Trusty AI: Europe's trump card and the chance of taking on a leading role in artificial intelligence

The Fourth Industrial Revolution and the Supremacy of AI

At the heart of this revolution is artificial intelligence (AI), a technology that has the potential to change every aspect of our lives – from the way we work and communicate, to the medical treatments we receive, and the weapons that defend our nations.

AI is no longer just a futuristic concept from science fiction films. It is a reality that is already shaping our world today, and its influence will increase exponentially in the coming years. The ability to develop, implement, and master AI technologies will be crucial for economic competitiveness, social development, and national security.

This race for AI dominance has triggered intense global competition between three main players: China, the United States, and Europe. Each of these regions pursues a distinct approach, shaped by its respective strengths, weaknesses, and strategic priorities. To understand the dynamics of this competition and its potential impact on our future, a comprehensive analysis of each region's investments, strategies, and ecosystems is essential.

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Investments in AI: A showdown between the superpowers

The level of investment in AI research and development (R&D) is a crucial indicator of a nation's commitment and ambitions. These investments drive innovation, promote the development of new technologies, and attract talent that further strengthens the AI ​​ecosystem.

China: The emerging AI giant

China has emerged as a serious contender in the global AI race in recent years. The Chinese government has declared AI development a national priority and channeled significant resources into the sector. Although government investment in AI declined slightly to US$1.8 billion in 2024 (down from US$2.1 billion in 2023), this does not indicate a waning interest. Rather, it could be a strategic shift, with the government encouraging private initiatives and focusing on specific, strategically important areas.

Total funding for China's AI industry reached an impressive $521 billion by December 2023. Remarkably, this represents a 51% increase in total funding, despite a 18.2% decrease in the number of investment and funding events compared to the previous year. This suggests market consolidation, with investors increasingly favoring larger, more mature AI companies with proven potential.

China plans to spend US$55 billion on total scientific and technological research and development (R&D) in 2025, a 10% increase over the previous year. Artificial intelligence (AI) is expected to be a major beneficiary. This significant increase in R&D spending underscores the Chinese government's long-term commitment to achieving technological self-sufficiency and promoting AI as a strategic priority.

Total R&D spending in China exceeded US$496 billion in 2024, representing an 8.3% increase year-on-year. Particularly noteworthy is the 10.5% rise in investment in basic research. This indicates a growing recognition that long-term AI innovations must be based on a solid scientific foundation.

Another important aspect of Chinese AI financing is the role of state-owned venture capital funds. Over the past decade, these funds have invested US$912 billion in strategic industries such as AI, with 23% going to AI-related companies. These state-backed investments play a crucial role in shaping China's AI ecosystem and often serve as a signal to private investors.

Furthermore, in early 2025, China established an $8.21 billion National AI Industry Investment Fund to accelerate AI innovation. This fund underscores the government's targeted approach to promoting the AI ​​sector, particularly in key areas of innovation.

Finally, in early 2025, China launched a state-backed venture fund of US$138 billion for emerging technologies, including AI. This massive fund signals a long-term commitment to achieving self-sufficiency in critical technologies, with AI forming a central pillar.

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USA: Silicon Valley and the power of the private sector

The United States has long been a leader in AI research and development. In contrast to China's state-driven approach, the US AI ecosystem relies heavily on private sector innovation, particularly in Silicon Valley.

In 2024, AI companies received 42% of US venture capital investments, up from 36% in 2023 and 22% in 2022. This dramatic increase underscores the overwhelming investor confidence and focus on the AI ​​sector in the US, with venture capital increasingly prioritizing AI projects.

Global venture funding for AI companies exceeded $100 billion in 2024, an increase of over 80% from $55.6 billion in 2023, with almost 33% of all global venture funding going into AI. This confirms the global trend of massive investment in AI, with the US being a major recipient and driver of this growth.

US venture capital funding totaled $178 billion in 2024, with $90 billion invested in Silicon Valley, largely driven by AI investments. This geographic concentration of AI investments underscores Silicon Valley's continued dominance as a global hub for AI innovation and funding.

