The contemporary global order is undergoing a fundamental and highly volatile reconfiguration. Traditional metrics of national power, such as military hardware, territorial expanse, and conventional diplomatic reach, are being rapidly superseded by the control of digital systems. This technological evolution has birthed a borderless digital battlefield characterised by persistent, low-level competition involving code, data, and interconnected networks. In this landscape, states increasingly fear being systematically disabled rather than physically invaded.
Within the Middle East, North Africa, and Pakistan (MENAP), this shift is defined by an intense tech-geopolitical rivalry between the United States and China, which forces middle powers into a dangerous state of technological dependency.
The dual-pronged catastrophe of algorithmic warfare encompasses: first, the deployment of unaccountable artificial intelligence decision-support systems (AI DSS) that automate lethality, cause massive, illegal civilian casualties, and severely erode human judgment; and second, the structural threat of remote infrastructure “bricking” executed by foreign technological monopolies.
To preserve strategic autonomy, the MENAP region, coordinated through the Organization of Islamic Cooperation (OIC), must reject premature technological or regulatory integration with external blocs. The region must instead pursue a strict “Independence First” strategy, consolidating local human capital on a unified regional forum and building a completely self-sufficient sovereign infrastructure stack.
Algorithmic Warfare: Automated Carnage and the Erasure of Human Judgment
The militarisation of artificial intelligence has transitioned from theoretical research into active, devastating deployments across West Asia. Rather than acting as a tool for precision, military AI has functioned as an accelerant of automated carnage, resulting in high rates of unlawful deaths. This shift is characterised by “decision compression,” the radical reduction of the time window between target detection, algorithmic analysis, recommendation, and kinetic strike.
In active conflict zones, the integration of AI into battle-management and targeting systems has had catastrophic consequences for civilian populations, systematically undermining the core tenets of international humanitarian law (IHL). In particular, these systems violate the principle of distinction, which prohibits the direct targeting of civilians, and the principle of proportionality, which forbids attacks where civilian harm outweighs the direct military advantage.
| The Catastrophic Loop of Algorithmic War |
|---|
| 1. Mass Surveillance: Continuous data harvesting of populations |
| 2. Data Fusion: Biometric, network, and metadata aggregation |
| 3. Algorithmic Score: Binary classification of life (Target / Safe) |
| 4. Decision Compression: Human validation reduced to seconds |
| 5. Kinetic Strike: Mass civilian casualties & legal impunity |
The core failure of these military AI platforms lies in the de-skilling of human operators. As AI systems generate recommendations at speeds and volumes far exceeding human cognitive capacity, operators develop “automation bias”. Human oversight is reduced to a perfunctory administrative rubber-stamp, effectively treating machine-generated probabilities as infallible commands. This erasure of meaningful human judgment on the battlefield has resulted in thousands of unlawful deaths, transforming military operations into assembly-line systems of destruction that privilege speed over the preservation of human life.
Case Studies in Algorithmic Destruction: The US-Iran War
The late-February 2026 US-Israeli strikes on Iran pushed the military use of artificial intelligence to the absolute centre of global security debates. During this war, AI-enabled tools were deployed at an unprecedented scale as part of a broader operational architecture for intelligence fusion, automated target development, and strike planning.
The catastrophic toll of this automated campaign was defined by extreme decision compression, with US forces striking more than 2,000 targets in just four days. Under Operation Epic Fury, the US military hit 1,000 targets in Iran within a single 24-hour window. The primary driver of this scale was the Pentagon’s deployment of Palantir’s Maven Smart System (MSS), which integrated the computer vision algorithms of Project Maven with Anthropic’s Claude AI to automatically analyse satellite imagery, drone feeds, and radar signals to generate target lists and automate target prioritisation.
However, Project Maven delivered highly volatile and catastrophic results in the field. In desert terrains, where weather and environmental conditions change landscapes abruptly, Maven’s target-detection accuracy plummeted to below 30 per cent, frequently misidentifying civilian objects and decoys. Despite these extreme technical failures, the US Department of War pushed ahead with its “AI-first” warfighting doctrine.
Furthermore, to secure these lucrative contracts, major Silicon Valley developers, including OpenAI, quietly changed their terms of use to insert “national security” exemptions and removed long-standing commitments that prohibited their clients from using AI for weapons and mass surveillance.
This corporate capitulation left targeting decisions in the hands of flawed algorithms, which frequently relied on overbroad and unlawful classification criteria, such as treating any “military age male” in a designated zone as an active combatant. This algorithmic bias, combined with the rapid de-skilling of military personnel who blindly trusted the machine’s outputs, resulted in hundreds of unlawful civilian deaths.
