The Future of Hospitality: 10 Predictions for the Next Decade

The future of hospitality will be set less by new gadgets than by constraints: who is available to work, what the rules allow, how guests cross borders, what they choose to drink, and how hot the summers get. That is the reading this article is built around.

Ten predictions follow. They are informed views, not forecasts. Each rests on a published source, carries a confidence level, and says what would prove it wrong. Where the evidence is thin, the text says so.

How should you read these predictions?

Read them as reasoned bets, ordered by confidence and then by how directly the evidence supports each claim. A prediction is only useful if you can tell when it has failed.

Each item below has the same parts:

• The prediction, in one sentence.
• The evidence, with a link to the page it came from.
• The reasoning, which is inference and not a finding.
• Confidence, high, medium or low.
• What would change this view.

Most of the evidence is regulation, demography and measured behaviour, because these move more slowly than fashion. Several figures come from outside hospitality (the AI figures are for business in general). That is flagged where it matters.

The ten predictions

1. Short-term lets join the hotel rulebook

Prediction: Registration, licence numbers and night caps for short-term rentals become normal in most major destinations. Confidence: high.

Evidence: Vancouver's official page says a licence is needed for any rental under 90 consecutive days, limits hosts to their principal residence, requires the licence number in every online listing, and warns that without provincial registration platforms may remove listings and cancel bookings. At European level, Regulation (EU) 2024/1028 is titled as covering data collection and sharing relating to short-term accommodation rental services, and EUR-Lex's record for it is dated 11 April 2024 with 20 May 2026 listed as a first date of entry into force. The record excerpt does not set out the operative rules, so read the text itself for what platforms and hosts must do.

Reasoning: Cities want housing back and want to know who is operating. Once licence numbers are displayed, enforcement is cheap. That pushes some supply out and some into licensed formats. Microhotels and serviced apartments look like likely beneficiaries.

What would change this view: Courts or governments rolling back caps in several major cities at once.

2. Longer lives reshape who a venue is for

Prediction: Venues that welcome older guests, with seating, light, step-free access and daytime hours, gain a growing and loyal share of trade. Confidence: high.

Evidence: The United Nations says one in six people in the world will be over 65 by 2050, up from one in 11 in 2019, that the over-65 population is projected to reach 2.2 billion in the late 2070s, passing the number of children under 18, and that 265 million people will be 80 or older by the mid-2030s.

Reasoning: Demography is the most predictable force in this list. Daytime and early-evening trade is also easier to fill, so these guests suit venues with quiet hours. A good neighbourhood third place can serve them well.

What would change this view: Little, because the age structure is largely set. The uncertainty is how quickly operators respond.

3. Accessible booking becomes the baseline

Prediction: Accessible websites, apps and check-in kiosks become an ordinary expectation, even outside the European Union. Confidence: medium.

Evidence: The European Commission's page on the European Accessibility Act lists e-commerce, ticketing, check-in kiosks, banking and passenger transport among the covered products and services. Wikipedia's summary says from 28 June 2025 newly marketed covered products and services must be accessible, and that microenterprises (fewer than 10 persons, turnover up to 2 million euros) are exempt from the service requirements. That summary is a secondary source, so confirm the dates and the exemption in the Directive itself.

Reasoning: Many small venues are exempt. But the booking engines and kiosks they use are made by suppliers who sell in several countries, and it is cheaper to build one accessible product than two. That is inference. Check your own website first.

What would change this view: Suppliers shipping separate, less accessible versions for markets without such rules.

4. The border becomes a data step you plan around

Prediction: Hotels and venues near gateways will treat the arrival process as part of the guest journey, with more pre-arrival communication. Confidence: medium.

Evidence: The European Commission says the Entry/Exit System became fully operational on 10 April 2026, digitally logging entries and exits of non-EU nationals on short stays, replacing passport stamps and recording facial images, fingerprints and travel document data.

Reasoning: The source does not say whether the system speeds up or slows down queues. The narrower point is that the first hour of a trip now includes a registration step that the guest may not understand. A hotel that explains it before arrival, and plans for late check-ins, looks calm.

What would change this view: Evidence that the system is invisible to most travellers within a year or two.

5. Competition for experienced people stays fierce

Prediction: Over the next decade hospitality keeps adding jobs faster than most sectors, and operators who train and keep their people outperform those who only market harder. Confidence: medium.

Evidence: The World Travel & Tourism Council's latest economic impact estimate says travel and tourism supported 366 million jobs worldwide, about one in nine, and accounted for roughly one in three new jobs created globally. It puts the sector's contribution at US$11.6 trillion, or 9.8 percent of the global economy, with growth of 4.1 percent against 2.8 percent for the wider economy.

Reasoning: The data shows demand for workers is large and growing. It does not show that supply is short. The supply side is inference, resting on the ageing populations in prediction 2 and on the sector's habit of hiring from the same pool. If that holds, marketing can fill a room once but cannot staff it every day, and the advantage moves to training, rosters people can live with, and clear paths up. See restaurant staff retention for a starting point.

What would change this view: Evidence of slack labour supply in your market, a sharp and lasting fall in travel demand, or automation that removes whole job families faster than expected.

6. No-alcohol drinks move from side menu to core menu

Prediction: Within a decade, a serious non-alcoholic list gets design attention close to the wine list. Confidence: medium.

Evidence: Gallup's July 2026 poll found that 54 percent of US adults say they drink alcohol, a record low that held for a second year. The figure was 67 percent in 2022, 62 percent in 2023 and 58 percent in 2024. In 2026, 51 percent said moderate drinking is bad for health, against 28 percent in 2018.