Investments in AI-driven deals at VC-funded companies have increased fivefold since the fourth quarter of 2023 and accounted for over 60% of all fundraising activity in the fourth quarter of 2024. This indicates an accelerating trend with AI becoming the dominant focus for venture capital investments in the US.

Although the private sector plays a dominant role, the US government is also investing significant sums in AI research and development. In 2022, the US government spent $3.28 billion on AI investments. The total US federal IT budget for 2025 is projected to reach $75.13 billion, with a strong focus on cybersecurity and AI.

Total annual federal spending on AI research and development is less than $4 billion. The NITRD (Networking and Information Technology Research and Development Program) reports that total AI funding for fiscal year 2025 is projected to be $3.316 billion, consisting of $1.954 billion in core AI funding and $1.361 billion in support funding.

Also noteworthy is the significant increase in the Department of Defense's AI investments in recent years. Federal AI-related contracts rose by almost 1,200% from $355 million in August 2022 to $4.6 billion in August 2023. This underscores the crucial role of AI in U.S. defense strategy.

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Europe: Ethical AI and the path to competitiveness

Europe is pursuing a different approach than China and the US. Instead of relying on massive state investments or unregulated private sector innovation, Europe is focusing on developing ethical and trustworthy AI.

The EU's Digital Europe program will provide a total of €2.1 billion for AI in the period 2021-2027. The Commission will provide €1.3 billion through the Digital Europe program for the period 2025-2027 for the provision of critical technologies, including AI.

The EU has launched the InvestAI initiative, a €200 billion strategy to close the financing and development gap with the US and China, with €50 billion coming from the EU and €150 billion from private investors.

France is a leading AI hub in Europe. In 2024, 751 AI-focused startups were identified, an increase of 27% within a year, and these startups received €1.9 billion in funding in 2024.

Germany's AI strategy has a budget of approximately US$3.3 billion for the period up to 2025. The German Federal Ministry of Education and Research (BMBF) will invest more than €1.6 billion in AI during the current legislative period until the next federal elections.

Government strategies and initiatives: Setting the course for the future

Government strategies and initiatives play a crucial role in shaping a nation's AI ecosystem. They set priorities, promote collaboration, and create the legal framework for the development and deployment of AI technologies.

China: The centralized approach

The Chinese government has declared AI development a national priority and has allocated substantial sums of money, policy incentives, and opportunities for public-private partnerships. This centralized, state-directed approach is a defining feature of China's AI strategy and ensures a coordinated national effort.

In 2017, the Chinese State Council published the Artificial Intelligence Development Plan, which outlines the goal of building a 1 trillion yuan AI-powered economy by 2030 and making AI the “main driver” of industrial change.

The government is pursuing a multi-pronged strategy that includes increasing public investment, encouraging local governments to attract AI talent and companies, and guiding private sector development through public-private partnerships and government contracts.

The Bank of China unveiled its action plan for developing the AI ​​industry, pledging $137 billion (1 trillion yuan) over five years to strengthen the AI ​​supply chain and achieve “self-reliance in science and technology”.

China's law on generative AI provides guidelines and best practices for industry participants. China intends to integrate robotics with AI, positions humanoid robots as a cutting-edge technology, and has approved a $138 billion state-backed venture capital fund focused on robotics, AI, and other advanced technologies.

Initiatives such as the Digital Silk Road (DSR) aim to export China's AI technologies and governance models, thereby reshaping AI standards and practices in developing countries.

The government has established a National Computing Network to enable Chinese AI companies to invest less in their own computing power. The guideline “Accelerating Scenario Innovation to Promote High-Quality Applications of AI for High-Quality Economic Development” (2022) emphasizes the integration of AI technologies across all sectors for sustainable economic growth.

USA: Innovation and regulation in balance

The US takes a less centralized approach than China. The US government fosters innovation through investments in research and development, support for public-private partnerships, and the creation of a favorable regulatory environment. At the same time, there is a growing awareness of the need to mitigate the potential risks of AI and ensure ethical principles.

