Accenture: Europe Must Accelerate AI Adoption to Bridge Productivity Gap
In a newly released report, Accenture is urging European companies to fast-track AI integration or risk falling behind global competitors. The report highlights that despite strong AI research in Europe, actual enterprise-level adoption remains sluggish, fueling a productivity gap compared to the U.S. and Asia.
Image Source: Accenture
Key Findings from the Report
Lagging adoption: Only 37% of European firms report using AI at scale, versus over 60% in North America and East Asia
Stalled productivity: European productivity growth has stagnated post-COVID, with AI seen as a key driver for revival
Skills bottleneck: A severe shortage in AI talent, digital infrastructure, and change management slows down adoption
Sectoral gaps: Manufacturing and public services are trailing most in AI usage, while banking and telecom are leading
Accenture’s Recommendations
- Public-Private Alliances: Governments should partner with enterprises to fund AI R&D, particularly in strategic sectors
- SME Enablement: Targeted support for small and medium enterprises to deploy AI-as-a-service platforms
- AI Skills Development: Urgent need for upskilling and creating AI-specialized education pathways
- Ethics and Compliance Frameworks: Streamline regulatory clarity to reduce adoption hesitation
Also Read: GomSpace Wins €19.5M Contract to Build Next-Gen Satellite Network in Europe
Why It Matters
This report arrives as the EU enforces its AI Act, and global competitors aggressively invest in generative AI, autonomous systems, and data-driven operations. Without intervention, Europe risks a tech and economic lag that could impact GDP, innovation output, and digital sovereignty.
“AI is not just a technology—it’s the new productivity engine. Europe must rev it up, or risk stalling,” says Accenture’s Chief Strategy Officer.
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