Neither the tail nor the head. Spain is making progress in the adoption of artificial intelligence (AI)but it does so at an uneven pace that threatens to widen the gap with respect to the most advanced European economies. The latest comparative data, prepared by Eurostat, place the country in an intermediate position within the European Union: far from the laggards, but still without reaching the core of countries that lead the digital transformation of the productive fabric.
The European map of AI adoption reflects clear fragmentation. Economies such as the Nordic or Benelux economies (Belgium, the Netherlands and Luxembourg) lead the business use of these technologies, with percentages significantly higher than the community average. At the other extreme, several countries in the south and east show still incipient levels. Spain remains at an intermediate point which, although it shows progress, also reveals structural limitations.
The main differential factor is the business size. While large Spanish companies have intensified the integration of AI solutions – from process automation to predictive analysis or customer service –, The bulk of the productive fabric, made up of small and medium-sized companies, advances more slowly. This internal gap conditions the country’s aggregate potential.
The phenomenon is not exclusive to Spain, but here it acquires special relevance, since More than 90% of the business fabric is made up of SMEs. Difficulty accessing financing, lack of specialized talent and uncertainty about return on investment continue to be key barriers to technology adoption.
In parallel, the media boom of artificial intelligence – especially after the emergence of generative tools – contrasts with a real implementation that is still limited in many sectors. Sources from the technology sector point out that There is a clear difference between experimenting with AI and transforming with AI. In many cases, companies are in initial testing phases, without deep integration into their business models.
Productivity engine
The economic implications are relevant. AI is emerging as one of the main drivers of productivity in the next decadewith direct impact on competitiveness, operating costs and innovation capacity. Experts agree that countries that achieve faster and more widespread adoption could obtain sustained advantages in growth and investment attraction.
In this context, Spain’s position presents an ambivalent scenario. On the one hand, the country has relatively developed digital infrastructures and large companies capable of leading technological projects. On the other hand, the slowness in the digitalization of SMEs could act as a structural brake.
The challenge, therefore, is not only technological, but also strategic. Accelerating the adoption of AI in small businesses – through incentives, training and access to affordable solutions – will be key to avoiding a growing gap within Europe. Otherwise, Spain runs the risk of consolidating itself in a digital “middle zone”far from the innovation poles that will set the economic pace in the coming years.
The race for artificial intelligence has only just begun, but it is already drawing a map of winners and laggards. In a year that will be decisive for our companies, Spain still has time to climb positions, although the margin to do so is narrowing as other countries consolidate their advantage.
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