Future Directions: Digitalisation, Smart Tourism & Regenerative Tourism

00 · Our position

Every tool is an amplifier.

It makes good governance stronger — and bad governance faster.

The optimistic version

AI spreads demand away from overloaded hotspots. Sensors protect fragile sites. Blockchain proves your fee actually planted the trees.

The version we are testing

The same tools also concentrate booking power in three platforms, turn visitors into data products, and let operators rebrand business-as-usual as “regenerative”.

Both are true at once. That is the actual topic.
“Smart” and “regenerative” are not outcomes — they are claims. Our job today is to give you a way to test them.

01 · Concepts

Three words that get used interchangeably

Term	Means	Typical tools	What it is
Digitalisation	Technology applied to tourism processes	Booking, payment, ticketing, identity	An input
Smart tourism	Data + connectivity used to steer a destination in real time	Crowd dashboards, dynamic pricing, digital twins	A management model
Regenerative tourism	Tourism deliberately leaving a place better than it found it	Restored habitat, local ownership, community veto	A goal

The distinction nobody makes: digitalisation is an input, smart tourism is a management model, regenerative tourism is a goal. Buying the input does not give you the model — and the model does not guarantee the goal.

02 · Digitalisation

What actually changed — 2025 to now

+350%

Search interest in “AI travel assistant” and “AI concierge”, past year

Google, 2026

63%

of active APAC travellers now use AI regularly to organise trips

Agoda Travel Outlook

68%

still prefer to BOOK with a trusted brand rather than an AI agent

Expedia Group, 2026

$16tn

projected tourism contribution to global GDP by 2034 — over 11% of the economy

World Economic Forum

It stopped answering. It started doing.

2024: you searched, you compared, you booked. → 2026: the agent reprices while you sleep, rebooks the strike-affected leg, and bundles breakfast — inside one chat interface. Expedia acquired AI planner Layla; Trip.com's TripGenie books end-to-end; Google added hotel booking inside its AI Mode in the US.

02 · Power shift

Who owns the interface owns the customer

Dimension	Traditional OTA	Agentic AI (2026)
Discovery	Search results you scan	One recommendation the agent chose for you
Pricing	Static / seasonal	Predictive, per-profile, negotiable
Who benefits	Anyone with SEO budget	Whoever has clean structured data & machine-readable inventory
Who loses	Small operators with weak data	The same operators — only faster

UN Tourism made this the theme of World Tourism Day 2026 — “Digital Agenda and AI to Redesign Tourism” — warning that badly governed AI funnels demand back to the same platforms and places, leaving smaller businesses and emerging destinations behind.

02 · Side effect

The twist: AI may be the strongest anti-overtourism tool we have

The promise

Recommendation engines route travellers to secondary cities — Fukuoka instead of Kyoto, Denpasar instead of Bali's south. Agoda data: the shift is already measurable, not hypothetical.

The problem

It optimises for availability and price, not carrying capacity. A quiet village is not “under-visited” — it may be quietly protected. The agent does not know the difference.

Link back to Topic 4 (overtourism): spreading visitors is a dispersal tactic, not a ceiling. If no destination sets a limit, an efficient algorithm simply finds the next fragile place faster than we did.

03 · Smart destinations

Two very different things go by this name

Screens, gates, sensors, a “smart city” brand, one app nobody downloads. The failure mode is common enough to have a name: built, then abandoned — data stuck in silos, no orchestration, no maintenance budget.

Hangzhou's city-level agent “Hang Xiaoyi” plugs into 1.5m hotels, ~10,000 attractions and live airline inventory — then delivers 10-second room finding, 20-second entry, 30-second check-in. Its AR + 5G + GIS crowd system lifts risk-warning efficiency by roughly 40%.

What makes B work is not the AI — it is that someone forced the datasets to talk to each other first. China now runs close to 30 provincial-level smart tourism management platforms sharing roughly 200 indicators.

03 · The European answer

Europe chose governance before gadgets

European Tourism Data Space — deployment via DEPLOYTOUR (launched late 2024), aimed deliberately at SMEs and DMOs that cannot build their own stack.
EU Capital of Smart Tourism — Dublin 2024 → Turin 2025; Green Pioneer Benidorm 2025. Winners are expected to share tooling, not just hold a trophy.

Why this matters to us: Budapest cannot out-spend a Chinese megacity on sensors. But a shared European data space lets a mid-sized operator compete on data openness instead of budget.

04 · The regenerative turn

From slowing the damage to reversing it

Sustainable

Do less harm.
Keep impacts within carrying capacity. Target: net zero.

Regenerative

Leave it better.
Restore; hand decisions to residents. Target: net positive.

And the scoreboard changes with it:

Biodiversity
net gain

Community
happiness index

Cultural vitality
(language, crafts)

Economic
circularity

Arrivals and GDP stop being headline numbers — because they hide the cost side of the ledger.

04 · Good cases

Two places doing it with credibility

🇳🇿 New Zealand — a national framework

The Tourism Sustainability Commitment turns operator pledges into public, measurable targets.

Queenstown — cuts carbon, protects dark skies; stops chasing volume
Wellington — Zealandia urban sanctuary: predator-free restoration packaged as a city product
Rotorua — Māori kaitiakitanga (guardianship) governs operations, not just the welcome speech

Credible because: national framework, public indicators, and the Indigenous community holds decision rights.

🇵🇹 Amarante, Portugal — one project

The River Tâmega flooded the town. Instead of a higher wall: replant native banks, add water retention, build three accessible trails.

