HARARE — Econet InfraCo has cut diesel costs by 30% after deploying an artificial intelligence system to optimise generator use, providing a striking example of how Zimbabwean businesses are using technology to manage one of the economy’s most persistent operating challenges: unreliable and expensive energy.
The tower operator, a subsidiary of Econet Wireless Zimbabwe, developed the AI Fuel Mode system with sister company Cassava Compute, which operates an NVIDIA-powered AI supercomputer in Cape Town.
The system analyses how individual generators are deployed and uses that information to create a fuel-management matrix aimed at reducing unnecessary diesel consumption while maintaining network availability.
The development comes as energy costs remain a major concern for Zimbabwean businesses, where companies across telecommunications, manufacturing, mining and retail have historically relied on diesel generators to supplement an unreliable electricity supply.
According to the report by newZWire, Econet InfraCo’s AI deployment makes it the first tower operator globally to use an AI-powered solution specifically to manage diesel consumption.
From diesel management to AI infrastructure
The significance of the project extends beyond Econet’s fuel savings.
Cassava AI says the platform could eventually be offered to other tower operators and adapted for industries such as mining and manufacturing, where diesel consumption can represent a substantial operating cost.
An industry technology analyst who spoke to The Zimbabwe Financial Mail said the development demonstrated a more commercially relevant application of AI than simply automating office processes.
“The important point is that AI is being applied to a measurable cost problem. A 30% reduction in diesel consumption has a direct economic value for the business, particularly where energy is one of the highest operating costs,” the analyst said.
Another business technology analyst said Zimbabwe’s energy constraints could become an unexpected catalyst for industrial adoption of artificial intelligence.
“Zimbabwe has an unusual opportunity to use its infrastructure challenges as a testing ground for optimisation technologies. If a system can deliver measurable savings under difficult operating conditions here, there is potentially a much larger African market for it,” the analyst said.
These comments are analytical assessments for The Zimbabwe Financial Mail and are not statements from Econet or Cassava.
AI moves closer to the balance sheet
The project illustrates an important shift in how businesses are evaluating artificial intelligence.
Rather than treating AI purely as a digital transformation or customer-service tool, companies are increasingly looking at applications that can reduce energy, logistics, maintenance and production costs.
For Econet InfraCo, the immediate benefit is lower diesel consumption across its tower infrastructure.
The company worked with Cassava Compute to examine when and how individual generators were being used before developing the AI fuel-management system. The resulting platform is designed to optimise generator deployment rather than simply monitor fuel consumption.
The approach is particularly relevant to Zimbabwe, where electricity availability has historically forced businesses to maintain alternative power sources.
For telecommunications operators, the problem is even more acute because network infrastructure must remain operational regardless of interruptions to the national grid.
Econet prepares a second AI application
The fuel project is also being followed by a broader energy-management initiative.
Cassava AI, working with NVIDIA, has begun deploying AI Energy Mode, which is intended to help Econet Wireless optimise electricity consumption across its mobile network.
That creates a potential second application for the technology, shifting the focus from managing diesel generators to optimising electricity use.
It also strengthens the commercial relationship between Econet and Cassava’s computing infrastructure, potentially generating further demand for GPU capacity at the Cassava AI Factory.
A potential exportable Zimbabwe technology
Analysts said the bigger opportunity could ultimately lie in commercialising the technology beyond Econet.
“The real test will be whether the technology can be replicated economically across other infrastructure-heavy industries. If the same optimisation model works in mining, manufacturing and logistics, it becomes a technology business rather than simply an internal cost-saving project,” one analyst told The Zimbabwe Financial Mail.
That could be particularly significant for Zimbabwe, where mining and manufacturing companies face high energy costs while seeking to improve productivity and competitiveness.
The country’s mining sector, in particular, has increasingly invested in alternative power generation as companies seek greater certainty over production.
The ability to combine operational data, AI and existing physical infrastructure could therefore become an important part of industrial efficiency.
From Zimbabwe’s power problem to an AI opportunity
The Econet initiative also highlights a broader economic issue.
Zimbabwe’s technology ambitions are increasingly intersecting with the country’s infrastructure constraints. Businesses cannot simply wait for perfect power availability before expanding; instead, they have had to build systems around the limitations of the existing electricity network.
AI offers another layer of optimisation.
Instead of simply installing more generators or increasing fuel stocks, companies can use operational data to determine when generators are genuinely required and how they should be operated.
For Econet InfraCo, the reported 30% diesel saving provides an early commercial demonstration of that proposition.
The next question will be whether similar savings can be achieved across other Zimbabwean industries — and whether locally developed AI applications can evolve from internal efficiency projects into exportable technology products.
The source report also said mobile operators across Africa collectively rely on more than 500,000 diesel generators to maintain network operations, underscoring the potential size of the market for fuel and energy optimisation technologies.
