Beyond concrete: Enugu’s bet on talent and the future, by Dakuku Peterside
Nigeria has become remarkably good at celebrating what government can photograph. Roads, bridges and public buildings are visible evidence of performance. Yet some of government’s most consequential investments are less tangible: institutions, human capability and systems whose value may emerge only years later. That distinction matters in a federation. Nigeria’s 36 states should be laboratories of development—places where ideas are tested locally and, where successful, replicated. The next phase of national development will depend not simply on how much governments build, but on how intelligently they govern.
Through this lens, Enugu Talent City deserves attention. Its significance is not that Enugu is creating another technology hub. Nigeria already has innovation centres whose ambitions exceeded their outcomes. The more compelling proposition is connecting skills directly to employment and international demand.
This addresses a neglected dimension of Nigeria’s unemployment crisis: the mismatch between what its education system produces and what a changing economy requires. Graduates enter the labour market with certificates but often without employer-ready skills, while companies in software, AI, cybersecurity and data services struggle to find suitable talent. Unemployment and talent shortages can, therefore, exist simultaneously. Enugu Talent City seeks to bridge that divide. Its proposed architecture combines a 750-seat Business Process Outsourcing facility anchored by HUMATRIX at the Old CCB Building with a 2,000-seat Knowledge Process Outsourcing campus at the NCC Digital Industrial Park. The BPO facility will support customer experience, finance, technical support and back-office services, while the KPO campus targets software engineering, AI, cloud computing, cybersecurity and data analytics. But the defining idea is simpler: training must lead somewhere.
Nigeria has no shortage of boot camps, empowerment programmes and certification schemes. Too often, success is measured by how many people were trained rather than by what happened afterwards. Participants collect certificates and return to the same labour market.
Enugu’s model attempts to change that equation. Skills programmes, university partnerships, certifications and job-matching mechanisms are designed to feed into an outsourcing ecosystem. If properly implemented, employability—not enrolment—becomes the measure of success.
Government should ask harder questions: How many people secured jobs? What do they earn? How many remain employed, advance into higher-value roles or start businesses? How much export revenue is created? The BPO-KPO structure is valuable because it creates a ladder rather than a destination. A young person could begin in customer support, gain experience and certifications, and progress into software engineering, AI, data science, cybersecurity or financial services. Digital development must produce careers, not temporary work.
Enugu must, however, resist becoming simply a source of cheap labour for richer economies. Low wages may offer an initial advantage, but another country can always compete more cheaply. Sustainable advantage lies in deeper capability, higher-value services, intellectual property, product development and entrepreneurship. The ambition should be not merely that Nigerians work for global companies from Enugu, but that some eventually build companies serving the world from Enugu.
There is also a lesson about infrastructure. Buildings, computers and broadband do not automatically create innovation. Infrastructure without an operating model can become another expensive public asset searching for purpose. Talent City is more promising because it combines public infrastructure with private-sector execution. Government provides assets and policy support; private operators bring technology, commercial discipline, clients and operational expertise. Global outsourcing depends on pricing, service standards, security and changing technology. These facilities must operate as commercial enterprises, not public institutions wearing technology labels. Reliable electricity, broadband, cybersecurity, privacy protection and recognised compliance standards will matter more than ceremonial openings.
The larger significance is whether Enugu’s logic can travel. Replication should not mean every governor constructs a building called a “Talent City.” What should travel is the model: begin with market demand; design training around employers; use public assets intelligently; attract competent operators; provide reliable infrastructure; measure jobs, earnings, exports and career progression; and create governance arrangements that survive political transitions.
Talent City’s targets—10,000 to 50,000 direct digital jobs and US$150 million to US$500 million in annual digital exports—should be treated as ambitions, not achievements. Credibility will depend on contracts secured, workers employed, retention, productivity and international competitiveness.
Inclusion matters too. Women, people with disabilities, rural residents and young people from low-income households must not be excluded by cost, geography or entry requirements. Technical competence must also be matched by communication, problem-solving, ethics and foundational literacy.
Ultimately, the most important thing Enugu Talent City could build is not a campus. It is a pathway: from learning to work, from work to expertise, from expertise to enterprise, and from local talent to global markets.
If Enugu succeeds, its most important infrastructure may not be made of concrete at all. It will be the invisible architecture connecting people, skills, markets and opportunity—and that may be the lesson Nigeria’s other states should study most carefully.
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