Colt Technology Services has warned that Europe’s goal to become a global AI powerhouse will depend on how effectively it tackles some of the biggest challenges facing the AI ecosystem.
According to James Flitton, VP Infrastructure at Colt Technology Service, Europe already has the foundations needed to compete in the global AI economy, however, warned that action is needed to ensure the region can translate its strengths into long-term AI leadership.
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According to Flitton, Europe is to establish itself as a global AI leader, five key priorities must be addressed which include:
Invest in talent and skills
Building AI capability starts with people. Expanding AI and digital skills in schools is important, but the bigger challenge is up-skilling the existing workforce. Without a stronger talent pipeline, Europe risks slowing AI adoption and innovation.
Invest in AI-ready infrastructure
AI readiness is about more than network capacity. Success will depend on a highly connected ecosystem of edge, regional and hyperscale data centres, supported by resilient, high-capacity networks that can move data and workloads efficiently across Europe and beyond.
Reduce energy costs and accelerate sustainable power
The race for AI leadership is increasingly a race for affordable energy. As AI workloads become more compute-intensive, access to reliable, low-cost and sustainable power will be a key factor in attracting AI investment and scaling infrastructure.
Strengthen Europe’s technological sovereignty
Europe needs to build stronger capabilities across the AI value chain, from chips and compute to data centres, cloud platforms and applications. A more integrated European AI ecosystem will help businesses scale faster, innovate more effectively and reduce dependence on external providers.
Reduce regulatory complexity whilst securing access to high-volume, high-quality data sets
To unlock innovation and strengthen competitiveness, Europe must simplify data access and sharing rules while expanding access to high quality data sets, as outlined in the EU’s paper ‘Unlocking Data for AI’.
As Generative AI, LLMs and Agentic AI become increasingly important, access to high quality and high-volume data sets is essential for AI development, adoption and Europe’s global competitiveness.
“Europe already has the talent, research capability, industrial strength and regulatory framework to compete in the global AI economy,” Flitton tells Mobile Europe.
“The challenge now is execution. By investing in skills, infrastructure, affordable energy and technological sovereignty, Europe can move from being a consumer of AI innovation to becoming one of its leading creators and beneficiaries.”
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