Lower flood risk, better water quality, restored biodiversity, more local spend
3rd place, Nature & Scenery — Green Destinations Top 100 Story Awards 2026

Credible because: one intervention, three goals — adaptation, ecology, economy — publicly owned and measured.

05 · Where it breaks

Three failure modes

1

Regenerative washing

“Business as usual with better optics.” — The Tourism CoLab

The image is visitors in garden gloves planting a tree, or a branded beach clean-up. But the activity is usually bolted onto an unchanged itinerary — ownership, pricing and profit distribution stay exactly the same.

Working IN the system: smaller footprint, add-ons, better marketing.

Working ON the system: who decides, who owns, who captures the value, who can say no.

Regeneration is a governance question wearing a marketing costume.

2

The eco-destination that priced out its own community

+400%Guanacaste coastal property values, 2020–2023

$800monthly rent for a 200 sq ft apartment in Nosara

25%of Costa Rican workers now tied to tourism

Costa Rica is the textbook eco-tourism success: over a quarter of its territory protected, GDP per capita rising, and 85% of travellers saying sustainability matters. Yet in Nosara — the flagship — long-term residents can no longer afford to live in the village their own eco-tourism built.

Nothing illegal happened. Every individual decision was rational. The system extracted anyway.

3

When “smart” quietly becomes surveillance

The case

A Chinese ancient-town scenic area sold visitors a ¥30 AI-edited video of their own walk — produced by cameras tracking them by facial recognition across the site. Suspended in August 2026 after public and regulatory challenge.

The counterweight

Italy became the first EU state to put the AI Act into detailed national law (10 June 2026): real-time facial recognition requires judicial authorisation and is capped at 15 days; mass biometric scanning and scraped face databases are banned.

Convenience arrives first, consent is retrofitted later, and the default becomes permanent.
Same underlying technology, different governance — that is the whole topic in one slide.

Interactive

Regenerative — or regenerative-washing?

Five real-sounding claims. Decide which ones you would accept as genuinely regenerative. Then compare with our answer.

01“We plant a tree for every booking.”

Based on hard evidence that adding a tree to an unchanged itinerary does not alter ownership, pricing or who captures the value. This is the “gloves and shovels” image — activity without system change.

02“The community cooperative holds a veto over visitor numbers.”

A veto is decision power, not a marketing claim. This is working ON the system — it changes who decides, including who can say no.

03“We replaced our printed maps with an app — we are now a smart destination.”

That is an input, not a management model — and definitely not a goal. Version A of slide 08: hardware without a data loop.

04“We publish our biodiversity net gain annually, audited by a third party.”

Measurable, audited, outcome-based — this is exactly what distinguishes the Amarante case from greenwashing rhetoric.

05“Our resort is regenerative because guests love nature and stay longer.”

Longer stays CAN help — but this claim reports no change in who owns, who earns, or who decides. Ask about Guancaste: value can rise 400% while residents get displaced.

0 / 5 answered · make your calls above

The pattern: regeneration is credible when it is measurable, audited and changes decision rights. It is washing when it changes only the marketing.

06 · What this means for us

Three questions we now ask before believing any “smart” claim

1

Who owns the data?

Collected from visitors — or about visitors? Can a local operator get their own data back?

2

Who captures the value?

Does money stay local — or leak to whoever owns the platform and the model?

3

Who decides — and who can say no?

Is there a community veto? Or is “regenerative” simply what the operator decided to call it?

07 · Let's argue

Pick your side

Quick poll first: raise your hand if you would let an AI agent plan and book your next trip end-to-end.

Our take: dispersal without a ceiling is not protection. The receiving town usually has fewer defences than Venice had, and no mechanism to refuse. Compare Topic 4 — every “solution” that only moves people around leaves the growth logic untouched.

Our take: opt-in is not consent when refusing costs you the experience, and when the data outlives the trip. Italy's 2026 decrees effectively decided this question: make exceptions narrow, judicial and temporary rather than default.

Our take: both, and that tension is the honest answer. If the fix only exists for rich travellers, it is a product, not a transition — which is why we keep arguing it is a governance question rather than a consumer one.

· References

Sources and further reading

Industry / market

Expedia Group research 2026 (68% trust gap) · Agoda Travel Outlook (63% APAC AI use) · Google, AI Mode hotel booking & reported +350% search interest · Trip.com TripGenie · Expedia acquisition of Layla

UN / EU institutions

UN Tourism, World Tourism Day 2026 theme “Digital Agenda and AI to Redesign Tourism” · European Capital of Smart Tourism (Dublin 2024, Turin 2025, Benidorm 2025) · DEPLOYTOUR & the European Tourism Data Space

Regenerative practice

New Zealand Tourism Sustainability Commitment · Green Destinations Top 100 Story Awards 2026 (Amarante, Portugal) — via the EU Transition Pathways Platform · WEF “Beyond Tourism Impact Stars” with Saudi Arabia & Kearney

Critique

The Tourism CoLab, Learning to See Regeneration (working ON vs IN the system) · GSTC traveller sentiment data · Costa Rica / Nosara property and labour data via tourismanalytics

Regulation

Italy — implementing decrees under Law No. 132/2025, in force 10 June 2026 (facial-recognition limits, Art. 437-bis) · EU AI Act · China: scenic-area facial recognition cases reported by Sichuan Legal News, August 2026

Flag before citing

Two figures are carried from secondary reporting and should be re-checked before use in an assessment: the WEF $16tn / 2034 projection, and the exact entry into force of the Italian decrees.