Cloud computing, AI, and the fight for digital independence

What does sovereignty mean in cloud computing, and how does it relate to Hivenet’s mission? Originally written in 2025, this article examines regulation, national security, and public sentiment. Its historical references and benchmark remain part of that discussion. Product and legal qualifications were reviewed in September 2026. For a current deployment, assess the specific service, contract, jurisdiction, and recovery requirements.

Sovereignty as law: regulation and technology

Let’s start with a definition: while sovereignty [1] has a few meanings, its root is the Old French word “soverain” which means “highest; supreme; chief” [2]. In current times, sovereignty is often used in the sense of a “self-governing” state with authority over its affairs - and this usage of the word carries over into the concept of “digital sovereignty.” In 2021, the leaders of Estonia, Denmark, Finland, and Germany wrote to the President of the European Commission to emphasize the importance of “digital sovereignty” for the European community [3]. They sought to ensure that Europe could grow its technical capacity and retain its independence in the face of a market controlled by larger powers.

The EU went on to release regulations, such as the Digital Markets Act and AI Act, to complement existing ones like GDPR (General Data Protection Regulation) to address these concerns. As the World Economic Forum (WEF) noted earlier in 2025, we exist in a landscape of complex and fluid regulations as global powers strive to control and maximize the benefits of technological progress - where growing concern in the EU about the US and China’s dominance has driven a “proactive stance” on regulation that has been influential in other jurisdictions (the “Brussels effect”, e.g., The Brussels Effect and Artificial Intelligence) [4, 5].

We are not here to debate the pros and cons of specific policies - the fact is that regulations exist, and compliance with specific data, security, and operational controls is a challenge for businesses of all types and sizes. One solution favored by cloud hyperscalers is partnering with states and trusted local partners to achieve segregation between an underlying, “sovereign” infrastructure and the platforms and services that run on top (e.g., AWS European Sovereign Cloud, Microsoft Azure’s Cloud for Sovereignty, and Google Cloud’s Sovereign Cloud [6, 7, 8]). These offerings aim to combine cloud capabilities with location and operational controls. Their suitability depends on the specific service, contract, configuration, and applicable law; the “sovereign” label does not establish compliance by default.

The following questions can help assess a sovereign cloud offer; see Table 1.

_{Table 1: questions to assess in sovereign cloud offerings}

The linked reporting discusses regulatory scrutiny and data-transfer concerns [10, 11, 12]. These references do not establish that every cited case resulted in a fine or that every sovereign cloud offer has the same limitations. The next section considers another part of the original discussion: geopolitics, access to resources, and cyber risk.

Sovereignty as policy: geopolitics, cyberattacks and the cloud

The original 2025 discussion connected digital sovereignty with geopolitical tensions and the idea of neo-mercantilism. Mercantilism describes an economic approach associated with state power and competition [13]. The cited policy discussions explored trade, investment, and strategic relationships [14, 15]. The article also cited January 2025 reporting on AI-chip export restrictions [16]. That is historical policy context, not current eligibility guidance. Check the rules applicable to the destination, end user, and intended use before planning a deployment.

For a Europe-specific analysis, see why European cloud independence matters for security, regulation, and economic resilience.

Cyber attacks formed another part of the original discussion, which cited a 2024 statistics roundup [17]. That reference is not a current measurement of attack growth or a comparison of provider security. For a deployment, assess the provider’s controls, the customer’s responsibilities, and recovery arrangements. Table 2 outlines risks to consider.

_{Table 2: limitations of public cloud security}

While higher ideals like individual freedom and the right to privacy do shape attempts at policy (e.g., in the EU), national security concerns remain a dominant force in shaping who can leverage what technological capabilities (e.g. [21] and [22]), and motivating threat actors to target “flagship” infrastructure. 

The final theme is public sentiment. After that, the article considers Hivenet’s approach and the product-specific checks needed to assess whether a service addresses the concerns discussed.

Sovereignty as freedom: the influence of consumer sentiment

In the 2010s, as the first major wave of “digital transformations” and public cloud migrations was underway, a clear shift was taking place in IT strategy: decision-makers were bringing expectations from consumer-facing products into the workplace, asking why their systems did not work the same way … and whether maybe they should? 

At this time, it was also becoming clear that consumer experience was driving enterprise adoption of products like Slack, Asana, and Google Drive - a process sometimes known as B2C2B sales (Business to Consumer to Business) and a big shift from long-standing “C-level and down” tactics [23, 24]. We can also look at how Microsoft leveraged an embrace of open-source and the acquisition of brands like LinkedIn and GitHub to convince formerly skeptical engineers that it had changed. Wider consumer understanding and acceptance of distributed services is relatively new but is growing as perceptions shift [25].

