependence can create concerns about costs, contractual conditions, access to data and the ability to switch suppliers. It can also raise strategic questions if governments and critical institutions rely heavily on services they do not control.
European digital sovereignty does not necessarily mean excluding foreign companies. Rather, the concept generally involves ensuring that European organisations have meaningful choices, sufficient technical capabilities and appropriate control over their digital operations.
Public procurement could help European technology companies
One of the EESC’s recommendations is to give greater consideration to European cloud and AI solutions in public procurement.
Government contracts can provide an important source of revenue for technology companies, helping them develop products, hire employees and expand their customer base.
If public institutions make greater use of European providers, the resulting demand could support a stronger regional technology ecosystem.
The committee has also discussed a preference for open-source software, which can allow organisations to inspect, adapt and sometimes host software themselves, depending on the licence and technical arrangements.
Its proposals include approaches described as “EU first” and “comply or explain”. The latter would involve explaining why a purchasing decision departs from a preferred European alternative.
These are policy recommendations, not a blanket rule that all public-sector AI contracts must go to European suppliers. Any procurement preference would need to be considered alongside existing legal obligations, competition and the practical suitability of the products available.
Open-source AI offers an alternative
Open-source technologies can help organisations reduce dependence on individual suppliers, although the degree of independence varies between products.
A business that can inspect a model, host it on its own infrastructure and modify permitted components may have more control over how the technology is deployed.
However, open-source does not automatically mean free, secure or independent of foreign hardware and infrastructure. Running powerful AI models can still require expensive processors, electricity, specialist staff and ongoing maintenance.
Organisations must also evaluate model quality, security updates, licence conditions and the risks associated with processing sensitive information.
For European companies, the strongest strategy may involve combining open-source tools with commercial services rather than relying exclusively on one model of deployment.
Protecting workers as AI spreads
The EESC’s recommendations also address the effect of digital technology on employees.
AI-powered workplace tools can help businesses schedule work, analyse productivity and automate administrative tasks. But monitoring systems can also be used to track employees’ activities in increasingly detailed ways.
The committee has called for safeguards against excessive workplace surveillance and for digital transformation to respect workers’ rights.
This concern is becoming more important as employers gain access to tools that can analyse large amounts of operational data, generate performance assessments and support management decisions.
Employers need to consider transparency, proportionality, privacy and the consequences of automated assessments. Employees should understand when monitoring occurs and how the information may influence decisions affecting them.
Existing European data-protection and employment rules remain relevant, and the precise legal requirements depend on the circumstances.
Can Europe build a competitive AI ecosystem?
The push for digital sovereignty comes as Europe seeks to strengthen its AI computing capacity, support startups and encourage companies to develop products locally.
A stronger European technology market could offer businesses more choices and help retain economic value within the region.
But creating successful alternatives requires more than political declarations. European providers need competitive products, reliable infrastructure, skilled employees and enough customers to fund continued development.
Public procurement can help generate demand, but institutions must still assess security, performance, interoperability, long-term costs and value for money.
If preferences become too rigid or alternatives fail to meet practical needs, public bodies could face higher costs or reduced flexibility. A balanced approach would encourage competitive European products while preserving robust evaluation and accountability.
What happens next?
The EESC’s opinion is advisory. Its recommendations can inform the wider policy debate, but they do not themselves impose new duties on governments or employers.
Proposals concerning the EU’s cloud and AI policy remain part of an ongoing legislative and political process. The eventual outcome will depend on decisions by the relevant European institutions and lawmakers.
For technology companies, public-sector buyers and AI users, the debate is nevertheless significant. It shows that Europe increasingly views access to computing infrastructure, control over data and worker protection as connected elements of AI policy.
Conclusion: Europe’s call for stronger homegrown cloud and AI capabilities reflects a desire to reduce strategic dependence without abandoning international cooperation. Supporting European providers and open-source technologies could improve choice and resilience, provided the alternatives remain competitive and the rules are implemented carefully.
The challenge is to build a digital ecosystem that gives Europe greater control over its technological future while continuing to deliver secure, affordable and effective services to businesses and citizens.
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