Why We Invested in Fuzu

This includes multilingual AI data operations, evaluation and QA work around AI systems, language-related tasks, and other forms of human-in-the-loop support for international clients.

Less anonymous task work, more structured teams, better client relationships, and a clearer path toward platform work that is stable enough for people to actually build sustainable careers around.

What next for digital work

We first started digging deeper into companies like Fuzu as part of our Digital Work Sector Scan, which looked at how AI is changing the shape of African digital work and what kinds of platforms might still create genuinely good jobs amid that shift. One of our big questions was around the types of digital work that could actually grow. A lot of the lower-paid digital work that helped transition youth, often women, into the sector is exactly the kind of work AI is squeezing the hardest.

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That is why Fuzu decided to move away from the marketplace logic that still defines a lot of the sector. The old model was becoming harder to scale sustainably: competition was increasing, margins were tightening, and more global clients were looking for managed teams rather than simply access to talent pools.