Artificial intelligence promises to change the way Africans learn, work, run businesses and access essential services. From AI-powered customer support to digital healthcare and agricultural advisory platforms, the possibilities are expanding at remarkable speed. However, for millions of Ugandans, there is a more immediate concern standing between them and this technological future: the cost of getting online.
Imagine a university student in Gulu who wants to use an AI learning assistant to prepare for examinations. The application is available, the student owns a smartphone, and the mobile network is functioning. Yet every interaction consumes data that must be purchased from an already limited budget.
Now consider a small business owner in Masaka who discovers an AI tool capable of helping manage inventory, analyse sales and communicate with customers. The potential benefits are obvious. However, consistent internet access represents another recurring expense in a business where every shilling matters.
These are illustrative situations, but they capture a much larger economic problem.
Uganda’s 2026 Artificial Intelligence Readiness Assessment Report, developed through collaboration between UNESCO and the Ministry of ICT and National Guidance, identifies internet affordability as a major obstacle to meaningful digital participation.
According to the report, a mobile broadband consumption package costs approximately 7.95% of Uganda’s monthly gross national income per capita.
That figure is nearly four times the 2% affordability benchmark associated with the UN Broadband Commission.
It is a striking statistic that reveals an uncomfortable truth about Uganda’s digital ambitions. While the country is preparing to embrace artificial intelligence, the cost of basic connectivity remains a significant barrier for many of the people expected to benefit from it.
The challenge is no longer simply about introducing new technology. It is about ensuring that people can afford to use it.
Read About: Uganda’s internet access gap threatens AI ambitions
What does internet affordability in Uganda actually mean?
Internet affordability is often discussed in terms of the price of a daily or weekly data bundle. However, the broader economic picture is more complicated.
The affordability measure cited in Uganda’s AI Readiness Assessment comes from 2025 data published by the International Telecommunication Union.
It examines a mobile broadband high-consumption basket containing 5GB of data, 140 minutes of voice calls and 20 text messages per month.
The cost of this package is then compared with monthly gross national income per capita, a standardised indicator used for international comparisons.
For Uganda, the package represents approximately 7.95% of that income measure.
This does not mean every Ugandan spends exactly 7.95% of their monthly earnings on internet services. Actual expenditure varies significantly depending on income, usage, location and telecommunications packages.
Nevertheless, the indicator helps reveal how expensive connectivity is relative to the country’s overall income levels.
The assessment goes further, observing that the effective burden is approximately double the national average for the bottom 40% of earners.
This matters because the people with the greatest potential to benefit from affordable digital services may also face the greatest financial barriers to accessing them.
A household with limited disposable income must prioritise immediate needs. Food, housing, education, transport and healthcare often take precedence over regular internet access.
Consequently, connectivity can become an intermittent expense rather than a dependable utility.
That reality affects more than entertainment or social media consumption. It shapes access to employment information, educational resources, business opportunities and digital public services.
The hidden economic cost of expensive internet
The price of internet access has consequences beyond the amount deducted from a mobile money account.
It can also determine which economic opportunities people pursue.
Consider a freelance graphic designer attempting to build a client base beyond Uganda. Finding international customers may require maintaining an online portfolio, participating in video meetings, downloading design resources and uploading finished work.
For someone working with limited data, these activities create recurring costs that may reduce the profitability of otherwise promising opportunities.
Similarly, an entrepreneur operating an online retail business may need to upload product photographs, respond to customer inquiries, run advertisements and monitor orders.
Reliable connectivity becomes part of the business’s operating infrastructure.
When that infrastructure is relatively expensive, the business faces a disadvantage before accounting for other costs.
Artificial intelligence introduces another layer to this challenge.
AI tools can potentially help entrepreneurs create marketing materials, analyse financial records, forecast demand and improve customer communication.
However, many commonly used AI services depend on cloud infrastructure and require internet connectivity. Some also charge subscription fees or impose limits on free usage.
For a small business, the combined expense of connectivity, software subscriptions and suitable devices can make adoption difficult.
