I am used to the seamless, silent transaction of an e-hailing service in regional hubs like Johannesburg, Lusaka, or Harare. In those cities, the digital map is the absolute authority. You pin your location, the driver follows a blue line, and you arrive at your destination without a single word exchanged regarding the route or the fare. It is the pinnacle of the automated promise: technology eliminating human error and friction.
However, hailing a ride in Gaborone presents a distinctly different, and often jarring, reality. Almost immediately after a driver accepts the request on an app like Yango, the phone rings. The driver is lost, or rather, the app is lost. Despite the passenger’s careful placement of a digital pin, the driver needs verbal directions. Once you finally locate each other and you step into the vehicle, the interrogation begins: “Where are you going?” and “How much did the app charge you?”
It is a chaotic, frustrating start to what is marketed as a high-tech logistics service. But as a business journalist, I’ve realized that this everyday friction is not a mere technical glitch or a lack of driver training. It is a symptom of a much deeper, systemic failure. While these platforms dominate our local transport landscape, they are operating on a model that shifts a massive, hidden economic and psychological tax onto both the Motswana driver and the local passenger.
The Digital Disconnect
The Probe looked into the actual mechanics of this disconnect to determine who truly pays for the failure of these algorithms to align with the spatial reality of Botswana. What we found is that the “efficiency” touted by international tech headquarters is, in many ways, an illusion subsidized by local resources.
The foundational problem is the mapping deficit. Silicon Valley or European-designed algorithms rely on a standardized, grid-based addressing infrastructure that simply does not exist in Gaborone in the way the software expects. Our city is navigated through a complex, cultural web of landmarks and community knowledge, not just street numbers and precise GPS coordinates. When the technology fails to account for this, it doesn’t just stop working; it simply outsources the work back to the humans involved.
The Ledger of Hidden Costs
In a truly efficient market, the technology should reduce operational costs. In Gaborone’s ride-sharing economy, the opposite is happening. Every time a map fails to pin a correct location, an invisible ledger begins to run, and the platform is never the one to pay the bill.
First, there is the communication tax. Because the pin is unreliable, the driver is forced to spend their own Pula on airtime to call the passenger and confirm their physical location. The platform takes zero liability for this expense. Second, there is the fuel tax. I have watched drivers burn uncompensated fuel circling blocks or navigating dead ends because the algorithm directed them to an inaccessible pin. The app only recognizes and pays for the distance of the completed trip, effectively stealing the fuel and time spent on the “search” phase of the transaction.
Beyond the mapping issues, there is the deliberate strategy of information asymmetry, often referred to as “blind dispatching.” Drivers in Gaborone ask, “Where are you going?” not because they are nosy, but because the platform is intentionally keeping them in the dark. To ensure that low-paying trips or trips to inconvenient areas are not rejected, the algorithm frequently hides the destination and the final payout from the driver until the ride has already begun. The platform forces the driver into a blind contract, stripping them of the ability to make a basic, informed business decision about the use of their own asset.
The Psychological Tension in the Cab
This structural failure creates a toxic behavioral shift inside the vehicle. As a passenger, you have paid the app and expected a frictionless experience. When you are forced to act as a manual human GPS for the duration of your trip, your patience wears thin. You view the driver as unprofessional, unaware that they are being forced to fly blind by the very technology you both are paying for.
The driver, meanwhile, is operating under a cloud of resentment. They are burdened by fares that have been artificially suppressed by the platform to undercut local taxis and acquire market share. When a driver asks how much you were charged, they are trying to verify if the trip is even worth the petrol they are currently burning. It creates a confrontational atmosphere where the driver and the passenger are pitted against each other, while the algorithm sits in the background, untouched by the friction, quietly collecting its commission on every Pula spent.
The Liquidity Trap
This leads us to the most pressing economic question in this sector: If the margins are so razor-thin, and the operational friction is so high, why don’t the drivers just quit? If you are an entrepreneur and your business model is failing to cover your wear-and-tear, the logical move is to exit the market.
But the reality of the Botswana economy suggests a more predatory explanation: the Liquidity Trap.
These platforms do not offer long-term business profitability; they offer immediate, daily liquidity. In a market where formal employment is scarce and traditional credit is hard to access, the ability to generate cash today is a powerful hook. A driver may be operating at a net loss when you factor in the inevitable cost of new tires, brake pads, engine servicing, and the rapid depreciation of their vehicle. However, they continue to drive because they need the cash flow this afternoon to buy groceries, pay for electricity, or cover an immediate bill.
They are not building a sustainable transport business; they are systematically liquidating the capital value of their vehicle for short-term survival. Every trip at an artificially low price is essentially a small piece of the car’s future being sold off to cover a present-day expense. The app isn’t an empowerment tool in this scenario; it is acting as a digital version of a payday lender, exchanging a fraction of the vehicle’s ultimate worth for immediate cash.
Ultimately, the friction we experience on the streets of Gaborone—the phone calls for directions, the arguments over fares, the resentment in the car—is the sound of a local economy being squeezed. The true cost of ride-sharing expansion in Botswana is being subsidized by the depreciation of Motswana-owned assets and the daily labor of drivers who are caught in a cycle of cash dependency. We are not witnessing a technological revolution; we are witnessing a transfer of wealth, where the local driver absorbs the risk, the passenger absorbs the frustration, and the platform secures the profit.
As we continue to embrace these global platforms, we must ask ourselves if we are actually building a more efficient Botswana, or if we are simply allowing our local resources to be used as the shock absorbers for a broken algorithmic promise. At The Probe, the verdict is clear: until the technology respects the local reality, the “efficiency” of ride-sharing will remain an expensive illusion.
The Probe Articles • Economic & Retail Analysis • Southern Africa