The US has a National Strategic Plan for AI Research and Development, updated in 2023, which outlines the federal government's roadmap for AI research and development. The US also has the National AI Initiative Act. This law formalizes the national AI strategy and establishes structures such as the National Artificial Intelligence Initiative Office (NAIIO).

The Biden-Harris administration is developing a National Strategy for Artificial Intelligence (AI) to harness the benefits of AI and mitigate its risks. The 2024 National Security Memorandum (NSM) on AI aims to advance U.S. leadership in AI, leverage AI for national security objectives, and promote the safety and trustworthiness of AI.

The US government intends to simplify licensing procedures for chip orders to strengthen US leadership in AI and provide clarity for allies. The House Administration Committee (CHA) released a final report on AI strategy and implementation in the 118th Congress, aiming to ensure that House offices and legislative agencies can effectively manage their own AI systems.

In 2023, the OSTP (Office of Science and Technology Policy) solicited public comments to update US national priorities and future actions in the field of AI, covering areas such as rights, security, equality, economic growth, and public service innovation.

Europe: Ethical AI as a competitive advantage

The EU's approach to AI focuses on excellence and trust, aiming to strengthen research and industrial capacities while ensuring safety and fundamental rights. This dual focus on innovation and ethical considerations is a key feature of the European AI strategy.

In April 2021, the Commission presented its AI package, which included a communication on promoting a European approach to AI, a review of the Coordinated Plan on Artificial Intelligence and its proposal for a legal framework for artificial intelligence.

The EU AI Act, which entered into force in August 2024 and will be fully applicable by August 2026, is a comprehensive legal framework that regulates AI based on risk classification and aims to guarantee safety and fundamental rights.

In January 2024, the Commission launched the AI ​​Innovation Package to support AI startups and SMEs, including the “GenAI4EU” initiative to stimulate the adoption of generative AI.

Established in February 2024, the European AI Office is the central EU body for AI expertise, supporting the implementation and enforcement of the AI ​​Act and promoting trustworthy AI.

The German AI strategy aims to make Germany a central AI hub in Europe, with total investments of 5 billion euros by 2025, focusing on research, development and deployment in SMEs and the public sector.

Since 2018, France has pursued a National Strategy for AI (NSAI), which focuses on building a dynamic ecosystem, making ambitious investments and having a future-oriented vision, with €2.5 billion allocated to AI from the France 2030 investment plan.

Launched in early 2025, the EU AI Champions initiative unites over 60 European companies to accelerate the adoption of AI and promote a competitive European technology ecosystem.

Comparative analysis of AI ecosystems: strengths, weaknesses and opportunities

To assess the competitiveness of individual regions in the global AI race, a comparative analysis of their respective AI ecosystems is essential. This analysis considers the strengths, weaknesses, and opportunities of each region.

China: The Power of Data and the State

Strengthen

• Government support: Strong, top-down government engagement and significant financial support.
• Data availability: Access to a huge amount of consumer data due to the large population and digital networking, with a historically less stringent regulatory environment regarding data protection.
• Closed ecosystem: A large domestic market and a focus on building domestic AI models and technologies, which promotes a certain degree of self-sufficiency.
• Aggressive investments: Significant funding for both domestic and foreign AI companies.
• Rapid implementation: Strong capacity for large-scale deployment of AI technologies in specific sectors such as mobile payments and high-speed trains.

Weaken

• Lack of domestic AI talent: Although the number is growing rapidly, China still lags behind the US in terms of top-notch AI researchers and experienced talent.
• Dependence on foreign core technologies: A lack of domestically developed core technologies, especially advanced semiconductors, creates vulnerabilities.
• AI Implementation Gap: Challenges in the dissemination and adoption of AI breakthroughs across a wide range of productive processes beyond consumer-oriented applications.
• Diversity of the data environment: Although China has a great depth of user data, its data environment may lag behind other regions in terms of diversity.