Reasoning: This is one country, so the pattern may not hold in your market. But if guests who do not drink are a growing share of any table, a weak non-alcoholic list loses the whole table's spend. Our non-alcoholic menu guide covers how to build one.

What would change this view: A rebound in the Gallup series, or evidence that other large markets are moving the other way.

7. AI wins the back office before the front of house

Prediction: The first durable gains from AI come from forecasting, rostering, purchasing and handling routine enquiries, while the guest-facing moments stay human by choice. Confidence: medium.

Evidence: The Stanford AI Index 2025 reports that 78 percent of respondents said their organisations used AI in at least one business function in 2024, up from 55 percent in 2023, and 71 percent reported generative AI use, up from 33 percent. It cites studies showing productivity gains of roughly 10 to 45 percent, with larger gains for lower-skilled workers in most cases. The page carries an October 2025 correction note about one study, so treat the range with caution.

Reasoning: None of these figures is specific to hospitality. The inference is that back-office tasks are repetitive and have clear measures, which is where software tends to prove itself first. See AI in hospitality.

What would change this view: Hospitality-specific data showing guest-facing automation raising satisfaction and repeat visits.

8. Heat redraws the calendar and the building

Prediction: Summer heat changes opening hours, menus, kitchen ventilation and outdoor seating, and shifts demand toward the shoulder seasons. Confidence: medium.

Evidence: Copernicus reports that 2024 was the first calendar year to exceed 1.5°C above the pre-industrial level in its ERA5 dataset, at 1.60°C, and the warmest year in all monitored datasets. The consolidated WMO estimate was 1.55°C.

Reasoning: One year is not a trend, and the 1.5°C threshold used in climate policy refers to long-term averages. But heat is a workplace issue for hot kitchens and a comfort issue for guests. Design for it, starting with kitchen layout and extraction.

What would change this view: A run of cooler years, which would be a surprise.

9. Pressure to measure food waste keeps growing

Prediction: Operators face more requests from landlords, buyers and regulators to show how much food they waste, and kitchens that already weigh it find the request easy. Confidence: low.

Evidence: The UN Environment Programme's 2021 Food Waste Index Report says estimates suggest 8 to 10 percent of global greenhouse gas emissions are associated with food that is produced but not consumed, and notes a UN target of halving per capita food waste at retail and consumer levels. UNEP has since published a 2024 edition with updated estimates, so check the latest figures before quoting any number.

Reasoning: The evidence shows why pressure is building. It does not show what kitchens currently do, or that disclosure requests are rising, so the prediction stays at low confidence. The practical case does not depend on it: waste is cost of goods you paid for and did not sell. Start with reducing restaurant food waste.

What would change this view: Evidence that measurement does not change behaviour in food service, or that requests for waste data stay rare.

10. Thin visitor growth makes local and repeat guests matter more

Prediction: If international visitor growth stays modest, a larger share of venue revenue has to come from repeat and local guests rather than new arrivals. Confidence: low.

Evidence: UN Tourism reported that international tourist arrivals grew 0.4 percent in the first half of 2026, and its summary names the conflict in the Middle East, high oil prices and broader inflation among the risks that tested the sector.

Reasoning: One half-year does not make a decade, and it sits oddly beside the WTTC growth figures in prediction 5, which measure a different thing. The inference is narrow: in a year of flat arrivals, a venue's growth has to come from the guests it already has. That is a reason to treat the guest list as an asset. Capturing contact details at the table is the cheapest way to start.

What would change this view: A return to strong, broad visitor growth across several years.

What do these ten have in common?

Most of them are about trust and information, not technology. Licence numbers, border registers, waste figures and accessibility standards all make hidden things visible. The venues that do well will be comfortable being seen.

Visibility is arriving by regulation, so build a venue that holds up when it is seen.

A second pattern is that the strongest predictions rest on rules and demography, and the weakest on a single data point or a single country. That is a useful habit of mind for your own planning: bet more on what is already scheduled, and less on what is merely fashionable.

A third is that none of these asks you to buy anything new. Most ask you to look at something you already have, such as your roster, your bins, your drinks list or your booking page, and to see it as a guest, an inspector or a new hire would.

What was left out?

Predictions that cannot be tied to a published source were left out. Robot servers, drone delivery, virtual reality tours and fully automated kitchens are common in lists like this one. They may happen, but no verifiable evidence shows they will change how most venues operate within ten years, and anything more would be guessing.

Predictions about taste were left out too: which cuisine, flavour or décor style will be fashionable. Taste moves quickly and is hard to bet on. If you are choosing a concept, the better question is which of the constraints above your concept is built to meet. A concept built around a real constraint, such as small footprints, shorter menus or quieter hours, tends to age better than one built around a look.

What should you do this quarter?

Choose two predictions and test them cheaply. Do not plan around all ten.

1. Pick the two closest to your business. A restaurant might choose 6 and 9. A small hotel might choose 3 and 4.
2. Measure first. Weigh waste for four weeks, or ask guests one question about drinks.
3. Set a review date. Look again in six months and write down what changed.
4. Keep the bet small. Spend what you can afford to lose on a trial, not a rebuild.

Before committing to any plan built on a forecast, write down the evidence that would make you stop. A forecast that cannot be contradicted is a hope.

Key takeaways

• The next decade is shaped by constraints: people, rules, borders, health, ageing, waste and heat.
• The strongest predictions rest on regulation and demography. The weakest rest on a single data point or one country.
• Skilled people are likely to stay scarce, so training and retention matter more than marketing.
• Short-term lets, borders and accessibility are moving into formal rules.
• Most AI evidence here is not hospitality-specific, so test it in your own operation.
• Pick two predictions, measure, and set a review date.