The 1.2 Billion Question: Can Emerging Economies Create Enough Jobs?

The demographic expansion of the Global South is not a forecast subject to revision. The 246 million young people aged 15 to 24 currently living in Sub-Saharan Africa, projected to reach 281 million by 2030 according to the UN Population Division’s World Population Prospects 2024, are people who already exist. Their entry into the labour market is a function of age, not policy. What varies — what can be shaped, accelerated, redirected or foreclosed by the decisions that governments, investors and international institutions make over the next decade — is not whether these workers will appear, but what they will find when they do. Employment that is formal, productive and covered by social protection. Employment that is informal, subsistence-level and outside the tax base. Or no employment at all.

The ILO projects that 90 per cent of global workforce growth between 2024 and 2040 will occur in developing and emerging economies. Sub-Saharan Africa alone accounts for 12 to 15 million net new workers each year — a figure that will compound as the youth cohort currently in primary school reaches working age. South Asia adds approximately 11 million annually, with India accounting for the largest share of that regional total. Latin America and Southeast Asia contribute smaller but still substantial inflows into economies at very different stages of structural development. The aggregate figure most frequently cited — one billion new labour force entrants over two decades — is a reasonable approximation of what the ILO data describes. It is also, as an arithmetic statement, a conservative one. The question this article addresses is not whether the Global South has a demographic opportunity. It is whether that opportunity is being converted into the productive employment that would make it a dividend rather than a liability.

Sub-Saharan Africa is the defining case for the global employment challenge of the coming decades, for the straightforward reason that its demographic expansion is the fastest and its institutional and industrial capacity for labour absorption is the weakest of any major world region. A median age of 18.8 years means that the region’s modal citizen has not yet entered the formal labour market. A working-age population that grows from 695 million in 2024 to a projected 1.1 billion in 2040 represents a 58 per cent increase in 16 years. The dependency ratio — currently supported by a relatively young but not yet fully employed workforce — will shift as this cohort ages without the pension systems, social insurance and formal employment infrastructure that would allow it to transition from productive contributor to economically secure retiree.

Sub-Saharan Africa’s GDP growth projections of 4 to 5 per cent per year, while positive in aggregate, do not translate directly into employment absorption at the required pace. The manufacturing employment share across the region has stalled at 6 to 9 per cent of the workforce, according to UNCTAD’s Economic Development in Africa Report 2024 — far below the 25 to 30 per cent peaks reached by the East Asian economies during their high-absorption decades, and well below the levels at which manufacturing employment becomes a genuine engine of structural transformation. The employment elasticity of manufacturing output in Sub-Saharan Africa is approximately 0.4, according to World Bank and ILO Africa’s Pulse 2024 data: that is, a one per cent increase in manufacturing GDP creates a 0.4 per cent increase in manufacturing employment. The multiplier is real but insufficient at the current scale of the industrial base.

The standard development narrative of the twentieth century proposed a sequential employment ladder: agricultural workers move into light manufacturing as industrialisation begins; manufacturing wages rise and capital deepens; workers transition into services; and the economy climbs toward high-income status. South Korea, Taiwan, Japan and, in the largest instance, China all followed variations of this path. Each did so under specific conditions — a particular configuration of global demand, trade openness, investment flows and technology availability — that may not replicate for economies attempting the transition in the 2020s and 2030s.

China’s manufacturing employment peaked at 32.5 per cent of its workforce in 2006, according to World Bank World Development Indicators, before moderating to 27.4 per cent as the economy pivoted toward higher-value services and automation. The window during which China offered a large, low-cost industrial workforce to global supply chains was not an unlimited structural feature; it was a timed demographic and institutional opportunity that China exploited with exceptional policy consistency. The World Bank’s World Development Report 2024 documents what it calls premature deindustrialisation: the phenomenon by which late-industrialising countries are seeing their manufacturing employment shares stagnate or decline before reaching the levels that would enable the structural transformation that earlier industrialisers achieved. Industrial 4.0 automation and reshoring to automated facilities in higher-wage economies are reducing the global demand for the low-skill, labour-intensive manufacturing that historically provided the entry point for economies at Sub-Saharan Africa’s current stage of development.

The most instructive comparison in the contemporary Global South employment landscape is not between high-income and low-income economies, but between three developing economies that made different bets on manufacturing at different moments, and are now experiencing the consequences of those choices with unequal degrees of vulnerability to the automation that is redefining what manufacturing employment means globally.