USA: Innovation, Capital and Talent

Strengthen

• Innovation Center: World-leading universities, research institutions, and the entrepreneurial culture of Silicon Valley are driving groundbreaking innovations in the field of AI.
• Talent pool: Leading in top-class AI researchers and attracting global talent.
• Venture capital: Robust venture capital ecosystem with massive investments in AI companies.
• Technological infrastructure: Advantage with advanced semiconductor technology and cloud computing capacities.
• Strong protection of intellectual property: A framework that promotes and protects AI innovations.

Weaken

• Concerns regarding ethical use and biases: The rapid development of AI raises concerns about unpredictable capabilities and the potential for misuse, undermining public trust.
• Data privacy concerns: Stricter data protection regulations than in China can sometimes restrict the availability and use of data for AI training.
• Unequal distribution of benefits: The market-oriented approach could lead to an unequal distribution of AI benefits in society.
• Potential cuts in federal funding: Proposed budget cuts for state research institutions could endanger the AI ​​ecosystem.
• Infrastructure challenges: The growing need for computing power for AI development presents infrastructure challenges.
• Explainability and transparency: A lack of explainability in some AI systems poses the risk of undermining trust and hindering their introduction in safety-critical sectors.

Europe: Ethical AI and industrial strengths

Strengthen

• Strong focus on ethics and regulation: The EU AI Act and the GDPR create a strong framework for trustworthy and human-centered AI, which can potentially create a competitive advantage in markets that value ethical considerations and data protection.
• Strong industrial base: Europe has a strong presence in sectors such as manufacturing, automotive and healthcare, which offer valuable data and application areas for AI.
• Leading AI research and talent in specific areas: Certain European countries and institutions are leaders in AI research, particularly in areas such as robotics and AI services.
• Focus on open-source initiatives: Emphasizing open-source AI models promotes transparency and collaboration.
• International cooperation: Strong focus on European and international networking and cooperation in AI research and development.

Weaken

• Fragmentation of the digital market: The EU's digital market is still fragmented, which hinders the scaling of AI solutions across member states.
• Difficulties in attracting human capital and external investment: Europe faces challenges in attracting top AI talent and significant external investment compared to the US.
• Lack of commercial competitiveness (historical): Historically, Europe has struggled to translate its research strengths into commercially successful AI products and services.
• Lower acceptance of AI: European organizations are lagging behind their US counterparts in the adoption of AI technologies.
• Investment gap compared to the USA and China: Total investments in AI in Europe are significantly lower than in the USA and China.
• Slow commercialization of research results: EU-funded AI projects have not always been effectively commercialized or used.
• Ineffective coordination between the EU and member states: A lack of governance instruments has limited the effectiveness of coordination in AI efforts.

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Europe's potential competitive advantages: Ethical AI and strategic niches – Image: Xpert.Digital

Europe's potential competitive advantages: Ethical AI and strategic niches

Despite the challenges facing Europe, the region has the potential to play a significant role in the global AI race. However, this requires leveraging its specific competitive advantages.

At the heart of all sustainable success lies human trust – a currency that no cost accounting can replace and no artificial intelligence can ever create. Efficiency may shine in the short term, AI may be tempting – but only trust and reliability sustain success over time. Therefore, only trustworthy AI has a future. That is why Europe, as a community of values ​​that stands behind trustworthy European AI, clearly has the upper hand compared to the USA and China. – Konrad Wolfnestein, Xpert.Digital

Ethical guidelines and data protection regulations: A “Brussels effect”?

The EU AI Act emphasizes ethical principles such as respect for human autonomy, the avoidance of harm, fairness, and accountability. The law aims to ensure that AI systems are safe, transparent, traceable, non-discriminatory, and environmentally friendly. Strong data protection regulations, such as the GDPR, complement the AI ​​Act and guarantee the responsible handling of data in AI applications.

Europe's stringent ethical and data protection regulations can represent a significant competitive advantage by building public trust and attracting companies and users who prioritize responsible AI. This could lead to a "Brussels effect," where EU standards become global benchmarks.

Focus on strategic niches: robotics, AI services and more

The EU has a comparative advantage in autonomous robotics and AI services. Europe boasts one of the world's highest levels of specialization in autonomous robotics. Focusing on and further investing in these areas of existing strength can enable Europe to establish a global leadership position in niche areas of AI.