The Imperialist Tech Duopoly and the “Bricking” Threat
For the nations of the MENAP region, the geopolitical implications of this automated warfare are compounded by a profound structural vulnerability. The global digital order is heavily polarised into competing normative frameworks: the US-led liberal platform model and the Chinese state-driven surveillance model.
Most developing nations operate as “infrastructure colonies” or “renters,” relying entirely on hardware, cloud hosting, and enterprise software designed, owned, and regulated by these two superpowers.
| The Tiers of Data Hegemony | |
|---|---|
| Infrastructure Owners: United States, China | Set standards, extract global data value, control the hardware. |
| Infrastructure Renters: Most Developed Nations | Lease cloud, enterprise software, and AI models under foreign terms. |
| Infrastructure Colonies: Highly Dependent States | Yield data and local markets without regulatory or physical control over underlying networks, DNS, or silicon pathways. |
This absolute systemic reliance on foreign technology exposes MENAP states to the immediate threat of a remote “kill-switch” or software-level disabling, an infrastructure “bricking” scenario. The strategic danger of this arrangement was made manifest in 2025, when US government sanctions levied against International Criminal Court (ICC) personnel led to the immediate termination of their access to Microsoft cloud services, forcing a sudden, disruptive transition to the open-source OpenDesk suite.
This vulnerability is further exacerbated by the extraterritorial reach of superpower export regulations. Under the US Bureau of Industry and Security (BIS) “Affiliates Rule,” any foreign entity that is 50 per cent or more owned by a restricted Chinese firm, such as Huawei, is automatically subject to US sanctions.
For MENAP nations trying to maintain a “dual-stack” technology posture, such as hosting Chinese telecommunications and cloud facilities while procuring advanced US silicon, this creates a volatile compliance tripwire. Under these rules, the presence of Chinese hardware, such as Huawei Ascend chips, anywhere in a national network can trigger the immediate revocation of US software licenses, update patches, and database access.
Consequently, any state relying on these commercial platforms is effectively leasing its national security and administrative functions to entities that are legally and strategically subordinate to foreign powers.
The Technical Blueprint: A Comprehensive Sovereign Infrastructure Stack
To survive this era of technological imperialism, the MENAP region must transition from technology buyers to technology builders, asserting absolute control over their own digital pathways.
Digital sovereignty is not merely a legal concept; it is an active capacity determined by the architecture of the technology stack. If any external control plane is required for a national system to function, the dependency is real, regardless of what is written in a contract.
To build true strategic autonomy, MENAP nations must construct a comprehensive, self-contained sovereign infrastructure stack that secures four critical control planes:
| Control Plane | Sovereign Requirement |
|---|---|
| Identity Plane | On-premises, encrypted, federated communication systems (Matrix, Element) completely isolated from foreign servers. |
| Management Plane | Localised instances of DNS Root Servers (IMRS) and BGP Anycast routing to maintain internal network continuity. |
| Data & Compute Plane | In-region hyperscale data centres (HUMAIN, Moro Hub) governed strictly by national personal data protections. |
| Network Plane | SDN architectures using open-source protocols (NETCONF/YANG) and diversified physical subsea routing (PEACE cable). |
The Identity and Communications Plane
Governments must systematically replace foreign proprietary communication platforms, such as Slack, Microsoft Teams, and WhatsApp, with secure, federated, and self-hosted open-source alternatives. Deploying decentralised networks built on the open Matrix protocol, such as Element, ensures that inter-agency communications, cabinet-level discussions, and administrative workflows run entirely on local servers, protected by end-to-end encryption and immune to remote lockout by foreign corporate gatekeepers.
The Management and Domain Name System (DNS) Plane
To protect regional network directory resolution during a global geopolitical crisis, MENAP states must host local instances of Domain Name System root servers, such as the ICANN Managed Root Server (IMRS). By deploying Border Gateway Protocol (BGP) Anycast routing, regional networks can announce identical root server IP addresses from multiple physical locations within their own borders. This ensures that local internet routing remains fully operational and resilient against external Distributed Denial of Service (DDoS) attacks, even if global physical fiber connections are severed.
The Data and Compute Plane
Critical public workloads, specifically in healthcare, finance, energy, and national administration, must reside within regional borders, housed in capital-intensive, sovereign-backed data centres. Examples of this localised capacity building include Dubai’s solar-powered, 100-megawatt Moro Hub and Saudi Arabia’s $1.2 billion investment in the HUMAIN data centre pipelines. Data sovereignty requires that the data used for model training, the real-time execution of inference, and the resulting algorithmic weights remain strictly inside the sovereign perimeter, subject only to local laws.
