Ivo Bernardo on AI adoption challenges in Europe

As AI continues to reshape industries, Europe risks falling behind in the global race for innovation. In a recent ECO feature, Ivo Bernardo, co-founder of DareData, shared his perspective on the challenges of AI adoption in Europe, the impact of over-regulation, and how the rapid rise of Chinese AI models is intensifying competitive pressure.
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The emergence of DeepSeek, a Chinese AI company offering cost-effective models rivaling OpenAI, has sparked concerns about Europe’s ability to compete in AI development and deployment. While U.S. and Chinese firms push the boundaries of AI, European businesses remain slow to integrate AI into operations. According to recent Eurostat data, only 13.5% of European companies use AI, with Portugal lagging even further at 8.6%.
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Ivo drew parallels between AI adoption and the digital transformation journey, warning that companies that fail to embrace AI will struggle to survive. AI adoption will eventually snowball - as more businesses integrate AI, others will have no choice but to follow.
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The cost-saving potential is undeniable - some DareData clients have reduced costs by up to 80% through AI-driven efficiencies.
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Over-regulation is a major roadblock - while compliance is necessary, excessive focus on regulation is slowing AI adoption in Europe, putting businesses at a disadvantage.
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For Ivo, the real issue isn’t the lack of advanced AI models - it’s the hesitation to use them. Many companies already have access to AI that could drive significant improvements, yet adoption remains low due to uncertainty, lack of urgency, and regulatory constraints.
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At DareData, we believe that AI should be seen as a strategic enabler, not just a compliance challenge. As businesses worldwide continue to leverage AI to enhance productivity, streamline operations, and drive innovation, European companies must act now or risk falling further behind.

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