Artificial Intelligence (AI) Over the past two years, IT has undergone an unprecedented transformation in Spain, and globally. From being a technology reserved for highly specialized teams, it has become integrated across the board in most organizations. Its impact is no longer limited to large technology companies; it is now present in internal processes, user experiences, complex automation, and new business models.
According to Alexis Segarra, CTO of Quantion, “Previously, an AI project posed a significant technical challenge and always involved a high degree of research and uncertainty. Today, the way AI solutions are built has changed, and AI Engineer profiles are just as important in teams as those responsible for architecture and software development.”
This shift has fostered a profound cultural change, with almost 20% of Spanish companies now using AI systems, according to the latest report from the Bank of Spain. Both technical and non-technical teams are now working with artificial intelligence tools on a daily basis, which has driven widespread adoption.
Key trends for 2026
The year 2026 will mark a turning point towards the technological maturity of artificial intelligence. As such, companies will focus their efforts on developing it. robust, scalable and reliable productsApplying quality standards typical of traditional software, exhaustive testing, systematic validation, and advanced control mechanisms will be the norm to guarantee results. consistent, measurable and sustainableAI will cease to be an experimental element and will become an essential infrastructure of business operations.
In parallel, hyper-personalization and advanced automation These will be central to the evolution of technology. Digital experiences will dynamically adapt to each user's behavior and context, offering tailored responses and services in real time. At the same time, automation will continue to gain prominence, optimizing critical tasks and freeing up human resources for higher value-added functions.
Meanwhile, sectors such as education, industry, health, and transportation are already applying AI to personalize experiences, analyze operational data in real time, and improve their overall efficiency. As Segarra points out, “There will not be a single leading sector, but rather organizations more or less prepared to take advantage of their potential.".
AI in 2026 will be transversal, strategic and profoundly transformativeIts success will depend on the technological and organizational maturity of the companies, their ability to plan strategically, and having a skilled workforce.
“The value of AI is tangible and massive. Companies that don't ride this wave will lose competitiveness and decision-making power compared to those that integrate it intelligently and strategically,” explains the CTO.
Towards 2028 with three major changes
Looking ahead to 2028, artificial intelligence will undergo three major transformations: one real democratization with smaller models adapted to local contexts, a creative maturity which will allow the automation of text, image and video generation, and its consolidation as personal and professional partner, with intelligent agents integrated into decision-making and daily management.