Vietnam’s manufacturing share of employment rose from 12 per cent in 2010 to 21.4 per cent in 2024, according to World Bank and ILO World Development Indicators. The mechanism was deliberate: a policy environment that prioritised electronics assembly investment from Samsung, Intel and Foxconn, generating anchor employment that was higher-value and more complex than the garment manufacturing that characterised the earlier phase of Vietnam’s industrial development. Electronics assembly, with a Routine Task Intensity score of 0.62 on the 0 to 1 scale — measuring the degree to which work consists of repetitive, rule-based tasks — faces an estimated automation risk of 35 to 42 per cent, according to the World Bank and ILO’s World Development Report 2024 and The Future of Work in Asia and the Pacific. The need for human dexterity in complex assembly provides a partial buffer. Vietnam’s real wages grew 5.8 per cent in 2024, the strongest performance among comparable economies, underpinned by a 6 per cent nominal minimum wage increase in July 2024 that translated to approximately 3.5 per cent in real terms.

Bangladesh presents the contrasting case. Manufacturing employment stands at 14.4 per cent of the workforce, but 80 per cent of the country’s exports are concentrated in the Ready-Made Garment sector. Garment manufacturing carries an RTI score of 0.78 and faces an estimated automation risk of 47 to 60 per cent, driven by Sewbot technology and automated cutting systems. The sector’s low margins create structural pressure on brands to automate as Sewbot economics improve: unlike electronics, where the complexity of assembly sustains a human premium, the economics of automated garment production may become compelling within the window that Bangladesh needs to build alternative export capacity. Female LFPR has risen from 24 per cent in 2010 to 38.2 per cent in 2024 on the back of the RMG sector, creating a direct channel from industrial employment to female participation. Automation of the sector would be a compound structural shock — simultaneously an employment crisis and a female participation reversal.

Ethiopia’s trajectory illustrates a third path: the attempt to follow the manufacturing ladder at a later stage, disrupted by conflict before the industrial base was deep enough to sustain itself. Manufacturing employment stands at 5.8 per cent of the workforce. Informality is 88.4 per cent. The conflict of 2020 to 2022 disrupted industrial zone development in Tigray and the surrounding regions, set back the investment pipeline from Chinese and other investors, and diverted fiscal resources from industrial policy to security expenditure. Ethiopia’s demographic pressure — a young population with high expectations of employment that its industrial base cannot yet meet — is accumulating while the policy environment recovers. Nigeria, with manufacturing at 5.2 per cent and informality at levels comparable to Ethiopia, faces a similar structural position but with the additional complication of an economy still structured around oil revenue that has limited incentive to develop the manufacturing and services employment base that its demographic profile requires.

Informality is not a transitional phase that economies graduate from as they develop. It is, for the majority of the Global South workforce, the permanent structural condition of employment. Sub-Saharan Africa records 89.2 per cent informal employment; South Asia 89.7 per cent, according to ILO World Employment and Social Outlook 2025 data. These are not economies with a large informal sector adjacent to a formal core; they are economies in which the informal sector is the core, and formal employment is the margin. Latin America at 53.4 per cent and Southeast Asia at 71.3 per cent represent different stages of formalisation, but even Latin America — the furthest along in formal sector development among major developing regions — has more than half its workforce outside formal employment structures.

The gendered dimension of informality adds a structural multiplier. In Sub-Saharan Africa, female informality reaches 92 per cent against male informality of 86 per cent, according to ILO WESO 2024 data. Women are disproportionately concentrated in the most precarious, least protected and lowest-productivity segments of the informal economy: home-based work, subsistence agriculture, domestic service and petty trade. The productive and fiscal consequences are symmetric: informal workers generate output that contributes minimally to the tax base, receive no social protection from the state, and have no pathway to the pension, healthcare and social insurance systems that would convert the demographic bulge from a fiscal liability into a manageable transition. Sub-Saharan Africa’s informality rate of 89.2 per cent, combined with its projected 58 per cent increase in working-age population by 2040, describes an economy in which the state’s capacity to fund public goods from formal sector revenue will shrink relative to the demand for those goods even as the population — and the labour force — grows rapidly.

The NEET rate — the share of young people aged 15 to 24 not in education, employment or training — is the most structurally revealing single statistic in the Global South employment dataset, because it measures not just unemployment but the complete disconnection of a young person from any pathway toward productive economic life. South Asia records 28.4 per cent NEET according to ILO Global Employment Trends for Youth 2024, meaning more than one in four young people in the region is building neither skills nor work experience. MENA records 27.2 per cent. Sub-Saharan Africa records 20.5 per cent — lower than South Asia, but in a context where the informal employment that reduces the NEET count provides subsistence rather than development, and where the absolute numbers are growing faster than anywhere else in the world.