European pharmaceutical companies are increasingly relying on AI-powered protein design. This highlights a specific sector where European AI is making significant progress. Identifying and supporting such industry-specific AI applications can drive innovation and competitiveness in key European sectors.

Europe's competitiveness in the global AI competition: A critical assessment

Europe's competitiveness in the global AI race is the subject of numerous analyses, news articles, and expert opinions. The general assessment is that Europe is currently lagging behind the US and China in the AI ​​race.

The EU's AI investments are not keeping pace with global leaders. Europe's competitiveness in AI depends on skills development, and persistent skills gaps must be addressed. Europe could achieve near-universal AI adoption in businesses by 2030, but startups are currently leading the way in driving innovation.

However, it is also emphasized that Europe has significant strengths that it can use to improve its competitive position.

Europe can seize a generational opportunity by taking the lead in applied AI and integrating it into its industrial base. While Europe produces world-class AI research, it still needs to translate this technical expertise into scalable economic success. Europe lags behind the US in external spending on AI infrastructure, software, and services.

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Europe's path to AI leadership

The global race for AI supremacy is a complex and dynamic competition that is constantly evolving. China and the US continue to invest significant sums and pursue ambitious strategies to consolidate their positions. Europe, on the other hand, faces the challenge of leveraging its specific strengths while simultaneously overcoming existing weaknesses in order to remain competitive globally.

Europe has the potential to leverage its ethical guidelines and data protection regulations as competitive advantages and to play a leading role in specific research areas such as robotics. However, to sustainably strengthen its competitiveness in the global AI race, further efforts are needed in the areas of financing, talent development, market integration, and the effective translation of research results into commercially successful applications. Initiatives at the EU level and in individual member states, as well as the commitment of European companies, indicate a growing awareness of the need to strengthen domestic capacities and define a clear position in the global AI ecosystem.

Recommendations for Europe: Strategies for a successful AI future

To strengthen its position in the global AI competition, Europe should consider the following recommendations:

Increased and more targeted investment

While initiatives like InvestAI are crucial, Europe must ensure sustainable and strategically aligned funding, both public and private, in key areas such as AI infrastructure, talent development, and the commercialization of research. The focus should be on areas where Europe has a competitive advantage or strategic importance. Europe should consider public procurement for innovation in AI applications for sectors such as healthcare and defense to stimulate demand and innovation.

Closing the skills gap

Comprehensive AI training and retraining programs for the European workforce should be implemented, ranging from basic knowledge to advanced technical skills. Attracting and retaining international AI talent through favorable visa policies and research opportunities is crucial. A focus should be placed on developing skills in responsible and green AI, where Europe already demonstrates a leading role.

Promoting a unified digital market

The fragmentation of the EU's digital market must be reduced to facilitate the scaling of AI solutions across member states. Regulations should be streamlined and cross-border data exchange promoted while respecting data protection standards. The EU should strive for a "single market for data" to foster AI investment and innovation.

Strengthening the transfer of research results into commercial applications

AI startups and SMEs should receive increased support and funding to bridge the gap between research findings and successful commercial products. Collaboration between universities and industry should be intensified. The establishment of a “CERN for AI” to promote large-scale collaborative research and innovation could be considered.

Promoting the adoption of AI in all industries

The adoption of AI technologies in all European industries, particularly in sectors where Europe already has a strong presence, should be promoted and facilitated. Incentives and support should be provided for SMEs to integrate AI into their business operations. Successful use cases and the benefits of AI adoption should be highlighted to encourage wider acceptance.

Preserving and utilizing the ethical and regulatory advantage

The development and deployment of trustworthy AI through the EU AI Act and other initiatives should continue to be promoted. Europe should position itself as a global leader in responsible AI, attracting users and businesses that prioritize ethical considerations and data privacy. The EU's ethical AI framework should be actively promoted as a global standard.

