Build, Buy, or Control: Europe's AI Strategy Goes Beyond the Innovation Debate

Munich - May 12, 2026

The European debate on artificial intelligence is increasingly shifting away from individual applications toward a fundamental strategic question: Who controls the systems on which artificial intelligence is based. A recent analysis by Dr. Raphael Nagel (LL.M.), Founding Partner at Tactical Management, examines how Europe's position in the field of artificial intelligence increasingly depends on whether critical AI infrastructure is built, purchased, or controlled.

The analysis argues that AI sovereignty is no longer defined solely by software development or model ownership. Infrastructure, computing capacity, cloud systems, semiconductors, energy supply, and operational control over the entire AI stack are becoming decisive factors.

As reported by the Financial Times, Europe is intensifying its efforts to reduce dependence on external cloud providers and strengthen technological sovereignty through infrastructure investments and industrial coordination. At the same time, concerns are growing within European industrial circles that heavy reliance on foreign AI ecosystems could weaken Europe's strategic autonomy in the long term.

According to the analysis, the central strategic question is no longer whether Europe will use artificial intelligence, but under what dependency structure this use will take place. While purchasing external systems can enable speed and scaling, it simultaneously creates operational dependencies on foreign infrastructure, providers, and standards. Building in-house capabilities, on the other hand, requires significant investment, long-term planning, and industrial coordination.

The report argues that many current discussions confuse access with sovereignty. Access to AI systems does not automatically mean control over these systems. Strategic influence increasingly depends on who owns computing infrastructure, controls data flows, operates infrastructure, and can maintain systems independently even under geopolitical pressure.

Particular attention is paid to the concentration of cloud and compute infrastructure. Advanced AI infrastructure remains in the hands of a few global hyperscalers and semiconductor providers. This creates structural imbalances in pricing, infrastructure access, and technological dependence.

The analysis also examines the economic implications of this concentration. AI systems are increasingly being integrated into finance, healthcare, industrial production, logistics, defense, and public administration. As dependence on external infrastructure grows, technological dependence is evolving into a strategic risk rather than merely a commercial decision.

The report also highlights that Europe's challenge extends beyond technology. Fragmented capital markets, regulatory complexity, slower scaling dynamics, and limited computing capacities weaken Europe's position relative to the U.S. and China. At the same time, Europe continues to possess significant strengths in industrial manufacturing, engineering, applied industrial AI, research institutions, and energy infrastructure.

Another key point concerns the distinction between buying and controlling. According to the analysis, hybrid models could emerge in which Europe cooperates globally while simultaneously seeking greater control over critical infrastructure layers. In this context, sovereignty does not mean isolation, but rather the ability to maintain operational flexibility and strategic autonomy.

The report also emphasizes that infrastructure investments are increasingly inextricably linked to AI strategies. Data centers, energy systems, semiconductor supply chains, cloud architectures, and network infrastructure will determine long-term competitiveness in the field of artificial intelligence.

According to the analysis, the "build versus buy" debate ultimately reflects a broader geopolitical shift. AI systems are evolving into an integral part of national economic and security infrastructure. As a result, decisions regarding technology simultaneously influence sovereignty, industrial resilience, and geopolitical positioning.

This perspective aligns with Tactical Management's strategic approach, in which infrastructure, capital allocation, technological sovereignty, and geopolitical resilience are viewed as interconnected strategic systems.

For policymakers, investors, and technology leaders, the key conclusion is clear: Europe's long-term position in the field of artificial intelligence will not depend solely on innovation, but on who controls the systems that enable innovation in the first place.

The full analysis by Dr. Raphael Nagel (LL.M.) can be found at:
https://www.raphaelnagel.com/build-buy-control-enterprise-ai

Tactical Management Germany GmbH
Karslplatz 3
80335 Muenchen
Germany

https://tacticalmanagement.ch/

Dr. Raphael Nagel (LL.M.)

nagel@tacticalmanagement.ch

Tactical Management Germany GmbH is an investment partner focused on companies facing complex situations or undergoing transformation. The firm does not limit itself to providing capital but actively participates in corporate management to stabilize, restructure, and strengthen the business.

Its approach combines operational experience with decisive execution, enabling the repositioning of companies and the creation of long-term, sustainable value, particularly in succession planning, spin-offs, or strategic realignments.

This release was published on openPR.