A great deal is said about artificial intelligence in Mallorca, and very little about what actually happens inside businesses. In this article we describe what we see from the ground, working with hotels, clinics, restaurants, marine companies and professional firms in Palma and across the rest of the island: what they use, what they do not use, where they get stuck and what is working. No invented figures and no trade-fair enthusiasm.
The talk runs ahead of the practice, especially in hotels
The hotel sector talks about artificial intelligence more than any other in Mallorca. There are keynotes, panel discussions and strategic plans. When you go down to the reception desk of a forty-room hotel in Cala Millor, the reality is more modest: a channel manager, a PMS that has been installed for years, a WhatsApp Business on the head receptionist's phone, and a team that in high season does not even have time to read its emails.
The large groups have pilot projects. Family hotels and holiday apartments, which make up most of the island's stock, use AI occasionally: drafting a reply to a review, translating a message, preparing text for the website. It is useful, but a long way from the "smart hotel" of the presentations.
What we do notice is a change in the question. Two years ago it was "what is this". Now it is "which specific task can I get off my plate".
The main brake: a shortage of talent, not of money
When a Mallorcan business owner rules out AI, it is almost never because of the cost of the tools. The barrier is that there is nobody in the business who knows where to start, who has time to learn it and who can maintain it when the person who set it up leaves.
This is made worse by three traits particular to the island's economy:
- Seasonality. A significant part of the workforce arrives in April and leaves in October. Training someone in new tools when they will not be there in November holds little appeal.
- Family businesses. The decision is taken by whoever has run the business for twenty years, and they are rightly wary of what they do not understand. They want to see a task solved, not a demo.
- A tight labour market. Hiring technical profiles in Mallorca competes with salaries elsewhere and with the cost of housing. Businesses of 3 to 50 people can rarely afford a dedicated profile.
That is why the model that is working on the island is for someone from outside to build it, maintain it and train the team in the minimum needed to use it, rather than trying to hire an in-house profile.
The institutions are providing training, and that helps
There is a real institutional movement. CAEB and the Cambra de Comerç de Mallorca schedule courses and events on artificial intelligence aimed at small businesses. The banks have moved too: some offer ChatGPT Business at no cost to their small business customers, which has put a serious tool in the hands of many businesses that would never have paid for it.
This has a clear effect: it lowers the barrier to first use. The manager of a restaurant in Santa Catalina has already tried asking ChatGPT to write the menu in German. That basic learning is the starting point for talking about real automation.
What training does not solve is the next step: connecting AI to the business's systems so that it works on its own. That requires building and maintenance, and that is where we and other specialists come in.
What they really use: documents, messages and reports
If we take stock of what the island's businesses have running in 2026, the pattern is constant. Most of the real use is small, specific and unglamorous:
- Documents. Drafting and translating texts: seasonal rental contracts, charter conditions, informed consent forms in clinics, property descriptions. Reading incoming documents (a licence, a delivery note, a booking in PDF) and extracting the data into a spreadsheet.
- Customer messages. Answering frequently asked questions on WhatsApp or by email (opening hours, availability, how to get there, what is included), in the customer's language. Preparing draft replies to reviews and complaints for a person to check.
- Reporting. Gathering each morning what happened yesterday (bookings, cancellations, appointments, open quotes, takings) and sending it to management in a short message, without opening five programs.
The ambitious cases (an agent that handles all guest communication autonomously, an in-house dynamic pricing system) exist, but they are a minority and tend to be in businesses that already had years of well-organised data behind them.
Where projects get stuck
We see the same stumbles again and again, and they are worth naming so they can be avoided:
- Starting with the big picture. Wanting to "put AI across the whole business" instead of solving one task that hurts. The former gets abandoned; the latter gets extended.
- Changing software too early. Migrating the PMS or the CRM "to be ready". We build on the tools that already exist; a change of system, if needed, comes later and for a reason.
- Nobody in charge. An AI project needs a person in the business who approves, corrects and decides. If nobody has that role, the agent sits waiting.
- Data out of control. Uploading customer lists to free tools without knowing where they end up. In Europe this has legal consequences; data must stay in the EU and be covered by a data processor contract.
- No maintenance. An automation set up in March that nobody watches in August. Systems change and someone has to stay on top of them.
What we recommend to a business on the island in 2026
Given the above, the route we see working is short:
- Use AI chat tools (free or paid) for what they are good at: drafting, translating, summarising. Train the team in that, with what CAEB, the Cambra or your own bank offer.
- Identify one or two repetitive, digital, high-volume tasks that consume hours today: messages, incoming documents, follow-ups, reports.
- Automate those tasks with a specialist, on your current software, with human approval at the start and with someone to maintain it.
- Measure the time freed up and decide on the next task with that data, not with a presentation.
It is an unspectacular route, and it is the one delivering results in Palma and across the rest of the island.
Frequently asked questions
Are Mallorca's small businesses behind on artificial intelligence?
In chat tools, no: access is the same as in any European city. In automation connected to systems, yes, they are behind medium-sized businesses on the mainland, mainly because of the shortage of technical profiles and because of seasonality. The gap closes by working with external providers who build and maintain.
Is there public funding or training for AI in the Balearics?
Yes. CAEB and the Cambra de Comerç schedule training aimed at small businesses, and there are public digitalisation programmes that in some cases cover part of the cost of projects. They change every year, so it is worth checking the current call before planning.
Where should my business start?
With the task that consumes the most hours and is already always done the same way. In most businesses on the island that is replying to customer messages or preparing a report for management. A two-hour assessment is usually enough to identify it and put a cost on it.
If you want to know where your business stands and which specific task is worth automating first, we start with an assessment of your current processes and tools. Request an assessment
We implement it for you
We work at the leading edge of artificial intelligence and agents: we build on the most advanced agent platforms of the moment and we do it at your business, in Mallorca, with published prices and a person from your team approving anything that goes out. We start with an initial assessment and a written plan.