The gender composition of NEET rates is essential context. In MENA and South Asia, the NEET rate is structurally female-driven: young women are removed from education, employment and training at rates dramatically higher than young men, primarily through early marriage, care responsibilities and cultural barriers to formal labour market participation. In Sub-Saharan Africa, male and female NEET rates are closer to parity, reflecting a labour market in which the informal economy provides a form of activity for both sexes while offering productive employment to neither. South Africa’s youth unemployment rate of 45.5 per cent — an extreme outlier even by regional standards — illustrates what happens when a structurally unequal economy, a small formal sector and a legacy of spatial and educational exclusion combine with a demographic youth bulge: an entire generation is frozen out of the productive economy not for want of ambition, but for want of a formal employment structure capable of receiving them.

Female labour force participation is the most significant unexploited productivity reserve in the Global South, with the specific profile of that reserve differing sharply by region. Sub-Saharan Africa records the highest female LFPR of any major developing region at 61.2 per cent, according to ILO ILOSTAT 2024. Southeast Asia follows at 58.9 per cent, with Vietnam at 69.2 per cent leading the regional average upward. Within the region, Ethiopia reaches 71.5 per cent, the highest of any country examined in this analysis, reflecting an economy in which women’s participation in agriculture and informal trade has always been structurally normal. Nigeria, with a more urbanised and economically diverse profile, records 52.4 per cent.

The contrast with South Asia and MENA is stark. South Asia records 28.6 per cent female LFPR regionally. Within South Asia, Bangladesh at 38.2 per cent sits above the regional average, and the source of that improvement is precisely quantifiable: the RMG sector has driven female LFPR from 24 per cent in 2010 to 38.2 per cent in 2024, a 14-percentage-point increase over a decade that demonstrates the directness of the relationship between industrial employment opportunity and female labour market participation. Pakistan at 24.2 per cent illustrates the counterfactual: a comparable demographic and cultural context without the industrial pull factor that Bangladesh’s garment sector provided. MENA’s female LFPR of 18.4 per cent — the lowest of any major world region — represents the most extreme concentration of untapped productive potential on the planet. The gap between MENA’s 18.4 per cent and Vietnam’s 69.2 per cent is a 50-percentage-point differential in whether women are in the formal economy. At the scale of hundreds of millions of people, that differential is not a social variable. It is a structural economic one, with direct implications for productivity, tax capacity, demographic dividend realisation and intergenerational poverty transmission.

The IMF’s 2024 analysis of generative AI and the future of work estimates that 26 per cent of jobs in low-income economies face high automation risk. The figure is lower than the 60 per cent exposure rate in high-income economies — not because automation threatens developing economies less, but because the low digitalisation and capital intensity of those economies means fewer roles currently contain the software and hardware infrastructure through which AI substitution occurs. The IMF describes this as higher “unpreparedness risk”: when automation does arrive, low-income economies have less of the reskilling infrastructure, digital literacy and institutional adaptation capacity needed to respond to it. They are not yet exposed, but they are poorly equipped for the exposure that is coming.

The Routine Task Intensity framework makes the sector-level exposure concrete. Garment and textile manufacturing — the sector on which Bangladesh has concentrated approximately 80 per cent of its export earnings — has an RTI score of 0.78 on the 0-to-1 scale, with an estimated automation risk of 47 to 60 per cent from Sewbot and automated cutting technology, according to the World Bank and ILO’s World Development Report 2024. Electronics assembly, the sector that has driven Vietnam’s manufacturing expansion, has an RTI score of 0.62 and an estimated risk of 35 to 42 per cent, with the human dexterity required for complex assembly providing a partial buffer. Automotive components, at an RTI of 0.84, face 70 per cent automation risk — a figure that reflects the near-complete automation of high-volume automotive assembly lines in advanced economies. The compression of the manufacturing window operates through precisely this mechanism: the sectors that remain accessible to low-wage, low-skill workers are the same sectors with the highest automation risk, while the sectors with lower automation risk require the skills and capital that late industrialisers do not yet possess.

Demographic dividends convert into sustainable economic development through a specific mechanism: rising real wages generate household income that expands domestic consumption, which deepens domestic markets, which in turn provides demand for industries beyond the export sector. The ILO’s Global Wage Report 2024–25 estimates real wage growth for emerging economies in the range of 1.8 to 2.7 per cent for 2024–25. This aggregate, however, conceals a divergence between economies that is as significant as the gap between formal and informal employment. Vietnam recorded real wage growth of 5.8 per cent in 2024, driven by the labour market tightening associated with its electronics manufacturing expansion and supported by an inflation rate well below the regional average. Its July 2024 minimum wage increase of 6 per cent nominal translated to approximately 3.5 per cent in real terms, a genuine floor improvement for the lowest-wage formal workers.