Public-trust reporting cited in the original 2025 discussion raised concerns about large technology companies [26]. Other references concerned TikTok and the use of social-platform data for AI training [27, 28]. A 2022 report cited here put willingness to exchange personal data for free services at 28% globally and support for tighter technology-sector regulation at 34% [29]. Another cited study examined public trust, GenAI regulation, and lobbying [30]. These dated studies do not establish current public opinion or adoption of Hivenet. They provide historical context for evaluating alternatives.

Sovereignty: at the heart of Hivenet’s services

Hivenet offers product and deployment choices that can help organizations manage some of these concerns. The relevant controls must be evaluated for the chosen service; using a distributed design does not eliminate legal, security, or operational risk.

Distributed systems can support resilience

Distributing components can reduce some single points of failure, but shared control planes, identities, networks, and other dependencies can remain. Assess the actual deployment rather than inferring resilience from the architecture label.

1. Data placement alone does not remove exposure to government orders. Assess the entities involved, applicable jurisdiction, contractual terms, and possession or control of data; obtain legal advice for the intended deployment.
2. For storage products using Hivenet’s distributed storage model, encryption and fragmentation mean one storage node does not hold a complete usable file. This can limit exposure from a single node, but does not make recovery of data by attackers or ransomware disruption impossible. Key management, endpoint security, access controls, and independent recovery copies still matter.
3. A distributed deployment may tolerate some component or location failures if replication, failover, and recovery are designed and tested for them. Confirm the failure domains and service commitments of the chosen product.

Distributed systems are flexible systems

Second, a distributed deployment may offer different operational choices. Portability and the ability to change providers depend on interfaces, contracts, data formats, and the workload:

1. Assess which libraries, frameworks, export formats, and interfaces the selected service supports. Test the migration steps and account for data-transfer costs, dependencies, and contractual limits. A simpler service model does not by itself remove vendor lock-in or establish availability in every location.
2. Control over your application architecture and code can help you respond to changing requirements. Some changes will still depend on the provider, contract, or infrastructure, so confirm those dependencies.
3. Alternative infrastructure may broaden sourcing options, but it does not create an exemption from export controls, sanctions, or other applicable restrictions. Confirm hardware, destination, end-use, and contractual eligibility before deploying.

Openness depends on interfaces and governance

Open interfaces can help users choose and move between services. Hivenet products use different operating models, and community contribution is currently unavailable. The general discussion of participation below should not be read as an invitation to contribute resources today. Relevant considerations include:

1. Using an alternative provider may reduce dependence on a particular platform. Assess its own governance and supply-chain dependencies rather than assuming a distributed design removes those concerns.
2. Open-source projects such as IPFS and LibP2P [31,32] are relevant to distributed-systems research. Their inclusion here does not establish that every Hivenet product runs on the same software stack. Consult the current product-specific architecture.
3. Using spare capacity can improve utilization in some designs. Any environmental benefit depends on the workload and comparison baseline; it is not a current contribution offer.

Hivenet is a distributed system

At the time of this article's 2025 discussion, Hivenet reported more than 500,000 users and 320,000 contributors for its storage service and described the launch of Compute [33, 34]. These are historical figures and launch context, not current participation totals. Today, Hivenet's products use product-specific architectures, and community contribution is unavailable. Check current product documentation for features and access.

DeepSeek R1 formed part of the original 2025 discussion [35, 36]. Open-weight models still require compute sized to the intended workload. For Compute with Hivenet, confirm the capacity, configuration, and templates currently available in the console and documentation. The Llama 3.1-8B tutorial [37] remains a historical workflow example, not confirmation that its image, GPU configuration, or availability is current.

For a current deployment, review Hivenet's infrastructure information and confirm any uptime commitment, certification scope, resource allocation, and remedies in the applicable service agreement. This article does not establish a universal 99.9% SLA or Tier-3 certification. Compute's current GPU fleet uses RTX 5090; RTX 4090 is retired. Figure 1 retains the LambdaLabs PyTorch comparison used in the original discussion [39]. It is historical benchmark evidence, not a current Hivenet price-performance claim or an indication that those GPUs remain available.

_{Figure 1: historical comparison of GPU models in the LambdaLabs PyTorch benchmark, retained from the original article.}

In summary, Hivenet recognizes that the world is increasingly complex across many different dimensions - some within the control of our community and some that are not. Whether you have concerns about a fluid regulatory and compliance landscape, the implications of the geopolitical stance of major powers, or simply have had enough of a monopolized market for key technology platforms, Hivenet is committed to our mission of empowering you to attain digital sovereignty. This underpins our approach and everything we do daily - if you want to know more, we would love to hear from you today.