Europe falls back to AI. Lutz finger (first on the left) compared the price of his business … [+]
What does Europe do to compete in AI? Artificial intelligence (AI) transforms industries and economies, but Europe is dangerous behind. Comparing the value of the businesses of the top 10 companies in Europe for the US, the US is an adult that has developed in 6 feet 4 inches, while Europe is just a 4 -inch action.
Europe loses ground in competitiveness, economic growth and worldwide influence. AI will not replace professionals such as lawyers, doctors or teachers – but those who use AI will overcome those who do not. The same is true for nations. The EU is in danger of simply becoming a consumer of AI and not a creator or an innovative.
AI is a tool that overwhelms people
AI is a tool that escalates productivity. In AI online courses, students no longer need to codify manually. Instead, they use AI to enhance their productivity. A recent study Erik Brynjolfsson has shown that AI can increase employee effectiveness by up to 30%. Now imagine a world where the US and China boost productivity by 30%, while Europe remains stagnant.
AI’s impact transcends productivity
This issue is greater than economic growth. AI is trained in human interactions and reflects social rules and prejudices. Some may remember the experiment where Openai completed the proposal: “Three Muslims go to a bar and …” against “three Christians/Buddhists/Jews go to a bar and …” the results revealed the model’s prejudices. Or have you asked Openai about capitalism? Will the US or European version explain? Now imagine a world where all human-machine interactions are based solely on us or Chinese standards. What will this mean to Europe?
What can Europe do?
Europe has the ability to act. But he has to act now.
1) Invest in AI training
Europe has important knowledge in AI, with AI versions of comparable to that of the US, but this knowledge does not effectively translate into AI applications. Training will be the key to Europe. When Google wanted employees to adopt large linguistic models (LLMS), the first step was compulsory training. AI Literacy should be a priority for executives and professionals in all industries. I see it in my online certificate program – my lessons “Design and building AI solutions“It helps business leaders to exploit AI. After we trained AI tools, their productivity is high. Europe, incorporate AI training at every level, from universities to executive leadership programs!
2) Enhancing innovation with AI through funding
AI remodels business models, decision making and workforce. Europe must invest in AI innovation through business capital and public funding. Cherry Ventures recently closed a $ 500 million fund. The team – led by Christian Meermann and Filip Dames – focuses much of their investments in AI. It is an important but small step compared to the US $ 500 billion “Stargate” initiative. A total of large European companies invested together 700 billion euros less annually compared to their US counterparts, according to a recent report by the World Economic Forum. Europe, invests in world -class AI businesses and corporate initiatives!
3) Create frames that allow innovation
The arrangement can stifle innovation if it is bad. Europe has been very focused on the supervision of AI and not on the promotion of innovation. As Macron warned, “we adjust ourselves out of the market.” There is knowledge of the way in which innovation exists. Francisco Veloso, the Insead Dean, along with Lily Fang who presented a new AI initiative. He has conducted extensive research on technology innovation. There is knowledge. Europe, listen to thinking leaders like Insead on how to support AI’s innovation and progress.
Lily Fang introduced Insead’s AI initiative, the Institute of Human and Mechanical Intelligence, in … [+]
4) Guide to AI open source
AI models are based on mathematical principles and are difficult to limit. US restrictions in China have failed and led to better models than Deepseek. Instead of trying to limit access, let’s focus on AI open access.
Europe, hug AI open source. AI open source would allow Europe to:
- Promote innovation by providing newly established and researchers access to cutting -edge tools.
- Detect and mitigate prejudices in AI models.
- Create custom AI for even the smaller European nations, such as Liechtenstein.
5) Stop focusing only on short -term dangers
Whenever change occurs, established bodies – like Europe – focus on protectionism. In a recent discussion at the Insead American Conference, Kristin Skogen Lund, former CEO of Schibsted, noted that the media industry initially reacted online. Instead of hugging new business models such as flow, they fought legal battles for IP rights. The story repeats with AI. The EU focuses more on regulating access and intellectual property than it allows the development of the AI. Europe allows for new business models as AI changes our business landscape.
Kristin Skogen Lund (Middle) discusses with Mark Stabile (left), Marylene Delbourg-Delphis (right), … [+]
What about the AI dangers?
AI has risks! But they are not the ones that Sam Altman wants to believe. No, Agi is not here, and no, Agi does not. The real danger is the human use of its increasingly powerful AD. The issue is not technology itself, but the way people apply it. Instead of regulating technology, laws should target AI’s harmful results, while allowing innovation.
Don’t give up Europe
As Deepseek has shown, the underdog can succeed. Europe has the opportunity to cover the difference, but it must act now. The AI World Game is ongoing and Europe does not have the luxury of sitting on the sidelines. AI offers a huge opportunity for good, but requires transparency and cooperation. While the US and China battle for sovereignty, Europe must accelerate and play a critical role in shaping the AI future.
