Market and Systems Interventions

The skills landscape: AI has restructured the problem

The talent and skills ecosystem challenge requires solutions at both ecosystem and systemic levels, operating on different time horizons. The landscape has changed materially since 2022 - most significantly through AI, which has restructured what skills are scarce, what can be taught, and how learning can be delivered.

Mercy Corps, working with the Jobtech Alliance - an ecosystem-building initiative steered by Mercy Corps and BFA Global - have mapped the jobtech landscape across Africa, identifying 323 active innovators categorised across five distinct clusters: platforms for offline work, job matching and boards, e-learning and skilling, digital and online work platforms, and micro-enterprise and commerce platforms. Enabler-type companies - startups building infrastructure for other startups - are contributing a multiplier effect that extends beyond direct employment creation.

Matching platforms include Afringa, an online recruitment platform active in more than 40 African countries that uses video applications and machine learning to address two structural problems in African recruitment: credential fraud and skills-qualification mismatch. Talent-networked models include Venture for Africa, which provides talent with a landing pad in the African startup ecosystem through part-time, trial-to-hire immersion engagements. Training providers including Moringa School, Semicolon, and Gebeya have sustained demand by aligning curricula directly with employer needs rather than academic programme structures.

The skills conversation in 2022 was dominated by the coding shortage. AI has partially - and in some domains, substantially - changed this calculus. The skills AI cannot yet replicate - complex reasoning, empathy, contextual judgment, cross-cultural communication, ethical decision-making - are precisely those that African education systems have historically underinvested in. The irony is direct: the skills Africa's education system treats as peripheral are the skills the AI economy values most.

Accelerators and hubs should be harvesting significant labour market data. Many of these programmes are funded by public or donor money - there should be requirements to collect, report, and share relevant labour market datasets as a condition of funding. No such conversation is happening systematically within African ecosystems about designing collective intelligence approaches to the talent problem. AI-assisted labour market analytics now make this more achievable than it was in 2022: platforms that aggregate job posting data, skills demand signals, and graduate outcome data can generate labour market intelligence at a granularity and frequency that traditional survey-based approaches cannot match. The tools exist. The institutional will to share the data and act on the intelligence is what is missing.

Mental health support for African founders deserves elevation from a peripheral consideration to a core design requirement of scaling support programmes. Research by Michael Freeman and colleagues, published in Small Business Economics (2019) - surveying 242 entrepreneurs and 93 comparison participants - found that mental health differences directly or indirectly affected 72 percent of the entrepreneurs in the sample, including 49 percent with a personal mental health history. Entrepreneurs reported experiencing more depression (30%), ADHD (29%), and bipolar disorder (11%) than comparison participants. The African context - where founders carry the weight of community expectations, family obligations, and the structural volatility of the operating environment - compounds these pressures in ways the existing literature, drawn almost entirely from Western entrepreneurial contexts, does not fully capture.

"My entire village depends on me succeeding. In Africa, you have to take care of everybody. That's where the resilience comes from." - interviewee

"The thing I keep telling people is that if you're a little bit suicidal, a little bit bipolar, emotionally, physically, spiritually, and destroyed all of your relationships, and gone completely bankrupt: Welcome to your first five seconds of being an entrepreneur. It's not this beautiful, lovely rose-coloured thing." - interviewee

By celebrating high levels of resilience, the ecosystem detracts attention from the corollary: the negative effects on mental health that sustained pressure under these conditions produces. Scaling Through Chaos identifies misallocating time - specifically not monitoring or creating space for the physical, mental, and emotional wellbeing of the team and founder - as one of the most common and consequential early people mistakes.

A framework for action, drawing on the work of Marcel Muenster's Gritti Fund - described as the first investment fund to incorporate founder mental and physical performance as an explicit investment criterion, with a specific focus on healthcare investments in the Middle East and Africa - includes three elements: destigmatisation, requiring investors to lead by example and demonstrate that vulnerability about mental health challenges is acceptable; wellbeing resources, integrating mental health professionals into the organisational ecosystem of investment funds rather than treating them as external referrals; and structural investment, making a defined fraction of investment explicitly available for founder wellbeing rather than treating it as a cost to be minimised.

"Managing mental health has to start from the donor, the funder. One of the metrics of their return on investment should also be the well-being of the beneficiary." - interviewee

Smart investors dedicate significant time to the talent challenge - from seed to Series B - by making the right connections, leveraging internal value creation teams, and participating in recruitment at C-suite level. The talent pipeline is not a collective action problem that individual investors can solve in isolation. Syndicating interest around the pipeline - sharing data, coordinating investments in training infrastructure, building shared recruitment intelligence - would return better results than current zero-sum approaches in which each investor builds proprietary talent networks that are not accessible to the broader ecosystem.

Diaspora engagement remains a significant and underutilised opportunity. Ethiopia's Diaspora Tech Homecoming initiative, part of the broader Great Ethiopian Homecoming launched by the Prime Minister in December 2021, demonstrated what deliberately designed diaspora engagement can look like at government level. Full return is unlikely for most diaspora - but partial engagement through angel syndicates, remote mentoring, internship sponsorship, and diplomatic advocacy creates genuine value without requiring the career disruption that full repatriation involves.

AI-assisted assessment is changing how skills can be verified. Rather than relying on credentials from institutions whose quality is difficult to calibrate across 54 countries, ventures can now use skills-based assessment tools that test competency directly. The HNG Internship - founded by Hotels.ng's Mark Essien, running since 2014, and now one of the largest remote tech internship programmes in Africa - takes candidates through multiple rounds of task-based, impartial assessment. Finalists demonstrate competency directly rather than through institutional affiliation. The model points toward the direction of travel: assess what people can do, not where they studied.

A survey of colleges and universities in sub-Saharan Africa found that only 7 percent have an entrepreneurship centre, 28 percent offer courses specialising in entrepreneurship, and 10 percent offer a course in innovation and technology. The root cause issues begin earlier: formal school education systems remain largely based on models designed to produce labour for the first industrial revolution. Many African universities still operate large lecture halls that reward the ability to remember and repeat information - structurally incompatible with the skills the AI economy demands.

The ecosystem is building complementary infrastructure. Andela has pivoted from primarily training junior software engineers to a broader talent marketplace model demonstrating that matching African technical talent with international demand can work at scale. AltSchool Africa and Refactory in Uganda are developing models that align training directly with employer demand rather than academic curricula. The non-profit model proposed by Future Africa - bringing together AltSchool Africa, Andela, Gebeya, and others to work with established universities on an evolving curriculum - has real merit. Its design and implementation must embrace learner-centred approaches explicitly oriented toward the AI-augmented workplace, not toward the skills profile of the economy that existed when those universities were established.