A strategic warning from Europe’s industrial leadership is gaining traction as Schneider Electric CEO Peter Herweck calls for stronger AI sovereignty across the continent. Speaking to CNBC, he underscored the risks of overreliance on foreign AI platforms, signalling growing urgency for policymakers, enterprises, and investors to rethink Europe’s technological independence

Schneider Electric’s CEO emphasized that Europe must build its own AI capabilities rather than depend heavily on U.S. and Chinese technology ecosystems. The remarks come amid accelerating global investment in generative and industrial AI, where control over data, infrastructure, and compute power is becoming a strategic asset.

Herweck highlighted the role of European industry in anchoring AI development, particularly in energy management, automation, and manufacturing sectors where Schneider Electric operates at scale. The comments arrive as the European Union advances regulatory frameworks such as the AI Act, while simultaneously facing criticism for lagging in AI infrastructure, cloud platforms, and large-scale model development.

The development aligns with a broader trend across global markets where AI is increasingly viewed as a pillar of economic and geopolitical power. The United States continues to dominate foundation models and cloud infrastructure, while China is rapidly scaling state-backed AI ecosystems. Europe, by contrast, has focused heavily on regulation, ethics, and data protection.

While these guardrails have positioned the EU as a global standard-setter, critics argue they have also slowed commercial AI deployment. Recent debates around digital sovereignty spanning semiconductors, cloud computing, and energy systems reflect growing concern that Europe risks becoming strategically dependent in critical technologies.

Schneider Electric’s intervention adds an industrial voice to this debate, reinforcing calls from European leaders to pair regulation with large-scale investment, public-private partnerships, and industrial AI platforms rooted in European values and supply chains.

Industry analysts view the remarks as a signal that European multinationals are becoming more vocal about AI competitiveness. “This is not just about technology it’s about resilience and control,” said one Brussels-based digital policy expert, noting parallels with Europe’s push for energy security after recent geopolitical shocks.

Executives across manufacturing and energy sectors have echoed concerns that reliance on non-European AI stacks could expose businesses to regulatory conflicts, data sovereignty risks, and supply disruptions. While EU officials have acknowledged these challenges, they maintain that Europe’s regulatory-first approach builds long-term trust and adoption.

Market observers note that companies like Schneider Electric, Siemens, and SAP are increasingly positioned as anchors for a European industrial AI ecosystem, blending operational technology with AI-driven decision-making at scale.

For European businesses, the call for AI sovereignty could accelerate investment in regional cloud providers, industrial AI platforms, and local data infrastructure. Companies may reassess vendor strategies to reduce exposure to geopolitical and regulatory risk.

Investors could see renewed momentum in European AI automation, and semiconductor initiatives, particularly those aligned with public funding. For policymakers, the message is clear: regulation alone is insufficient. Analysts warn that without coordinated investment and faster execution, Europe risks ceding not just AI leadership but long-term industrial competitiveness in a data-driven global economy.

Looking ahead, AI sovereignty is expected to rise on the EU’s strategic agenda through 2026, alongside energy transition and industrial resilience. Decision-makers will watch for concrete funding commitments, cross-border AI projects, and partnerships between industry and governments. The challenge for Europe will be translating strong rhetoric into scalable AI infrastructure before global technology gaps widen further.

Source & Date

Source: CNBC
Date: January 20, 2026