Key Takeaways
- The digital economy now accounts for 27 % of Spain’s GDP, up eight points since 2019, and the EU data market could contribute ≈5 % of European GDP by 2030.
- Europe remains a top exporter of goods and services but still depends heavily on non‑European AI technologies, highlighting the need for sovereign digital infrastructures.
- Telefónica, alongside SAP and Siemens, can act as a European tech champion by delivering technological sovereignty, open architectures, and resilient‑secure networks.
- AI is reshaping customer experience by moving firms from reactive to predictive and explanatory models, emphasizing better decision‑making over mere speed.
- Unstrategic AI adoption—especially indiscriminate use of generative models—risks costly, unprofitable projects; success requires governance, talent, and a culture of innovation.
- True competitive advantage comes from combining specialised talent, innovative culture, advanced data exploitation, technology governance, and explainable, trustworthy AI.
- Telefónica’s value proposition links AI, advanced analytics, connectivity, cloud, and data spaces to help businesses turn data into growth, innovation, and a sustainable edge.
The Growing Weight of the Digital Economy in Spain and Europe
According to the latest study by Adigital, “27 % of Spain’s GDP is already generated by the digital economy, an increase of 8 percentage points since 2019.” This surge reflects a broader continental trend: the European Commission estimates that the data market and its exploitation could have a direct impact equivalent to 5 % of European GDP by 2030. Europe continues to lead open economies in the export of goods and services, outpacing both China and the United States, while benefiting from a regulatory and social‑protection framework typical of the world’s most advanced societies. These factors create a fertile ground for accelerating digitalisation and innovation, yet structural hurdles remain.
Structural Challenges Hindering Europe’s Digital Ambitions
Despite the promising statistics, Europe faces a still‑incomplete Digital Single Market, internal barriers to scalability, and a significant dependence on critical technologies—particularly AI—largely controlled by non‑European corporations. This reliance threatens technological sovereignty and could limit the continent’s ability to shape AI development on its own terms. To compete in the AI era, Europe must build sovereign digital infrastructures that reduce external dependencies while preserving the openness that has driven its trade success.
Telefónica’s Role as a European Tech Champion
In this landscape, major European tech champions such as Telefónica, SAP, and Siemens are called upon to accelerate innovation and ensure medium‑ and long‑term competitiveness. Telefónica argues that these players must deliver robust technological infrastructures built on three pillars:
- Technological sovereignty – bringing computing closer through Edge nodes and enabling distributed learning and inference.
- Open architectures – promoting non‑proprietary standards, fostering interoperability, and creating data spaces.
- Resilience and security – guaranteeing the availability of advanced networks (5G, fibre, NTN) and protecting inference environments against cyberattacks.
As the article notes, “AI will not be competitive without advanced connectivity, distributed computing and secure data processing capabilities.”
AI‑Driven Transformation of Customer Experience
Beyond infrastructure, AI is already reshaping how firms interact with customers. The shift is from reactive models towards predictive and explanatory models, where the true value lies not merely in task automation but in better understanding service profitability, optimising business decisions, and building advanced data‑driven business intelligence. Telefónica’s business development and marketing teams are learning to break down silos between product, sales and business, explore collaborative use cases, and construct dashboards and OKRs focused on real impact. The emphasis is clear: “The aim is not to work faster, but to make better decisions. That is the true purpose of AI.”
The Perils of AI Without a Coherent Strategy
A major risk today is the superficial or haphazard adoption of artificial intelligence. While the net employment effect of generative AI remains uncertain, the article warns that implementation without governance or discernment can lead to significant profitability issues. Indiscriminate consumption of generative models and tokens often inflates costs without delivering efficiency or business intelligence. Many firms are already confronting “hefty bills resulting from projects driven by technological trends rather than a clear strategy.” The solution lies not in replacing tech talent but in cultivating critical, curious talent capable of using AI as a tool for distinctive innovation—recognising that AI is about building business capabilities underpinned by data, judgement and explainable models, not simply obeying chatbots.
Talent, Culture, and Innovation as the Real Competitive Edge
Organisations that cut jobs solely because of AI risk undermining their own competitive capacity. Genuine transformation requires integrating human talent with artificial intelligence to accelerate capabilities, foster innovation, and develop new business models. The article identifies the ingredients of value‑creating organisations:
- Specialised talent
- A culture of innovation
- Advanced data exploitation
- Technology governance
- Explainable and trustworthy AI
Only by combining these elements can firms navigate the early stages of this transition and turn AI into a sustainable advantage.
Vast Business Opportunities Awaiting Strategic AI Adoption
From an external viewpoint, Telefónica sees a responsibility to support companies in their AI‑driven transformation and innovation processes. The firm observes diverse sectors embedding AI models into operations, products, and services, and it leverages its multi‑sector experience to drive this change. “AI and data now represent a new competitive frontier for Spanish companies,” but the transformation must be approached with strategy, methodology, and a long‑term vision. The opportunities are enormous; success will depend on the ability to iterate, experiment, and identify use cases capable of generating real business impact, acknowledging that “we are only just getting started.”
Telefónica’s Value Proposition: Turning Data into Growth
Telefónica’s offering combines AI, advanced analytics, connectivity, cloud, and data spaces to help businesses accelerate their digital transformation. The firm emphasizes a European perspective on responsible AI, pairing leading technological infrastructure with multi‑sector innovation capabilities. By delivering sovereign infrastructure, advanced connectivity, edge computing, and responsible artificial intelligence, Telefónica aims to turn data into growth, innovation, and a real competitive advantage for its enterprise clients. This holistic approach seeks to build more competitive, secure, and sustainable business models across the continent.
In sum, the digital economy’s expanding share of national and European GDP underscores both the promise and the urgency of building sovereign, secure, and open AI‑enabled infrastructures. Companies that pair strategic AI adoption with skilled talent, innovative culture, and robust governance will be best positioned to reap the transformative benefits outlined above.
AI as a driver of business innovation: Europe’s challenge to lead the data economy