The uncomfortable finding from the 2026 KPMG Africa CEO Outlook is not that East African leaders are sceptical about AI. It is that they are committing attention to a technology they cannot yet defend in shillings. Across East Africa, 74% of CEOs call AI a top investment priority, but only 12% say they are keeping pace with it. That gap is not a reason to avoid AI. It is a reason to buy it with the same discipline you would apply to a generator, a fleet, or a warehouse lease: define the problem, prove the return, then pay for the result.
74%
East African CEOs who call AI a top investment priority
12%
East African CEOs confident they are keeping pace with AI
The gap is documented: high ambition, thin evidence of return
The regional data reflects a familiar boardroom mood: AI has become a strategic must-have, but operating proof is missing. In East Africa, 74% of CEOs rank AI as a top investment priority, slightly above the African average of 72% and below a global figure of 79%. Yet only 12% feel they are keeping pace with or ahead of AI, against 14% for Africa and 66% globally. The survey also shows that 78% of East African CEOs plan to allocate no more than 20% of their budget to AI over the next 12 months. That is a modest commitment for a supposedly top priority, and it should tell you something: most boards are still testing, not scaling.
What Ugandan disclosures actually show
When you look for measurable AI payoff in Ugandan company disclosures, you mostly find announcements, not outcomes. One telecoms business disclosed an AI-based spam-alert service but no customer numbers, cost, or earnings impact. A financial services group signed a memorandum of understanding on AI-driven banking, with no product in use, no date, and no investment disclosed. Another bank advertised for a senior data scientist to build predictive models and production-grade applications focused on operational efficiency. None of this is a return. It is a hire, a pilot, or a press release. That distinction matters when you are writing the cheque.
The reason the Ugandan evidence is thin is partly structural. Around 72% of Ugandans were still offline at the start of 2025, and only 28% were connected to the national grid. AI runs on data and reliable connectivity. If your customers, branches, or operations sit on the wrong side of that gap, an AI project will struggle before it reaches the demo stage. This is why data readiness is cited by 60% of East African CEOs as a major implementation challenge, equal with cost. The right buying question is not 'which AI tool is best?' but 'where will the data come from, and who will make it usable?'
Start from a measurable business problem
The most common expensive mistake is to buy an AI capability and then search for a use case. Reverse that. Start with one business process where poor speed, high error, or high labour cost is already visible. Baseline it in units you already manage: shillings, hours, error rate, turnaround time. Only then ask vendors how their system would move that baseline. If a vendor cannot articulate which baseline moves, by roughly how much, and which data is required, the rest is theatre. For more on structuring that conversation, read our guide to hiring a software or AI vendor in Uganda without overpaying.
- Name one process you want faster, cheaper, or less error-prone: invoice matching, customer support triage, inventory forecasting, or document review.
- Measure its current cost and time weekly for a short baseline period, not from memory.
- Share the baseline with prospective vendors and ask them to commit to a pilot against it, not to show another dashboard.
Demand a proof-of-value pilot before you commit budget
A proof-of-value pilot is a small, time-boxed test with a pre-agreed metric. It is not a free demo, and it is not a vendor's sandbox. Set the success threshold before the pilot begins. For example, if the goal is invoice-processing speed, agree that full rollout only follows if the pilot reduces manual handling time by a specified percentage at a specified accuracy level. If the vendor refuses to tie the pilot to a measurable outcome, treat that as a signal. This is where procurement discipline protects you from buying a well-marketed idea. For common traps, see procurement mistakes Ugandan businesses make and how to avoid them.
Pilot gate in one line
No agreed metric, no pilot. No pilot, no rollout. No rollout, no large upfront payment.
Buy for operational efficiency first
The KPMG survey suggests returns from AI in East Africa are expected to concentrate in operations, not blue-sky revenue. Efficiency and productivity are cited by 64% of East African CEOs as the main perceived benefit; threat detection and security by 56%. There is no strong evidence in the survey that AI is generating new customer revenue at scale in Uganda. Therefore, your first AI purchase should look for boring, defensible savings: fewer manual steps, faster turnaround, fewer errors, better risk screening. That is the path to a payback calculation you can defend, rather than a revenue promise you cannot verify.
- Efficiency / productivity
- 64% of East African CEOs cite this as the main perceived benefit
- Threat detection / security
- 56% of East African CEOs cite this
- New customer revenue at scale
- Not supported by disclosed Ugandan company results
Refuse to overpay for technology not yet linked to returns
The global AI market often prices as if returns are immediate. The survey of East African CEOs says otherwise: 42% expect AI returns within three to five years, compared with 30% across Africa and only 12% globally who expect returns beyond three years. In other words, East African buyers are accepting a longer, less certain payback than their global peers. That does not mean AI is a bad investment. It means you should not pay frontier prices for a technology that may take several years to prove itself in your environment. Before you accept a long payback for something sold as urgent, read Uganda's AI investment surge: what business buyers should know.
A practical buying sequence
- Choose one operational process and baseline its current cost, time, and error rate.
- Write a short proof-of-value brief: which metric must improve, by how much, and in what period.
- Invite no more than three vendors, and ask each for a live pilot against the same brief.
- Pay only for the pilot until the agreed threshold is met.
- Review the result before approving any larger deployment; if the threshold is not met, walk away without penalty.
The Ugandan firms that eventually show AI returns will not be the ones with the most impressive announcements. They will be the ones that treated AI like any other capital purchase: scoped, tested, and paid for results. The survey gives you a useful map of the gap. Your job is not to close that gap with enthusiasm; it is to close it with thresholds, data, and contract terms that protect your cash. That is where independent procurement advice adds the most value: not in choosing the vendor, but in designing the decision.