The result is a potential productivity divide.
Businesses with adequate resources may use AI to improve efficiency and expand their markets. Meanwhile, smaller enterprises could struggle to access the same advantages.
Over time, this could reinforce existing inequalities in business competitiveness.
Uganda’s mobile-first economy makes affordability even more important
Uganda’s internet ecosystem is overwhelmingly dependent on mobile connectivity.
The AI Readiness Assessment cites the Uganda Communications Commission’s fourth-quarter 2025 market report, which recorded approximately 18.5 million mobile internet subscriptions.
By comparison, Uganda had only 103,838 fixed broadband subscriptions, according to the 2024 figures referenced in the assessment.
These figures demonstrate the enormous difference between mobile and fixed internet adoption.
They also explain why affordability decisions in the mobile telecommunications market have substantial implications for the country’s digital economy.
Unlike households with fixed broadband connections, mobile-first internet users may rely on prepaid packages with defined data allowances and expiry periods.
This can make heavy or unpredictable internet usage more difficult to manage.
For AI developers, the implications are particularly significant.
An application designed for customers with unlimited home broadband may perform poorly commercially when introduced to a market dominated by cost-conscious mobile users.
Features such as automatic video playback, unnecessarily large downloads and continuous background synchronisation can make services expensive to use.
A sophisticated product may therefore fail to attract widespread adoption, not because its technology is inadequate, but because its operating requirements do not match the realities of its intended users.
In Uganda’s digital economy, the affordability of using a product can be just as important as the usefulness of the product itself.
Could AI become another privilege of the digitally connected?
One of the most important questions emerging from the assessment concerns inequality.
Artificial intelligence has the potential to make valuable information and services more accessible.
A student could receive personalized explanations of difficult concepts. A farmer could obtain agricultural recommendations. A small entrepreneur could access business advice that would otherwise require professional assistance.
Yet these benefits depend on practical access.
A well-connected student in Kampala may be able to experiment with AI applications regularly. Another student in a rural district may have to contend with expensive data, limited electricity access and fewer digital learning resources.
Both students may possess similar ability and ambition. However, their opportunities to develop AI-related skills could be substantially different.
The assessment highlights these wider infrastructure inequalities.
It reports national electricity access of approximately 51.5%, with rural communities experiencing considerably lower access levels than urban areas.
It also notes that only 38% of schools have internet connectivity, based on the educational infrastructure evidence reviewed.
The concern is not simply that some people may adopt AI later than others.
It is that the ability to use AI productively could influence future educational outcomes, employment opportunities and business competitiveness.
If these advantages accumulate primarily among people who already enjoy reliable connectivity, technological progress may widen existing socioeconomic differences.
This is why meaningful digital inclusion must become part of Uganda’s AI development agenda.
Telecommunications companies have an important role to play
Uganda’s telecommunications industry has made considerable investments in network expansion, digital services and financial technology.
However, the next phase of digital development will require attention to both infrastructure availability and sustained affordability.
Lowering connectivity costs is not necessarily straightforward.
Telecommunications operators face substantial expenditure involving network equipment, electricity, maintenance, spectrum, backhaul infrastructure and customer service.
Any discussion about affordability must therefore recognise the financial requirements of maintaining and expanding networks.
Nevertheless, the AI economy creates reasons to explore new approaches.
Operators could consider educational access packages, partnerships with public institutions, affordable data plans for essential digital services and commercial arrangements that support low-bandwidth applications.
Such measures would need to be designed carefully to preserve fair competition, user choice and sustainable service delivery.
There is also a potential commercial benefit.
As more people gain the ability to participate meaningfully in the digital economy, demand for online services could increase.
This may create opportunities for telecommunications companies, technology developers, payment providers and digital businesses.
Rather than viewing affordability solely as a pricing concession, industry stakeholders could examine it as part of a longer-term market development strategy.
However, the effect of lower prices on adoption would need to be measured rather than assumed.
African AI developers must think beyond powerful technology
For Uganda’s growing technology community, the assessment carries a practical message.
