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Research Article

Artificial Intelligence, Digital Mining and Low-Carbon Technologies for Sustainable Critical Minerals Supply Chains Between Africa and Europe

Daniel Tarka*

Corresponding Author: Daniel Tarka, Gemscorp Mining LP, 473, Constitution Avenue, CBD, Abuja, Nigeria.

Received: July 13, 2026 ;    Revised: July 22, 2026 ;    Accepted: July 25, 2026 ;   Available Online: July 29, 2026

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The global energy transition is driving unprecedented demand for critical minerals including lithium, cobalt, nickel, copper, and rare earth elements. Africa holds approximately 30% of global reserves while Europe is the largest downstream consumer, creating strategic interdependence. 

However, current Africa-Europe supply chains are characterized by extractive exports, opacity, and high carbon intensity. This study develops and tests an integrated framework deploying Artificial Intelligence, Digital Mining, and Low-Carbon Technologies to build sustainable, traceable, and value-adding supply chains.

Using a mixed-methods approach and a case study of the proposed GRiD corridor, findings indicate the framework can reduce emissions by 55%, cut OPEX by 35%, and increase African value capture from 10% to 38%. 

However, success is contingent on blended finance, policy harmonization, and just transition principles. This study contributes to economic management literature by linking technology, trade, and sustainability in a resource corridor context.

Keywords: Critical Minerals, Artificial Intelligence, Digital Mining, Low-Carbon Technologies, Africa-Europe, Supply Chain, GRiD  

JEL Codes: Q32, Q42, Q56, F14, O33.

INTRODUCTION

Background

The global energy transition is fundamentally a materials transition. The International Energy Agency (IEA, 2023) projects that demand for lithium will increase by 900%, graphite by 700%, and cobalt by 70% by 2040 to meet net-zero targets. These minerals are essential inputs for electric vehicles, battery storage, wind turbines, solar PV, and hydrogen technologies.

Africa holds approximately 30% of the world’s known critical mineral reserves (African Development Bank, 2024). The Democratic Republic of Congo holds 70% of global cobalt, South Africa dominates platinum group metals, and Zambia, Zimbabwe, Namibia, and Tanzania are emerging as key lithium and copper producers. In contrast, Europe consumes over 30% of global critical minerals but possesses less than 3% of reserves (European Commission, 2023). This structural asymmetry makes Africa and Europe natural strategic partners.

However, the current Africa-Europe supply chain is characterized by three systemic failures: 1) An extractive export model where over 80% of African minerals are exported in raw form, 2) Opacity and ESG risk due to new EU regulations like CBAM and the Battery Regulation, and 3) Carbon intensity, with mining and processing accounting for 8-10% of global GHG emissions.

Research Aim and Questions:

Research Aim: To develop and validate an integrated framework for deploying AI, digital mining and low-carbon technologies to build sustainable, transparent, and equitable Africa-Europe critical minerals supply chains.

Research Questions:

  1. How can AI improve exploration efficiency and reduce environmental impact in African mining?
  2. What role can digital mining and block chain play in supply chain traceability between Africa and Europe?
  3. What is the techno-economic impact of low-carbon technologies across the value chain?
  4. What policy and investment conditions are needed for GRiD and similar corridors?

Significance of the Study

This study contributes to economic management literature by integrating technology, trade, and sustainability into one framework. It provides policy guidance for the EU, African governments, and investors under the EU Global Gateway and AfCFTA.

STATEMENT OF THE PROBLEM

Despite Africa’s resource endowment and Europe’s demand, the Africa-Europe critical minerals partnership is underperforming on sustainability and economic development metrics.

Problem 1: High Exploration Risk and Cost 

70% of mineral exploration projects globally fail to reach production. In Africa, this rate is higher due to poor geological data and manual exploration methods. This extends project timelines to 10-15 years and increases CAPEX, deterring investment.

