Next Wave: The antifragile startup
A startup does not always know which part of its business will work best or which market will become difficult.
In September 2026, a piece was published discussing the concept of antifragile startups, which the author had encountered after reading the book "Antifragile" by Nassim Nicholas Taleb. Taleb's central argument, which remained with the author despite his habit of taking simple ideas and defending them extensively, resonated particularly when considering African startups. These businesses operate in markets where uncertainty is the norm rather than an occasional occurrence.
According to Taleb, certain things are fragile and break under stress, while others are resilient and absorb stress without significant alteration. There are also antifragile systems that do not merely survive disorder but can become stronger because of it. The author began to ponder whether some of Africa's most successful startups were indeed building their businesses to thrive in environments filled with uncertainty, not because they welcomed volatility or predicted it, but because they had developed an ability to create businesses in markets where expecting things to proceed as planned would be an unusual assumption.
Startups inherently operate with incomplete information, as founders make decisions without knowing customer behaviors, competitor actions, investor funding stability, or unexpected events that could render their forecasts irrelevant. Naturally, there is an instinct to reduce uncertainty wherever possible. However, Taleb argues that there is another perspective: rather than trying to predict every possible disruption, build a business that can withstand being wrong and, where possible, benefit from surprising outcomes.
Venture capital operates similarly, with a focus on the power law, a mathematical reality that states most investments in a portfolio will not yield spectacular results, with many failing altogether. Investors accept these losses because the downside is limited to the money invested, while a few companies can produce returns large enough to compensate for all other losses.
Taleb would likely describe this as a convex payoff, where the downside is known and limited, while the upside can be disproportionately large. This perspective suggests that trial and error can sometimes be more valuable than careful prediction, as randomness becomes less frightening when a business can afford many small failures while still being exposed to the possibility of a very large success.
The author cites Airbnb as a clear example, illustrating how the company was profoundly affected by the COVID-19 pandemic in 2020. The pandemic caused closures, grounded flights, and evaporated bookings, leading to a $3.9 billion loss in the fourth quarter. However, the shock also created new customers, as offices closed and remote work became prevalent.
Airbnb adapted by promoting longer stays and properties suitable for remote work. Despite job losses and uncertainty, the company's flexibility enabled it to find new demand, resulting in a significant revenue increase to $8.4 billion by 2022.
The author concludes that while not every shock contains a hidden business opportunity, some companies are better positioned to discover new opportunities because they are not tightly organized around the assumption that tomorrow will resemble yesterday. The article concludes with an advertisement promoting an event called "Next Wave," which aims to connect startup founders, global financial operators, and individuals reshaping Africa's technical frameworks on October 28 and 29, 2026.
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