Artificial intelligence is no longer a distant prospect.
It’s already reshaping how we work. For Africa’s Business Process Outsourcing (BPO) sector, it’s already changing how workers log on, show up, train up, and more.
The AI wave is not just on the horizon, it’s already here.
In collaboration with the Mastercard Foundation and Genesis Analytics, Caribou recently published a major new report on the future of AI in Africa’s BPO sector. To unpack the findings, we brought together leaders, policymakers, and practitioners for a roundtable discussion. What emerged was both a clear sense of urgency and a practical roadmap for African leadership in the AI era.
A sector at a crossroads
Africa has all the ingredients to become a globally competitive hub for BPO: a young, digitally fluent population, cost-effective operations, and advantageous time zones. While the continent’s BPO sector currently employs around one million people, there is significant room to grow. At an individual level, AI can augment repetitive tasks, freeing workers to focus on roles that require judgment, creativity, and emotional intelligence. At a broader level, Africa has the potential to carve out a competitive advantage by building inclusive, tech-enabled services that reflect the future of global work.
But the window of opportunity won’t stay open forever. Our research finds that:
Up to 40 percent of current BPO tasks could be automated by 2030, with customer service roles and roles commonly held by women most exposed.
As young people interviewed in the study shared, AI is already shaping their career aspirations. They view it as a pathway to higher-level, more complex, and potentially higher-paying roles, and they’re eager to lead the way. AI therefore has the potential to unlock new opportunities in Africa’s BPO sector, especially for young people and women. To realize this potential, its growth must be inclusive, strategic, and sustainable.
Eunice Muthengi
Acting Senior Director for Research & Learning, Mastercard FoundationTo equip young Africans for AI-shaped work, education systems must evolve
To stay ahead, education systems across the continent must adapt. Tasks most likely to be automated, such as customer service and administrative roles, are often the first step into the workforce for young people. Our research shows nearly half of all BPO roles fall into these categories. Without a major skills shift, many young Africans risk being locked out of entry-level jobs before they even begin.
Digital fluency remains vital, but it’s not enough. Critical thinking, confidence, and adaptability are the capabilities young people need to shape the future of work, not just survive it. Yet the gap between what’s needed and what’s available is stark. According to recent data, just 9 percent of workers in sub-Saharan Africa have foundational digital skills. Meanwhile, fewer than half of young people aged 15 to 24 are engaged in education, employment, or training. Rethinking how education builds real-world capability is no longer optional.
Educational institutions and training initiatives should work to create an environment that prepares young people for changing roles and supports both individual upskilling and broader system reform.
Training models must evolve to help workers stay resilient and ready for the next transition, not just the current one.
Patrick Morton
Regional CEO, GenerationThe private sector’s role in workforce readiness
Employers, too, have a vital role to play in preparing the workforce for an AI-enabled future. First, they can invest in internal learning and development. Sameer Raina, CEO of Digital Divide Data, shared that at his organization, AI is regularly discussed in the boardroom as “a catalyst for internal growth and skills renewal,” not simply a disruption to manage.
Second, businesses can redefine what readiness looks like. This means supporting workers to move beyond routine tasks and take on roles that require human judgment and initiative—areas where AI is less likely to displace them. Third, they can take practical steps to broaden access to these kinds of opportunities.
One standout example is Na’amal, an organization that works with refugees and displaced people, many of whom are hired into the most vulnerable digital roles.
Many refugees working in the digital sector begin with fewer opportunities to develop these skills, and are often concentrated in roles most susceptible to automation.
Lorraine Charles
Co-Founder and Executive Director, Na’amalNa’amal’s model focuses on helping workers build long-term, transferable capabilities, creating pathways to more resilient, future-ready work.
These examples show that employers are not just passive actors in this transition. They have real power to shape what the future of work looks like and who gets to be part of it.
Closing policy and data gaps to ensure a just, inclusive AI transition
There is also a call to action for governments. Without deliberate coordination, the advancement of AI risks widening inequality, particularly for workers in entry-level roles most vulnerable to automation. Better data, stronger public policies, and inclusive national strategies are urgently needed.
Encouragingly, signs of political will are beginning to emerge. The Kigali AI Declaration, signed by several African countries, recognizes that AI development must be people-centered, and that governments have a responsibility to protect workers while enabling innovation. This kind of leadership will be essential to ensuring AI works for everyone.
Other countries, including those historically reliant on extractive industries, are beginning to make similar shifts.
From copper to code… so you can imagine that a country that is originally a country that is focusing on the mining of copper is beginning to shift the mindset of young people from copper, to how to get into the space of artificial intelligence.
David Gowu
Board Member, Business Outsourcing Services Association of GhanaA shared responsibility
The questions are complex. But the opportunity is vast. The future of Africa’s BPO sector will not be determined by technology alone. It will depend on the decisions made by employers, educators, and policymakers today.
At Caribou, we’ve seen through our work that systems change is possible when deep insight is paired with practical action. With the right support in place, Africa’s young workforce can adapt to the future of work and define it.
The virtual discussion was attended by:
- Charlene Migwe, Program Director at Caribou
- Jonathan Beardsley, leading Digital Livelihoods at Genesis Analytics
- Eunice Muthengi, Acting Senior Director for Research and Learning at the Mastercard Foundation
- Patrick Morton, African, Middle East and Asia Region CEO at Generation
- Sameer Raina, CEO at Digital Divide Data
- Lorraine Charles, Co-Founder and Executive Director at Na’amal
- David Gowu, CEO at Business Outsourcing Services Association of Ghana
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