Crutch or Exoskeleton?
18, MayWorkforce Solutions at a Defining Crossroads for the Future of Work in Latin America By Martin Padulla for staffingamericalatina Workforce solutions companies in Latin America ...
Editorial
By Martín Padulla for staffingamericalatina Latin America is about to lose an advantage it has enjoyed for more ...
By Martín Padulla for staffingamericalatina
Latin America is about to lose an advantage it has enjoyed for more than half a century. According to the Economic Commission for Latin America and the Caribbean (ECLAC), the region’s demographic dividend will come to an end around 2028. From that point onward, the dependent population will grow faster than the working-age population.
By 2050, nearly one in five Latin Americans will be aged 65 or older, compared with one in ten today. For decades, our economies grew, to a significant extent, because more people entered the labor market every year. That engine of growth is running out of steam.
The question is no longer how many workers we will have, but how capable those workers will be.
From Headcount to Capability
Demographers refer to what may come next as the second demographic dividend. An aging population has stronger incentives to save, accumulate assets, and invest in educating and developing younger generations. If those savings are channeled into productive investment and human capital, an economy can continue growing even with fewer workers per capita.
But the second dividend does not materialize automatically. It requires us, first and foremost, to address the challenges left unresolved by the first: stagnant productivity, education systems disconnected from labor market needs, and informality affecting 47% of employed workers, according to the International Labour Organization (ILO).
Artificial intelligence has the potential to change this equation. Not because it replaces workers, but because it can multiply what each individual is capable of achieving.
The Age of Augmented Work
A joint study by the ILO and the World Bank estimates that between 26% and 38% of jobs in Latin America are exposed to generative AI. Yet only 2% to 5% face the risk of full automation. The most likely scenario is not replacement, but augmentation: workers achieving more, and achieving it better, with technology as an ally.
For this augmentation to become a demographic dividend, we should think of work as a value chain built around four interconnected pillars.
Educate. Formal education systems evolve more slowly than the skills demanded by the labor market. AI enables personalized learning and skills verification, opening the door to hiring people based on what they can actually do, rather than solely on their academic credentials.
Train. The time between acquiring skills and entering employment can be dramatically shortened. AI-powered models that recruit, train, and deploy talent for specific roles turn training into employment. With intelligent assistants, a significant part of learning can now take place directly on the job.
Connect. Work is becoming increasingly diverse: temporary assignments, project-based engagements, outcome-based services, and remote teams operating across borders. AI-powered workforce solutions connect talent with demand across different forms of work with a level of precision that was previously unimaginable.
And they can achieve something particularly important for our region: making flexible work formal work as well.
Every worker brought into formal employment contributes to social security, builds savings, and gains protection. Those savings are precisely the fuel that can power the second demographic dividend.
Empower across generations. Latin America is failing to fully leverage the potential of workers at both ends of the age spectrum. Young people aged 15 to 24 face unemployment rates nearly three times higher than those of adults, while older workers leave the labor market taking valuable knowledge and experience with them.
AI can serve as a bridge between generations. It can extend the productive working lives of older professionals, capture and preserve their expertise, and enable younger workers to learn faster by combining digital tools with human mentorship.
The Risk of Augmentation for the Few
The same research offers an important warning.
Productivity gains, which could benefit between 8% and 14% of jobs, are concentrated among urban, formal, and higher-income workers. Nearly half of the 17 million jobs that could benefit face digital infrastructure gaps.
What does this mean?
If this value chain works only for those who are already better positioned, AI will not close the gap between formal and informal workers. It will widen it.
A second demographic dividend that reaches only half the workforce will not be enough to sustain an aging society.
What We Are Seeing Across the Workforce Solutions Industry
What matters most is that our industry is witnessing this transformation every day.
Client organizations are no longer simply looking to purchase hours of labor. They increasingly want verified capabilities that are ready to deliver results.
The critical trade-off is no longer how much a particular talent profile costs, but how quickly that talent can begin creating value.
AI is also transforming our own industry.
It enables us to identify skills beyond what appears on a résumé, design personalized learning pathways, support workers after placement, and orchestrate the different systems used by workforce solutions providers—which do not always communicate effectively with one another—to deliver greater speed without sacrificing precision.
The intermediary whose traditional role was simply to connect labor supply and demand is evolving into an orchestrator that develops, deploys, and supports talent through flexible, formal workforce solutions.
Latin America has a tangible opportunity.
Rather than competing globally on cost, our region can export augmented work: Latin American talent empowered by AI to perform at the level of any market in the world.
Training and Formalization at Scale
No single stakeholder can build this value chain alone.
What is needed is a partnership among education systems, employers, and workforce solutions providers, built around three concrete commitments.
First, portable skills certifications, recognized by employers and validated with AI support, that carry as much value as a formal degree.
Second, large-scale training programs linked to formal employment from day one, ensuring that developing skills and contributing to social security become part of the same journey.
Third, incentives that encourage older workers to remain economically active through mentoring and knowledge-transfer roles, with technology serving as an enabler.
Demographics are giving us a clear message: we will not have more workers.
What remains within our control is ensuring that the workers we do have are better equipped, more capable, and more productive.
The window of opportunity is short. And the technology that can help us achieve meaningful social innovation is already within our reach.
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