Shared Sovereignty for Shared Data: A Middle East Vision for Europe’s Digital Future
- afkar collective

- Dec 24, 2025
- 4 min read

Europe is trying to build a single market for data at the very moment when cities and ministries across the Middle East are scaling cloud infrastructure, national digital IDs, smart mobility, and AI‑enabled public services. From the Gulf to the Levant, large projects in health, energy, logistics, environment, and finance all depend on reliable data flows and trustworthy AI. What Europe decides now will travel through standards, procurement rules, and supply chains, shaping how our region connects to that future. This is why a clear, translation‑friendly message matters: Europe must move from coordination to execution, and the Middle East should be ready to engage where it creates shared value.
A simple historical lesson helps. After the war, the European Coal and Steel Community treated coal and steel as strategic inputs and governed them with shared sovereignty through a High Authority that could harmonize rules, issue binding decisions, and sanction non‑compliance. That institutional backbone turned potential rivals into interdependent partners. Today, data and AI are the new strategic inputs. Their value comes from interoperability, security, and trust across borders. The current European approach—ambitious laws with uneven national enforcement—still produces silos, delays, and duplicated costs. The operational logic of the old High Authority remains relevant: when a resource underpins growth, security, and social stability, you need supranational executive capacity to make the system actually work.
For the Middle East, this is not an academic point. Fragmented enforcement inside Europe means different compliance climates for the same product or service. The legal tempo also lags the technical tempo; courts and regulators move in years while AI changes in months. Add to that a silent competition over standards in identity, cryptography, cloud, and model safety, and the result is friction that our projects feel as higher costs, slower integrations, and reduced reliability for cross‑border services such as second‑opinion telemedicine, just‑in‑time logistics, and climate‑risk early warning.
A practical blueprint is available and it does not require centralization for its own sake. Europe should establish a Digital and AI Agency with real executive powers, limited in scope but strong in delivery. Its purpose would be to make interoperability a living requirement rather than a one‑time box to tick, to federalize strategic data while protecting rights, and to supervise systemic actors with proportional obligations tied to market access. In operational terms this means certificates that evolve with model updates and security patches, privacy‑preserving “pools” for health, climate, energy, and logistics data that keep sensitive information under strict control while allowing analysis at scale, and governance that records every access and enables independent audit. It also means a European fund that backs public‑interest AI—open climate models, privacy‑preserving medical research, infrastructure safety tools—only when projects adopt the common protocols that keep the whole market compatible.
The Middle East can engage this agenda with a straightforward idea: a Euro–Middle East Data Corridor focused on a small number of high‑impact pilots that are easy to translate and replicate. In health, enable cross‑border e‑prescriptions and secure imaging exchange for specialist second opinions with explicit consent, strict audit trails, and clear redress. In climate and environment, combine satellite feeds, municipal sensors, and national meteorology to model dust, heat, and floods in real time and to publish alerts the public can understand. In energy and logistics, share grid, port, and freight data in ways that protect commercial confidentiality while optimizing flows, reducing emissions, and improving resilience. The principles can be written in plain language: only share the data that is necessary; protect privacy first; record every access; apply the same obligations to every participant; align on formats and security suites that pass independent audits.
This cooperation is not about importing a single legal model. It is about co‑shaping practical standards that lower costs and raise reliability for both sides. Safety baselines for high‑risk AI in health and infrastructure, identity frameworks that bridge European and regional e‑ID systems, security configurations that satisfy sector regulators, and regulator‑level transparency for models—basic information about data sources, known limitations, and continuous monitoring plans—are all achievable without revealing trade secrets or weakening competitiveness. The benefit is clarity for procurement, predictability for investors, and faster delivery for citizens.
There is also a necessary shift in how we think about AI. Europe has rightly extended product‑liability logic to software and AI life cycles, but AI increasingly functions as social infrastructure. When a model influences triage, traffic, payments, or hiring, the question is not only whether a product is defective; it is whether the system is monitored, updated, and governed in a way that prevents cascading harm. The sensible answer is continuous audits, minimal but meaningful explainability for supervisors, and a clear division of duty among developers, deployers, and public authorities when risks are systemic rather than isolated. This approach is friendly to investment because it reduces uncertainty and strengthens trust, which is the real currency of digital transformation.
For policymakers and project leaders, the discipline is simple enough to translate. Begin with a precise purpose statement for every data exchange. Document data minimization, consent, and legal basis. Build federated architectures where possible and apply privacy‑enhancing technologies when data must remain in its home jurisdiction. Secure identity and access control, rotate keys and policies on a schedule, and treat certification as a process that updates when the software or model changes. Start small, evaluate independently, and scale only when the results justify it. Prepare joint incident response playbooks before you need them, train public servants and suppliers on privacy and safety, and convene industry and civil society to align incentives and explain safeguards to the public.
Shared sovereignty is a competitive advantage. Europe can prove that scale, speed, and rights are compatible by moving from coordination to execution through a focused Digital and AI Agency. The Middle East can match that ambition through targeted pilots, standards diplomacy, and transparent governance. Done together, this lowers costs, accelerates delivery, and protects people. Data does not wear out, but mishandled data burns trust. Shared sovereignty—applied to data and AI—turns trust into capability.
If you work in policy, health, energy, logistics, or AI and want to co‑design a Euro–Middle East Data Corridor, let us form a working group with two concrete pilots, clear safeguards, and a twelve‑month timetable. The sooner we move from principle to practice, the sooner we deliver public value.




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