The Network and Transport Plane
Control over the physical layer of the internet requires Software-Defined Networking (SDN) utilising transparent, standardised, and open-source protocols, specifically the Internet Engineering Task Force (IETF) NETCONF and YANG models. Physical routing must be diversified to bypass hostile chokepoints and former colonial bottlenecks. This physical redundancy is achieved through projects like Pakistan’s integration of the PEACE submarine cable (providing a direct route to China bypassing India) and Algeria’s partnerships with Italy’s Sparkle and Medusa Submarine Cable Systems to bypass French network controls.
Mobilising the OIC: “Independence First” Policy
The massive capital, energy, and human resource requirements needed to build this comprehensive sovereign stack exceed the individual capacity of most middle powers. The OIC, representing fifty-seven member states spanning three continents, is the only regional platform capable of synchronising this strategy.
However, this strategy must reject the conventional model of premature integration. Attempting to align MENAP’s technical standards or regulatory frameworks with the European Union, such as the GDPR or the EU AI Act, or ASEAN, under the Hanoi Digital Declaration, before achieving domestic operational capability is a strategic error.
Premature interoperability will force the region to inherit pre-configured foreign assumptions, legal liabilities, and technical backdoors before it has developed the capacity to defend its own digital borders. The mandate must be “Independence First.”
True digital independence requires the mobilisation of regional human capital to ensure that cybersecurity, network administration, and AI defence are not “black boxes” operated by foreign defence contractors, but are native, sovereign capabilities. We propose that the OIC, through the Standing Committee on Scientific and Technological Cooperation (COMSTECH), establish a unified regional talent and R&D forum:
| OIC-COMSTECH Regional Talent Forum | |
|---|---|
| 1. Scholarship Pipeline | Unified funding for advanced degrees in AI, cryptography, and cybersecurity across OIC universities. |
| 2. Return Grants | Financial and structural incentives to attract the diaspora and fund independent, regional research laboratories. |
| 3. Sector-Specific R&D | Focused development of small, energy-efficient, and culturally aligned domain-specific models. |
Regional Scholarship Pipeline
The OIC must scale up existing academic programmes, such as the COMSTECH-University of Lahore scholarship initiatives, providing fully funded undergraduate and postgraduate training in advanced computing, artificial intelligence, and cybersecurity.
Early Career Return Grants
To counter the critical brain drain affecting the region, COMSTECH must establish a dedicated fund for “Early Career Return Grants”, modelled on the CRP-ICGEB scheme, providing young scientists and engineers with the capital and laboratory resources needed to return and establish independent research labs within the MENAP region.
A Unified Regional AI Forum
The OIC must establish a centralised scientific and engineering body to focus regional R&D on smaller, highly efficient, domain-specific inference models, specifically for AgriTech, HealthTech, and GovTech. These models require significantly less energy and computational power than massive Western generative architectures, allowing regional states to achieve self-reliance without being trapped in the U.S.-China “compute marathon”.
Policy Recommendations
To transition from a zone of technological dependency to an autonomous region of strategic digital sovereignty, MENAP governments and the OIC must implement the following policy measures:
- Mandate Software Bills of Materials (SBOMs): Governments should legally require a comprehensive, transparent SBOM and custody audit trail for all software and hardware components procured for critical national infrastructure. This is essential for identifying and utilising local capabilities to neutralise hidden backdoors, unauthorised telemetry, or remote “kill-switches” before systems are deployed.
- Form a Pan-Regional OIC Compute and Cloud Grid: Member states should pool sovereign capital to co-develop a regional high-performance computing network, sharing the immense energy and infrastructural costs associated with gigawatt-scale data centre facilities.
- Establish Localised “Data Refineries”: Develop secure, standardised data-exchange environments that format regional datasets in model-agnostic, open-source formats. This guarantees “exit capability,” allowing public-sector entities to rapidly migrate workloads and data from one cloud provider to another without operational delay or punitive licensing costs.
- Institutionalise Ministerial Geopolitical Risk Units: Ministries of Defence and Information Technology must establish dedicated geopolitical risk functions to run continuous “tech decoupling” stress tests. These simulations should model the immediate economic and security implications of a total loss of access to specific hardware or software stacks, ensuring the readiness of analogue and open-source backup protocols.
Muhammad Amen Ehsan is an emerging researcher specializing in Digital Governance, Cybersecurity, and the strategic deployment of Artificial Intelligence. He is currently pursuing an MSci in Computer Science at King’s College London, where he was recently elected as President of the King’s College London AI Society for the 2026–2027 term.




