Introduction
Over the past three years, artificial intelligence has moved from being an emerging technology to becoming a true engine of transformation for businesses. If in 2023 the conversation was mostly about chatbots and conversational assistants, by 2026 the landscape has changed dramatically: today AI no longer just responds — it acts.
Autonomous systems capable of planning activities, analyzing complex data, and automating processes are redefining how companies operate. And this is true for tourism as well.
For those managing a destination, a tour operator, or a tourism platform, understanding where artificial intelligence is heading is no longer a technological curiosity — it is a strategic capability.
In this article we analyze:
The first phase of generative AI adoption was dominated by chatbots — tools capable of generating text, answering questions, or creating content.
In 2026 we have entered a new phase: the era of intelligent agents.
AI agents do not simply generate responses. They can:
In other words, they become digital collaborators.
AI is evolving toward systems capable of managing complete operational pipelines, such as:
This technological leap is one of the reasons many companies are now rethinking their internal processes.
Behind this evolution is not a single innovation but a combination of new technological paradigms.
One of the most important advancements concerns how models are trained.
Traditionally, AI models were improved through RLHF (Reinforcement Learning from Human Feedback): humans evaluated model responses and guided the learning process.
In 2026 a new approach is emerging: Reinforcement Learning with Verifiable Rewards (RLVR).
In this system:
This approach is particularly effective for tasks such as:
The result is stronger autonomous reasoning capabilities.
Another key innovation is known as inference scaling.
Instead of generating immediate answers, models can allocate more computational time to the reasoning phase before producing a response.
This allows AI systems to:
This phenomenon is often described as an “aha moment”: the system realizes it made an error and recalculates the logical path.
This deeper reasoning is significantly improving the accuracy of AI systems in complex tasks.
Another key element shaping the AI landscape is geopolitical competition.
In 2025, several analysts began referring to the “DeepSeek Moment,” highlighting the rapid rise of AI models developed in China.
Today the competition largely reflects two different development strategies.
American companies such as OpenAI, Google, and Anthropic focus on:
Several Chinese labs — including DeepSeek, Qwen, and Kimi — are instead developing open-weight models, meaning their model weights are accessible.
These systems emphasize:
According to many observers, this strategy could accelerate worldwide adoption significantly.
If in the past the main limitation was algorithm quality, today the real constraint is different: energy infrastructure.
The growth of artificial intelligence requires enormous amounts of electricity.
According to several estimates mentioned in recent research:
To give a sense of scale:
For this reason new infrastructure strategies are emerging, including:
Artificial intelligence is no longer just a software topic — it has become an industrial and geopolitical issue.
Alongside massive cloud models, an opposite trend is emerging: local AI.
Projects such as OpenClaw demonstrate that advanced AI assistants can run directly on consumer hardware, including laptops.
These systems allow companies to:
One of the most interesting aspects is evolving memory.
Local assistants can:
In the future, many companies may build custom AI ecosystems around their own data.
Artificial intelligence is also changing how software is developed.
According to several industry surveys:
AI-assisted development tools now allow users to:
This does not eliminate developers — it transforms their role.
Increasingly, their work consists of:
Compared with the global landscape, AI adoption among Italian companies is progressing more slowly than in other technological ecosystems.
There are several reasons for this:
However, things are starting to change.
Many companies are beginning to use AI for:
In tourism, AI is increasingly applied to areas such as:
The real breakthrough, however, will happen when AI becomes integrated into operational processes, not just used as a standalone tool.
Looking ahead to the next five years, the difference between companies will no longer be between those who use AI and those who do not.
The real distinction will be between:
The first group will gain significant competitive advantages:
Conclusion
The year 2026 marks the beginning of a new phase for artificial intelligence: no longer simply a technology, but a strategic infrastructure for businesses.
For tourism companies, the real challenge is no longer whether to adopt AI, but how to integrate it into operational processes.
Those who move first will be able to work more efficiently, make faster decisions, and deliver increasingly personalized experiences.
In the end, the real value of artificial intelligence is simple:
automating the predictable so there is more space for what truly matters in tourism — humanizing the exceptional.
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