Building an effective AI application is only one part of creating a successful product.
Developers must also consider how that application will reach users and what it will cost them to operate.
This may require a different approach to product design.
For example, an agricultural advisory platform could minimise unnecessary images and large downloads while prioritising short, useful text responses.
An education tool could allow learners to download selected materials while connected and continue using them offline.
An AI-powered customer support system might provide straightforward information through lightweight interfaces instead of requiring customers to download a large application.
Some tasks may also be suited to on-device AI models, which can perform certain functions without maintaining a constant internet connection.
However, offline AI is not a universal solution. It introduces its own challenges involving device capability, model size, maintenance, accuracy and updates.
The important principle is to match technology design with local economic conditions.
This could become a source of competitive advantage for African technology companies.
Solutions developed for environments with limited bandwidth and constrained purchasing power may also prove relevant in other emerging markets.
What should Uganda’s Government prioritise?
Uganda’s AI Readiness Assessment is not merely a description of technological challenges. It is intended to inform national planning and responsible AI governance.
The report proposes 23 high-level policy recommendations across 11 policy areas.
Among its technical infrastructure priorities is the development of a National AI Infrastructure Plan covering broadband connectivity, domestic computing capacity, cybersecurity and research infrastructure.
The proposed timeline for this infrastructure initiative is 2026–2028.
This is an important policy direction, although the report’s recommendations should not be confused with measures that have already been fully implemented.
For internet affordability, progress will require coordinated efforts across several areas.
Expanding infrastructure into underserved locations remains important. However, infrastructure investment must also be accompanied by measures that make connectivity financially accessible.
Competition, efficient network investment, appropriate regulatory frameworks and reliable energy supply can all influence the economics of service provision.
Public institutions could also examine ways to improve connectivity for schools, health facilities and community learning centres.
Digital literacy deserves similar attention.
Affordable internet has limited economic value if users lack the skills or confidence needed to benefit from digital services.
Therefore, successful AI policy must consider affordability, education, infrastructure and governance as interconnected priorities.
An East African challenge with regional consequences
Uganda’s experience offers lessons for the wider East African region.
Regional governments increasingly recognise artificial intelligence as a potential driver of productivity, innovation and public service improvement.
However, the ability to convert AI investments into broad economic benefits will depend on the accessibility of digital infrastructure.
A regional market for AI products cannot reach its full potential if significant portions of the population are unable to use those services consistently.
This presents an opportunity for East African policymakers, telecommunications operators and technology companies to collaborate on connectivity, skills development and locally appropriate applications.
It also creates an opportunity for entrepreneurs.
Developers who understand the economic realities of African consumers may be better positioned to create commercially sustainable AI services than those who simply replicate products designed for wealthier markets.
The region’s competitive advantage may not come from building the largest AI models.
It may come from developing technologies that deliver meaningful value under conditions of limited bandwidth, lower purchasing power and diverse user needs.
The true cost of Uganda’s AI revolution
Artificial intelligence will not transform Uganda simply because powerful tools become available.
The transformation will depend on whether individuals, institutions and businesses can integrate those tools into everyday life.
Uganda’s AI Readiness Assessment makes it clear that connectivity affordability remains an important barrier.
When a basic mobile broadband consumption basket costs 7.95% of monthly gross national income per capita, the economic distance between technological availability and meaningful participation remains substantial.
For policymakers, this is a call to strengthen the foundations of the digital economy.
For telecommunications companies, it presents an opportunity to explore sustainable ways of expanding meaningful connectivity.
For technology developers, it is a reminder that innovation must respond to the circumstances of the people it intends to serve.
And for ordinary Ugandans, the stakes extend far beyond access to another application.
They concern education, employment, entrepreneurship and the ability to participate in an economy increasingly influenced by digital technology.
Uganda’s AI future will ultimately depend not only on how advanced its technology becomes, but also on how affordable that technology is for the people expected to use it.
Until the economics of connectivity improve, the country risks building a sophisticated digital future that remains financially out of reach for too many of its citizens.
