Human Capital: The Missing Link in Africa’s Energy Security And Industrialisation

Across Africa, governments and investors are accelerating plans to build or revamp refineries, gas processing plants, petrochemical complexes, pipelines and storage terminals to industrialise and cut imports of fuels and finished goods. At this time, however, the continent lacks the skilled human capital required to operate, manage and sustain these facilities and deliver the anticipated business results over the long-term without relying heavily on expatriates. 
Africa’s biggest risk in ensuring energy security is not funding, technology or natural resources. It is the absence of a structured pipeline of talent capable of running the continent’s industrial assets efficiently and profitably. As Africa develops its infrastructure, it must systematically develop the people who will run it successfully over the coming decades.

Human capital As An Investment Risk Factor
Downstream projects are typically designed with investment horizons ranging from 10 to 20 years, and often longer. These assets require highly specialised skills across engineering, operations, safety management, environmental compliance and digital monitoring systems. However, the African professionals who will initially lead and implement such projects may retire or move on within a few years. Without structured succession planning and skills development, there is no guarantee that the next generation of critical African operations management professionals will possess the required expertise.
This challenge is particularly evident in the refining sector. Despite holding around eight per cent of global oil reserves, Africa remains heavily dependent on imported refined petroleum products. Many refineries operate below global efficiency levels, with utilisation rates averaging roughly 40 per cent compared with more than 70 per cent globally. More refineries shut down in Africa for operational reasons than elsewhere.
While ageing infrastructure and financial constraints have remained key concerns, skill shortages across the operational workforce have been a silent killer. Refinery operations demand expertise in process optimisation, equipment reliability, safety management and complex digital control systems. When these capabilities are limited, plant efficiency declines and operational risks increase.
For investors, this creates uncertainty. Capital-intensive energy projects rely on stable operational capacity over decades. If investors cannot see evidence of a sustainable talent pipeline, the perceived risk of long-term investments rises significantly. In other words, human capital is not merely a workforce issue; it is an investment risk factor.

Lessons From The Covid-19 Pandemic, Local Capacity
The COVID-19 pandemic provided a demonstration of the risks associated with skills dependence. When international travel restrictions disrupted global supply chains and movement of technical experts, many energy projects across Africa slowed or halted. Facilities that relied heavily on expatriate engineers struggled to maintain operations.
Meanwhile, projects with stronger local participation and expertise proved more resilient. Operations where African engineers and technicians were deeply embedded in technical processes continued functioning more effectively despite the global disruption.
The continent still relies too heavily on expatriate quotas. While international knowledge transfer remains valuable, long-term sustainability requires the development of local professionals who understand both the technical systems and the regional operating environment.
For Africa, this is not simply a matter of workforce localisation. It is a strategic imperative in achieving economic sovereignty, energy security and industrial competitiveness.

Youthful Population, Skills Paradox
Africa’s great advantage is that nearly 60 per cent of its population is under the age of 25, representing the world’s largest emerging workforce. With proper training, this generation could form the backbone of the continent’s industrial transformation. The global energy transition is expected to create millions of new jobs in energy production, infrastructure development and digital energy management. Africa can capture a significant share of these opportunities if it aligns education systems with emerging industry needs. However, without deliberate investment in training and capacity building, this demographic advantage could be lost.
Despite Africa’s large and youthful population, companies across the continent consistently report difficulty finding skilled professionals in specialised technical fields. Several structural barriers explain this paradox.
First, academic training often fails to match industry needs, leaving many engineering graduates without practical experience in refinery operations, digital process controls, or industrial safety systems. Second, the sector faces a shortage of specialised operational profiles, particularly in areas such as advanced process control, equipment reliability, and plant turnaround planning. Third, brain drain continues to affect the energy sector, as skilled professionals migrate to other industries or regions offering more competitive opportunities.
Finally, lack of strong coordination between universities, industry, and government often leads to fragmented training initiatives that do not meet real labour market demands.
The result is a cycle in which companies struggle to recruit qualified staff, while graduates struggle to find employment in specialised technical roles. Breaking this cycle requires systemic collaboration rather than isolated training programmes.

Artificial Intelligence, Future Workforce
The rise of artificial intelligence and digital technologies adds a new dimension to Africa’s energy skills challenge. Modern energy infrastructure increasingly relies on digital monitoring systems, predictive maintenance algorithms and real-time data analytics. These technologies require professionals who can combine engineering knowledge with digital competencies.
AI can also support human capital development itself. Adaptive learning platforms can analyse individual performance and customise training pathways, while digital tools can map skill gaps across organisations and forecast future workforce needs.
However, AI also introduces new energy demands. ...