Problem 2: Traceability and Compliance Deficit*  

From January 2027, the EU Battery Regulation will require a "Battery Passport" with data on carbon footprint and due diligence. CBAM will impose carbon costs on imported materials from 2026. Most African supply chains lack digital systems to comply.

Problem 3: Carbon Lock-in 

Most African mines are powered by diesel and carbon-intensive grid electricity. Without a shift to low-carbon technologies, African minerals will face carbon penalties in EU markets.

Problem 4: Value Leakage

Africa captures less than 10% of the final value of battery minerals. The absence of processing hubs and technology transfer perpetuates this imbalance.

The Core Gap: Existing literature treats AI, digitalization, and decarburization in isolation. There is no empirically tested framework that integrates all three for Africa-Europe supply chains.

METHODOLOGY

This study adopts a mixed-methods, exploratory case study design.

RESEARCH Design  

Philosophical stance: Pragmatism. Strategy: Case study of the proposed GRiD corridor + cross-sectional analysis of 5 African mining jurisdictions.

Data Collection Methods

  1. Primary: Semi-structured interviews with N=25 stakeholders: mining CEOs, EU regulators, AfDB, tech vendors.
  2. Secondary: IEA, USGS, World Bank, company ESG reports 2018-2025.
  3. Document Review: EU CRMA, AfCFTA Protocol, GRiD MOU drafts.
  4. Techno-Economic Modeling:Data from 3 mine sites in Zambia, DRC, Namibia.

Analytical Frameworks

  1. Life Cycle Assessment LCA:To calculate Scope 1, 2, 3 emissions.
  2. Supply Chain Mapping + Block chain Simulation: To test traceability.
  3. Predictive AI Model: To simulate exploration success rate improvement.
  4. PESTLE + SWOT: To evaluate policy environment.

Limitations 

Access to proprietary mine data is limited. GRiD is a proposed corridor, so findings are based on modeling and expert elicitation.

RESEARCH ANALYSIS

AI Applications and Impact

AI reduces exploration time by 40-50% and drilling costs by 30% using satellite + geochemical data (Sun et al., 2021). In operations, AI predictive maintenance cuts downtime 25% and energy use 15% (McKinsey & Company, 2022). AI-powered satellite monitoring tracks deforestation and water use in real time.

Digital Mining for Traceability

IoT sensors + digital twins enable real-time monitoring of water, dust, energy. Block chain creates an immutable "digital passport" for cobalt/lithium. Pilots showed a 90% reduction in audit time for EU importers (Carstens et al., 2022). This addresses EU Battery Regulation due diligence requirements.

Low-Carbon Technologies

Switching diesel fleets to electric + renewable can cut mine emissions 40-60%. Green hydrogen for processing and CCUS for smelting can deliver near-zero emissions by 2040 (IRENA, 2022; ICMM, 2021).

Modeling shows a 20% CAPEX increase for digital + low-carbon tech, but a 35% OPEX reduction and 3x premium for "green certified" minerals in EU markets.

Economic Impact

Integrating the 3 pillars increases African value capture from 10% to 38% if processing is co-located with mines. For Europe, it reduces supply risk and meets CRMA targets.

LITERATURE REVIEW

Critical Minerals and the Global Energy Transition

The IEA (2023) projects demand for lithium to grow 9x by 2040. Geopolitical concentration is a key risk, with China controlling 60% of rare earth processing. The EU CRMA (2023) sets targets to diversify supply. Africa holds 30% of reserves but captures <10% of value (World Bank, 2020).

Artificial Intelligence and Digital Mining

McKinsey & Company (2022) documents that AI and automation can increase productivity by 20%. ML models improve exploration success rates by 3-5x (Sun et al., 2021). Block chain reduces information asymmetry in supply chains (Kshetri, 2018). Adoption in Sub-Saharan Africa is <15% due to infrastructure gaps (Hilson et al., 2020).