Sub-Saharan Africa’s real wage trajectory runs in the opposite direction. The IMF’s Regional Economic Outlook for Sub-Saharan Africa 2025 records real wage growth of minus 1.2 to plus 0.5 per cent, with currency devaluations and headline inflation exceeding 20 per cent in Nigeria and Ethiopia eroding the purchasing power of nominal wage gains faster than those gains can be made. Nigeria’s Minimum Wage Act 2024, which increased the statutory minimum wage to 70,000 Naira, was nominally significant but real-terms neutral to negative given 30-plus per cent headline inflation. Latin America records approximately 1.5 per cent real wage growth following the aggressive monetary tightening cycles that brought inflation under control, according to ECLAC’s Economic Survey of Latin America and the Caribbean 2024. South Asia sits in a moderate positive range, with India outperforming the regional average. The top 10 per cent of earners across South Asia and Sub-Saharan Africa account for more than 45 per cent of private consumption, according to the World Bank Poverty and Shared Prosperity Report 2024 — a concentration that means real wage gains in the upper formal sector have limited multiplier effects on the broad consumer demand that a domestic market requires to sustain itself.

Sixty per cent of Sub-Saharan Africa’s workforce is engaged in agriculture, and 60 per cent of that agricultural workforce faces high risk from climate volatility and dependence on rain-fed systems, according to FAO and ILO’s The State of Food Security and Nutrition 2024. The coincidence of these two figures — a workforce that is overwhelmingly agricultural and an agricultural system that is overwhelmingly climate-vulnerable — creates a compound risk that interacts directly with the employment absorption challenge. As climate variability displaces agricultural livelihoods, it pushes workers toward urban informal labour markets that are already structurally oversupplied. The pressure that climate change exerts on Sub-Saharan Africa’s employment system is therefore not a future scenario; it is an ongoing contribution to the informality and labour market stress that the demographic data already describes.

The energy transition creates employment opportunity on the other side of the climate ledger, but at a scale that does not yet approach the displacement risk. IRENA and the ILO’s Renewable Energy and Jobs Annual Review 2024 records 16.2 million global renewable energy jobs, of which approximately 324,000 — roughly 2 per cent of the global total — are located in Africa. The disproportion is acute: Africa faces a disproportionate share of the climate risk that motivates the energy transition, contributes a disproportionate share of the mineral resources that the transition requires, and captures a tiny fraction of the employment that the transition generates. Closing this gap would require a deliberate industrial policy for renewable energy manufacturing and installation in Africa that is not yet visible at the scale the numbers require. The EU’s Carbon Border Adjustment Mechanism, fully operational from 2026, adds a further complication: UNCTAD’s Trade and Development Report 2025 projects cost increases of US$20 to US$40 per tonne of CO2 for Global South exporters in covered sectors, with the pass-through risk concentrated in the manufacturing workers of South Africa, Egypt and Turkey who are most exposed to EU trade dependence.

The evidence assembled in this article is sufficient to identify what separates the economies that are converting their demographic expansion into productive employment from those that are accumulating it as structural stress. The distinction is not development level — Bangladesh and Vietnam have comparable income levels and were at comparable industrial starting points a decade ago. It is not natural resource endowment — Nigeria’s oil wealth has not produced manufacturing employment or female participation rates comparable to resource-poor Vietnam. It is not population size — India’s demographic scale dwarfs Vietnam’s, but Vietnam’s manufacturing employment share has grown faster in proportional terms.

The distinguishing variables are three. First, a deliberate industrial policy that attracts anchor investment in sectors with higher skill content and longer automation timelines than the available low-cost alternative, combined with an institutional environment that makes that investment operational. Vietnam’s decision to position for electronics rather than compete purely on garment costs was not accidental; it was a policy choice that required trade agreements, industrial zone development, skills investments and, critically, the suppression of the political instability and regulatory uncertainty that has repeatedly disrupted Ethiopia’s comparable ambitions. Second, a mechanism that converts industrial employment into female participation, which in turn converts demographic pressure into domestic consumer demand. Bangladesh’s RMG sector, for all its automation vulnerability, has done this more effectively than almost any other developing economy. Third, a real wage floor that is actually enforced, at a level that converts subsistence workers into domestic consumers. Vietnam’s 3.5 per cent real minimum wage gain in 2024 is the difference between a workforce that earns enough to consume the output of the economy and one that earns enough only to survive.

None of these conditions is structurally guaranteed. Vietnam’s electronics employment faces 35 to 42 per cent automation risk. Bangladesh’s RMG sector faces 47 to 60 per cent. The renewable energy jobs that the green transition might generate in Africa number 324,000 against a continent that adds 12 to 15 million workers to its labour force annually. The global institutional architecture — trade agreements, technology transfer frameworks, climate finance mechanisms — is not currently calibrated to generate formal employment in Sub-Saharan Africa and South Asia at anywhere near the pace those regions require.