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Travel & Tourism AI

Solve the Journey: How African Tourism Can Win in the Age of AI

Africa doesn’t have a tourism problem. It has a data and discovery problem - and AI is quickly becoming the gatekeeper between traveller intent and African tourism bookings.

Dr. Danie MaritzApril 15, 20265 min read
Solve the Journey: How African Tourism Can Win in the Age of AI

This morning at WTM Africa, the conference opened with a choir.

Bright fabric, drum rhythms, voices rolling through the hall under a giant “WELCOME” banner. For a few minutes, the room remembered why people travel to Africa in the first place: to feel something real, to be moved, to be changed.

A few steps away, another screen lit up: FUTURE STAGE - #BeThereFirst. Neon, headsets, travel tech.

Those two images - the choir and the future stage - perfectly capture where African tourism stands in 2026. On one side, a continent rich in story, culture and nature. On the other, a new layer of algorithms and AI agents quietly deciding what gets seen, suggested and booked.

Right now, most African experiences live powerfully in the first image and barely exist in the second.

WTM Africa opening welcome stage with choir performance in Cape Town
WTM Africa opened with a reminder of what makes travel to the continent meaningful: lived culture, place, and story.
WTM Travel Tech future stage sign at WTM Africa
Just a few steps away, travel tech and AI signage pointed to the next gatekeeper shaping discovery and bookings.

The data is clear - and uncomfortable

South Africa grew tourism arrivals 17.7% in 2025. Across the continent, arrivals grew 8%, the fastest of any region globally.

But the ATW State of the Industry Report released here last year asked a harder question: “Are we telling our own story - or someone else’s?”

Their answer: Africa is still chasing slowly recovering Western markets while an estimated US$60 billion in high-growth opportunity - Middle Eastern travellers spending up to US$15,000 per trip, Indian and Gulf outbound growing at double the global average - goes almost untouched.

At the same time, 97.8% of travel executives say AI will transform tourism within five years. Yet when my team at Green Everest audits African tourism businesses, the average AI discoverability score is 1.0 out of 5.0.

Not because the product isn’t world-class.

Because the story - and the underlying data - were never designed to be legible to the systems now deciding who gets recommended.

Industry panel discussion at the Inspire Theatre at WTM Africa
The conversations on the floor reflected the same tension: tourism demand is growing, but visibility in AI-mediated discovery is still weak.

A new gatekeeper is in charge

Tourism has always had gatekeepers.

First it was brochure racks and wholesaler contracts. Then Google and the OTAs. Then Instagram and influencers.

Now, the new gatekeepers are AI assistants and intelligent agents - ChatGPT, Google’s AI Overviews, Perplexity, and private travel planners that sit between a traveller’s desire and every booking in the world.

These systems don’t scroll your feed or guess from a pretty picture. They reason over structured, specific, machine-readable information. They assemble answers from whatever clean data they can find.

If your lodge, destination or experience is not described in that language, you aren’t just pushed down the list. You simply don’t exist in the conversation.

The leapfrog moment

Here’s the good news: this is Africa’s leapfrog moment.

The ATTA AI survey released at WTM Africa 2025 found that 85% of African tourism businesses are already using AI or planning to. 58% are applying it operationally in marketing, customer experience and planning.

The number-one barrier? 81% cite lack of technical knowledge - not knowing where to start, how to sequence it, what to build first.

That’s not a capacity problem. It’s a clarity problem.

Operators in Europe and North America are spending huge effort retrofitting AI onto legacy systems that were never built for it. It’s expensive, slow and frustrating.

Most African operators are building earlier, with fewer legacy constraints. If we build in the right order, we can leapfrog the retrofit entirely.

Eco Africa Digital stand at WTM Africa
On the exhibition floor, the appetite to act was obvious. What most operators need now is clearer sequencing, not more noise.

What “solving the journey” actually means

At Green Everest, we talk about solving the journey. In practical terms, it means getting three things working together.

  1. Intelligence visibility

    AI can see you, find you and describe you accurately.

    That means your data is structured, specific and consistent across your website, Google Business, OTAs and DMO listings. Room types, experiences, facilities, policies, FAQs - all clear and up to date. Not just beautiful. Legible.

  2. Story intelligence

    Your experiences are described in the language of human desire.

    Not “luxury bush experience”. But: “A 6,000-hectare private reserve where your tracker has walked this land for 22 years and starts every morning with the sound of a marsh owl calling from the fever trees.”

    That kind of detail is what AI can match to a real person’s request.

  3. Action intelligence

    AI can do something with you.

    It can check availability, see pricing, route an enquiry or complete a booking. By 2030, around a third of bookings are expected to be executed by AI agents. If your inventory can’t be reached, you are structurally excluded - no matter how good your product is.

What to do this week

Three steps you can take during WTM, not “after the conference dust settles”:

  1. Ask an AI what it knows about you.

    Open ChatGPT or Perplexity and ask about your lodge, your destination, your region. The gap between what it says and what you wish it said is your starting map.

  2. Take a 10-minute readiness check.

    Use a simple assessment like the free Green Everest AI Readiness Survey at greeneverest.co.za to get a score across data, discoverability, workflows and people. You don’t need a 60-page strategy. You need to know what to fix first.

  3. Restructure one story.

    Choose your most distinctive experience and rewrite it with real, specific detail. Turn your best guide’s knowledge into a clear FAQ. You’ve just started translating your magic into machine-readable form.

You don’t have to solve everything at once. You do need to decide what to solve first.

As Peter Diamandis writes in Solve Everything: “The future is not something that happens to us. It is something we aim at.”

Africa’s tourism sector is aimed at something extraordinary. The only question is whether we build the intelligence infrastructure that connects the world to that extraordinary thing - or wait for someone else to solve it first.

The journey is yours to solve.
Start at greeneverest.co.za.

Tags
WTM AfricaAfrican TourismAI in TourismTourism DiscoverabilityStructured DataDestination Marketing

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