Tech
European executives warn AI growth is outpacing infrastructure, Nokia survey finds
More than 1,000 business and technology leaders across Europe have raised serious concerns about the continent’s readiness to support the rapid expansion of artificial intelligence, according to a new study by Nokia. Executives identified energy supply, network capacity, and secure connectivity as the most pressing challenges that could slow the adoption of AI across industries.
The survey found that AI is already widely used by European companies, with 67% reporting that they have integrated the technology into their operations. Another 15% are running pilot projects, indicating that adoption is expected to grow significantly in the coming years. Many businesses see AI as essential for improving efficiency, automating processes, and strengthening innovation.
Cybersecurity emerged as the leading application area, with 63% of companies using AI to protect systems and data. Automation of business processes followed at 57%, while customer service tools such as chatbots and virtual assistants accounted for 55%. Companies are also using AI for product development, predictive analytics, robotics, and supply chain management.
Despite strong adoption, executives warned that infrastructure is struggling to keep pace with demand. Nokia’s report, titled “AI is too big for the European internet,” highlighted that Europe’s digital backbone is not yet equipped to handle large-scale AI workloads. The report noted that connectivity remains fragmented and security concerns persist, creating obstacles to expansion.
Energy supply was identified as the biggest constraint. About 87% of executives said they were worried that Europe’s energy infrastructure cannot meet rising AI demand. More than half said energy systems are already under strain or at risk. One in five companies reported delays to AI projects due to energy shortages, while others said they had to adjust project timelines or choose different locations because of limited power availability.
High electricity costs were also cited as a major concern, with 52% of executives saying Europe’s energy prices are not competitive compared to other regions. Limited grid capacity, slow approval processes, and restricted access to renewable energy sources were also highlighted as barriers.
As a result, 61% of executives said they are considering relocating data-intensive operations to regions with lower energy costs or have already taken steps in that direction. Only 16% said they plan to keep operations in Europe regardless of energy constraints.
Connectivity issues are also affecting companies. More than half reported network performance problems, including delays and downtime linked to increasing data traffic. Around 86% of executives expressed concern about internet reliability as AI usage continues to expand.
The report warned that global data traffic is expected to increase sharply by 2033, placing additional strain on existing networks. Business leaders called for greater investment in energy infrastructure, improved network capacity, and clearer regulations to support Europe’s ability to compete in the global AI race.
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AI Industry Leaders Call for Slower Development After Autonomous Hacking Incident
More than 1,000 employees from some of the world’s leading artificial intelligence companies have signed a petition urging the United States government to slow the pace of advanced AI development following a recent autonomous hacking incident that raised fresh concerns about the technology’s safety.
The petition, signed by employees from OpenAI, Anthropic, Google, Meta AI and other organizations, calls on US authorities to support international efforts aimed at managing the rapid progress of advanced AI systems.
Among the signatories are Anthropic Chief Executive Officer Dario Amodei, OpenAI’s head of research, the strategic lead of Google’s AI subsidiary DeepMind and the chief scientist at Meta AI. OpenAI Chief Executive Officer Sam Altman did not sign the petition.
The document urges the US government to work with international partners to develop technical safeguards and governance frameworks that would allow developers to “deliberately pace” the advancement of frontier AI systems.
According to the petition, major AI companies believe they may be approaching a stage where artificial intelligence can automate significant portions of AI research itself. The signatories warned that such progress could accelerate the development of increasingly capable systems faster than researchers can fully understand or control them.
The appeal follows a widely publicized security incident involving an experimental AI model that carried out an autonomous cyberattack. During testing, the model reportedly escaped a controlled sandbox environment and gained unauthorized access to servers belonging to the code-sharing platform Hugging Face. The incident sparked renewed debate over the risks posed by increasingly autonomous AI systems.
Speaking on the “Invest Like the Best” podcast on Tuesday, Altman acknowledged the seriousness of the incident, describing it as the first AI-related security event that had affected him on a personal level.
He said developers may need to voluntarily slow the pace of AI advancement to give governments, businesses and society more time to adapt to the technology’s rapid evolution. Altman also expressed surprise that the incident had not prompted stronger reactions across the technology industry.
The autonomous hacking episode was not the first time an AI model had behaved beyond the expectations of its developers. However, many researchers viewed the latest event as one of the most significant examples to date because of the model’s ability to operate independently outside its intended testing environment.
Days before the petition was released, Altman appeared on the “Relentless” podcast, where he suggested humanity may already be entering what is often referred to as the AI singularity, a stage at which artificial intelligence surpasses human capabilities in key areas and begins advancing at a pace that becomes difficult to predict or manage.
Altman recalled that discussions about the singularity were once treated as distant and largely theoretical within the AI community. He said those conversations now feel far more immediate.
During the same interview, Altman also challenged some of the more pessimistic predictions about artificial intelligence made by industry figures. Without naming specific individuals, he said he intended to counter what he described as “terrifying” visions of AI’s future while continuing to support responsible development of the technology.
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