Improvement of coordination and governance

Coordination and information exchange between the European Commission and Member States regarding AI strategies and investments should be improved to ensure a more coherent and effective overall approach. The role and resources of the European AI Bureau should be strengthened to facilitate this coordination and provide expert advice.

Focus on strategic niches

Investments and the expansion of existing strengths in areas such as robotics and AI services should continue in order to establish a global leadership position in specific AI domains. Other emerging areas where Europe has a strong research base or unique industrial advantages should be identified and promoted.

Navigating the unfamiliar terrain of AI

The race for AI supremacy is not just a competition for technological superiority, but also a battle to shape the future of our society. Each of the three main regions – China, the US, and Europe – faces unique challenges and opportunities as it navigates this uncharted territory.

China: The balance between progress and control

China's centralized approach has enabled rapid progress in AI, particularly in areas such as facial recognition and smart cities. However, this approach also raises concerns about data privacy, surveillance, and the potential for misuse. The Chinese government faces the challenge of fostering innovation while ensuring that AI is developed and deployed in line with its social and political objectives.

Another challenge for China is its dependence on foreign core technologies, particularly advanced semiconductors. US export controls have highlighted this vulnerability and forced China to intensify its efforts to develop domestic chip manufacturing capabilities.

USA: Ethical Dilemmas and the Need for Regulation

The US has a long tradition of innovation and entrepreneurship, which has enabled it to be a leader in the field of AI. However, the market-oriented approach also raises concerns regarding the ethical use of AI, biases in algorithms, and the unequal distribution of benefits.

The US government faces the challenge of creating a regulatory framework that fosters innovation while mitigating the potential risks of AI. This requires a delicate balancing act that considers the interests of businesses, researchers, and the public.

Furthermore, the US must invest in the further education and retraining of its workforce to ensure that it is equipped for the new jobs and opportunities created by AI.

Europe: Ethical leadership and strengthening the single market

Europe has set itself the goal of developing ethical and trustworthy AI that respects the fundamental rights and values ​​of its citizens. The EU AI Act is a pioneering law that aims to ensure that AI systems are safe, transparent, and accountable.

However, Europe faces the challenge of transforming its ethical principles into a competitive advantage. This requires creating an innovation-friendly environment that encourages companies to develop and implement ethical AI solutions.

Furthermore, Europe must strengthen its digital single market to facilitate the scaling of AI solutions across member states. This requires removing regulatory barriers and promoting cross-border data exchange.

The path to the future: cooperation and a sense of responsibility

The race for AI supremacy is not just a competition between nations, but also an opportunity for cooperation and shared progress. The development and deployment of AI require a global approach that considers the interests of all stakeholders.

International cooperation is crucial for developing common standards and ethical guidelines for the development and use of AI. This can help ensure that AI is used for the benefit of humanity and not to exacerbate inequalities or create new threats.

Furthermore, it is important to raise awareness of the potential risks and benefits of AI and to involve the public in the decision-making process. Only through an informed and engaged public can we ensure that AI is developed and deployed in accordance with our shared values ​​and goals.

The future of AI is not in the hands of a single nation or a single company. It is in the hands of all of us. By working together and acting responsibly, we can ensure that AI becomes a force for good, improving our societies, strengthening our economies, and securing our future.

A call to action: Europe's chance to shape the AI ​​revolution

Europe is at a crossroads. It has the opportunity to take a leading role in shaping the AI ​​revolution and making the world a better place.

To achieve this goal, Europe must leverage its specific strengths, overcome its weaknesses, and develop a long-term vision for the development and deployment of AI. This requires a concerted effort from governments, businesses, researchers, and the public.

Europe must invest in the further training and retraining of its workforce to ensure it is equipped for the new jobs and opportunities created by AI. It must create an innovation-friendly environment that encourages companies to develop and implement ethical AI solutions. And it must strengthen its digital single market to facilitate the scaling of AI solutions across member states.

The challenges are great, but the opportunities are even greater. By leveraging its ethical principles, industrial strength, and innovative spirit, Europe can shape the AI ​​revolution and create a better future for us all. The time to act is now.

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