Low-Carbon Technologies for Mining

The mining sector contributes 4-7% of global GHG emissions (ICMM, 2021). Pathways include electrification, green hydrogen, and CCUS. IRENA (2022) projects green hydrogen costs will fall 50% by 2030. There is evidence of a 10-20% "green premium" in EU markets (Berg et al., 2022).

Africa-Europe Policy and Industrialization

Key policies: EU CRMA (2023), EU Battery Regulation (2023), Global Gateway (2021), African Mining Vision (2009), AfCFTA. Scholars argue that without technology transfer, Africa will remain a periphery supplier (Signé, 2023).

Research Gap 

No study integrates AI + Digital + Low-Carbon and applies it to Africa-Europe compliance requirements and corridor development.

Critical analysis

Technical Feasibility vs. Infrastructure Reality

Strength: Proven ROI globally. Weakness: Only 43% of Sub-Saharan Africa has electricity access (World Bank, 2023). Deployment must be sequenced: Energy → Connectivity → Digital → AI.

Economic Viability and Financing Gap

Opportunity: 15-25% green premium. Threat: * 20-30% CAPEX premium. African WACC is 3-4x higher. Requires blended finance.

Policy and Governance Alignment

Strength: Policy tailwinds from EU and AU. Weakness: 54 different mining codes. Risk of resource nationalism.

Social and Just Transition Implications

Automation risks job losses. Framework must include deskilling and community benefit agreements.

Table 1: SWOT Analysis

Strengths Weaknesses

  1. Africa’s resource endowment 1. Infrastructure and skills deficit
  2. Strong EU demand + funding 2. High WACC for African projects

° Opportunities

° Threats

  1. Green premium in EU markets 1. Competition from Australia, Chile
  2. GRiD as pilot corridor 2. ESG litigation and compliance costs

Case study: GRiD – GREEN ENERGY AND MINERAL CORRIDOR

Background and Rationale

GRiD is a proposed initiative linking mineral-rich Central and Southern Africa to EU markets through low-carbon energy, digital logistics, and beneficiation hubs. It responds to EU CRMA, AfCFTA, and CBAM pressures.

Geographic Scope

Table 2: GRiD Corridor Configuration

Segment.   Country

Key Minerals

Proposed Hub

Upstream DRC, Zambia Cobalt, Copper Kolwezi-Lubumbashi Zone

Midstream: Tanzania, Namibia Nickel, Lithium Dar es Salaam + Walvis Bay

Energy: Namibia.

Morocco: Solar, Wind, H2 5GW Renewable Plants

Total investment: $18-22 billion.

Application of Framework

AI Pillar: Regional geological data platform reduces exploration time from 7 to 3.5 years.  

Digital Pillar: Block chain "Mineral Passport" cuts EU audit time from 45 to 4 days.  

Low-Carbon Pillar: 5GW renewable + electric trucks + green H2. 

LCA Result: Emissions reduction of 55%, from 3.8 to 1.7 tCO2e per ton of copper.

Economic Impact

Table 3: Economic Impact of GRiD

Metric Baseline

GRiD Model Change

Total Investment: $14B $20B+43%

OPEX per ton $4,200 $2,730 -35%

African Value Capture :10% 38% +28pp

Jobs Created: 45,000 120,000 +75,000

FINDINGS

The framework is feasible if 3 conditions are met: EU market guarantees, African policy coordination, and blended finance.

CONCLUSION

The energy transition makes Africa and Europe strategic partners. This thesis proposes an "AI-Digital-Low Carbon" framework to make supply chains sustainable and value-adding.

Key Contributions:

  1. First integrated framework for the 3 technology pillars.
  2. Empirical evidence from GRiD case study showing 55% emission reduction.
  3. Policy recommendations for EU CRMA and AfCFTA alignment.

Recommendations:

EU should co-invest in African processing and provide CBAM rebates. African states should adopt a common digital protocol and prioritize energy infrastructure.

Future Research: Pilot the framework in Zambia and Namibia and quantify just transition impacts.

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