The case for digital transformation in Kenya's hospitality

This story has significance for readers across Kenya and beyond.

Here is an uncomfortable truth: Kenya taught the world how to move money on a mobile phone, yet it still cannot tell you with any confidence how well its hotels are pricing a Tuesday in April.

This is the country that built M-Pesa, earned the name Silicon Savannah, and launched a National Artificial Intelligence Strategy in March 2025 with the explicit ambition of leading the continent. Its tourism sector, the most dependable foreign exchange earner, remains one of the least digitally mature parts of the economy.

The commercial performance makes the gap harder to see, not easier. Kenya generated roughly Sh500 billion in tourism earnings in 2025, welcoming 7.9 million visitors in total. International arrivals rose from 2.47 million to 2.7 million, growth of about nine percent against a global average nearer four percent, and the fifth consecutive year of revenue growth. Kenya is now the most visited destination in East Africa.

Those are genuinely good numbers, achieved substantially without the tools the rest of the industry has come to take for granted.

There is no sector-wide audit of technology adoption in Kenyan hospitality. The nearest comparable evidence on the continent comes from our own research further south, where the 2025 HAMAC South African Hoteliers Report found that while 77 percent of hoteliers said they were actively exploring new technology, fewer than 38 percent were using AI in revenue management and more than a third had no AI strategy at all.

That is a sector collecting brochures and calling it progress. Kenya's digital economy is more advanced than South Africa's in several respects, but very little of that advantage has reached the hotel floor.

Globally, hotels using AI-driven revenue management report an estimated 17 percent increase in total revenue against those still relying on traditional methods, and more than 86 percent of hoteliers internationally now depend on AI for forecasting and demand analytics.

BCG's analysis with NYU found that fewer than 10 percent of hospitality companies worldwide could be described as genuinely “future built” in AI capability, with only a quarter in a scaling phase where strategy begins to generate real returns.

Kenyan operators are not competing against each other. They are competing against that benchmark, and against Egypt and Morocco, both of which are investing heavily in infrastructure, hotel capacity and promotion.

To understand why this matters as much as it does, consider the weight the sector is being asked to carry. The World Travel & Tourism Council put travel and tourism's contribution to Kenya's economy at around Sh1.2 trillion in 2025, more than seven percent of GDP, sustaining at least 1.7 million jobs or roughly eight percent of national employment.

The government is targeting 10 percent of GDP from tourism by 2027 and 5.5 million arrivals, ambitions formalised in the National Tourism Strategy for 2025 to 2030.

These are not modest targets. They are the kind of numbers that require the sector not simply to grow, but to become measurably more productive.

Record earnings are not the same as readiness for the next five years. The industry is at a fork. One path leads to competing seriously on the global stage, with the digital sophistication Kenya has already proved it can produce.

The other leads to becoming a beautiful destination with world-class properties and an analogue back end.

The country that taught the world mobile money should not be running its hotels on instinct and spreadsheets, and the window for choosing which path we take is narrowing faster than most people are prepared to admit.

Arrival growth alone will not deliver that. A sector can outperform the global average, break its own earnings record, and still be falling behind on the metrics that determine long-term competitiveness.

This is an industry of national consequence being asked to carry significant economic weight at the very moment it faces one of its most serious long-term risks: a structural gap between digital aspiration and operational reality that, left unaddressed, will compound quietly until it becomes very loud indeed.

Grid fragility is quietly deciding what gets built

The reason this gap exists is not ignorance, and it is not laziness. It is something more structural, and in Kenya's case it is more subtle than a simple shortage of capital.

On the night of 29 July this year, a technical disturbance on the national grid plunged Nairobi, the Coast, Mount Kenya and parts of the Central Rift into darkness for hours. It followed a near-nationwide outage in December 2025 traced to the Kenya-Uganda interconnector.

The President acknowledged in late 2025 that demand was outstripping supply and that evening rationing was necessary to prevent a wider collapse, putting the cost of expanding capacity toward 5,000MW at around KSh1 trillion.

Ketraco has identified a transmission financing gap of roughly $4.4 billion, while system losses ran above 23 percent in 2025 against an allowable benchmark closer to 17.5 percent.

For a hotelier, every one of those events is an argument for the spreadsheet. Modern revenue management is always-on, cloud-dependent and data-hungry. It assumes continuity.

When continuity is the thing you cannot count on, the rational short-term response is to keep the critical decisions in a system you can run on a laptop with a charged battery, and to spend the available capital on generators, inverters and solar rather than on data infrastructure. That instinct is entirely defensible.

It is also, compounded over five years, how a sector falls behind. When the choice is between fixing what is broken and building what is new, the broken thing wins every time. But while you are fixing it, the world keeps moving.

The capability gap is just as dangerous as the capital gap

Even where a budget exists, the human capacity to deploy technology effectively is often missing. Kenya is unusually well placed here and is not using the advantage. Kenya Utalii College has trained more than 60,000 graduates over five decades and is one of only three African members of the international association of hotel schools. Few countries on the continent have an asset like it.

The National AI Strategy, meanwhile, contains a serious talent development pillar and commits to integrating AI and digital skills into education curricula. Its priority sectors are health, agriculture, education, finance and public service.

Tourism, which delivers more than 7 percent of GDP and 8 percent of national employment, does not appear among them. A country cannot credibly target 10 percent of GDP from a sector it has left off its own AI roadmap.

The capabilities in question are not exotic. They are what is needed to interrogate AI outputs, manage digital systems with confidence, and build the data-informed culture that makes technology investment worthwhile rather than wasteful.

Buying a revenue management system and staffing it with people who cannot challenge what it recommends is not digital transformation. It is an expensive decoration. Graduates arrive equipped for the industry that existed, not the one that is emerging.

We need coordinated action

Kenyan hoteliers are resilient. They have traded through election cycles, security advisories, a pandemic that cut revenues by 70 percent in a single year, and a grid that fails without warning. But resilience is not a digital strategy, and surviving is not the same as competing.

The solution requires action from the entire ecosystem. Government must treat reliable power as a precondition for sectoral competitiveness rather than an aspiration, and should bring tourism formally into the National AI Strategy's priority sectors, where its economic weight plainly earns it a place.

Training institutions must embed data literacy and digital fluency into every hospitality curriculum as a core requirement rather than an elective. Industry bodies must build the practical capability support and shared frameworks that individual operators cannot develop in isolation.

Reporting originally appeared via Business Daily. Read the full source for additional context.