How European companies are advancing in AI adoption: a study on strategy, innovation, and challenges
Artificial intelligence (AI) is no longer just a productivity tool for European businesses; it is becoming a key asset for strategy, decision-making, and innovation. Our latest study on how AI is shaping European businesses sheds light on how companies are navigating AI adoption, its evolving role across various sectors, and the obstacles they face. Through expert insights and key statistics, the report explores how organizations are advancing their AI maturity and preparing for the future. For more insight, download our full European AI study from the button below.
AI as a strategic asset
AI is being integrated into organizations' strategic frameworks. Two-thirds of companies have allocated specific budgets for AI initiatives, with larger organizations leading the way in resource allocation. However, small and medium-sized businesses (SMBs) are catching up, planning to invest in AI over the next three years, despite a lack of dedicated budgets for most.
Fellowmind experts agree that AI’s potential lies not just in efficiency but in transforming business processes and driving innovation. Pernille Bernth, AI expert at Fellowmind, emphasizes, "It's not just about using AI tools—it’s about embracing AI’s potential and seamlessly integrating it into every aspect of work, without being held back by current limitations or fear of the unknown."
Leadership and decision making in AI
The study reveals a gap in AI leadership, with only 25% of AI leaders at the C-level. Many AI teams operate within IT departments, especially in larger companies. Fellowmind experts recommend that organizations adopt a top-down approach, placing AI leadership at the C-suite level to ensure AI becomes a central focus of the company's strategic vision. Marcus Sommer, AI expert at Fellowmind, asserts, "Companies should adopt a top-down approach by positioning AI leadership at the C-level. This strategy ensures AI becomes a central focus, driving the organization toward market leadership."
Barriers to AI adoption: data security, training, and strategic support
AI adoption faces several challenges, especially concerning human factors such as a lack of knowledge and resistance to change. Data security concerns and regulatory complexities further hinder progress. Many organizations also need more training to understand AI’s full potential. Max Roeters, AI expert at Fellowmind, states, "AI solutions should align with an organization's maturity level, ensuring tailored support that builds trust, enhances understanding, and provides strategic guidance to foster AI adoption."
For organizations in early stages, Fellowmind experts recommend focusing on small, impactful AI use cases and building on early successes to scale adoption effectively. This approach helps mitigate risks and builds trust in AI’s capabilities.
AI maturity: discrepancies across sectors and functions
AI adoption is growing across industries, though its use varies significantly. IT departments are leading the charge, adopting advanced AI technologies like machine learning, predictive analysis, and automation. However, other sectors, such as manufacturing and public services, are lagging in AI implementation. Small to medium-sized businesses benefit from AI in areas like marketing, while larger organizations apply AI more broadly across functions like sales, finance, and logistics.
Fellowmind expert Arvid Josefsson points out, "AI is not a magic wand, but a powerful tool that, when used correctly, can optimize business processes today—and in the future, AI agents could take this even further by running some of these processes autonomously."
Preparing for the future: embracing AI agents
The next frontier of AI is the rise of AI agents—autonomous systems that can perform complex business tasks. Organizations must begin preparing for this shift, which requires integrating AI into their long-term strategic plans. This transition will involve not only adopting AI tools but also creating a roadmap for deeper integration and maximizing AI's potential across business functions.
Fellowmind experts stress the importance of preparing the workforce for roles that AI cannot fulfill and developing training programs that ensure adaptability in an AI-driven world.
Concluding thoughts: strategic planning is key
As AI continues to evolve, organizations must think strategically about its integration. AI agents will transform business operations, making it essential for companies to adopt a forward-thinking approach. By addressing barriers to adoption, aligning AI strategies with business goals, and embracing AI agents, European companies can remain competitive in a rapidly changing market.
In summary, this study offers valuable insights for businesses looking to harness AI’s full potential. With expert guidance and clear action plans, organizations can move beyond basic adoption to drive innovation, foster growth, and thrive in the AI-driven future.
