Ivo Bernardo on AI’s future: open, efficient, and decentralised

March 3, 2025
1 min read
Ivo Bernardo analysed how AI models like DeepSeek are lowering barriers to entry, allowing businesses worldwide to build their own AI solutions and compete at scale.

The AI landscape is shifting - and fast. In a recent SAPOTEK article, Ivo Bernardo, co-founder of DareData, explored how China’s DeepSeek is challenging the status quo, proving that high-performing AI models don’t need to come with sky-high costs.

The rise of semi-open-source AI is breaking the Silicon Valley monopoly, allowing companies, universities, and startups worldwide to develop their own AI solutions—provided they move fast enough to seize the opportunity. For European businesses, the stakes are high. While the U.S. and China accelerate AI adoption, Europe risks being left behind due to a lack of investment and scalable innovation.

Key insights from the article include:

Lowering AI’s barriers to entry - DeepSeek shows that advanced AI models can be built efficiently, reducing reliance on expensive, closed-source solutions.

AI for business transformation - companies now have access to models capable of autonomous data analysis, intelligent reporting, and strategic decision-making.

Sustainable AI development - smarter training processes enable AI to consume fewer resources, addressing growing concerns about the environmental footprint of large-scale AI models.

Europe’s AI challenge - without a strong AI ecosystem, Europe risks becoming just a consumer, rather than a creator of AI-driven innovation.

At DareData, we believe the future of AI is decentralised, efficient, and open. Companies that act now will gain a critical competitive edge, leveraging AI solutions tailored to their specific needs rather than relying on generic models.

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