AI for Good Summit 2025: For a Sustainable Future

With the help of Gemini

1. Introduction –
Amidst a Geopolitical AI-Technological Era, Focused on Global Well-being

We have undeniably entered an era where technological supremacy is not just an economic advantage, but the very foundation of national security and geopolitical influence. In 2025, the global political context remains tense, with digital sovereignty becoming critically important. However, amidst these tensions, a monumental and hopeful event just concluded: the AI for Good Global Summit.

This UN conference, held in Geneva from July 8th to 11th, 2025 (Tuesday to Friday), was more than just a technological exhibition; it served as a vital focal point where groundbreaking, AI-driven solutions were sought for humanity's global challenges. The real stakes for nations and corporations lay in viewing AI not merely as a competitive edge, but as a key to the common future of humanity.

This unparalleled alignment brought about revolutionary changes and represented a critical strategic imperative for every decision-maker. Those who lagged behind relentlessly fell behind, not just in the technological race, but also in shaping the future of the planet and humanity. This post offers immediately applicable insights for all who could not attend the event but still wish to leverage its invaluable worth.

2. The Significance and Outcomes of the UN AI for Good Summit

The AI for Good Global Summit (hereinafter: Summit) is an annual event held under the auspices of the UN's International Telecommunication Union (ITU), which brought together the world's leading AI experts in Geneva, at the Palexpo conference center. Its goal was to present and promote AI as an accelerator for achieving the Sustainable Development Goals (SDGs). The Summit was not an abstract, theoretical discussion; it was a dynamic, action-oriented platform where real solutions were sought for real problems.

Why is this event a key factor for the planet?

The fundamental strategic importance of the Summit lies in putting technological progress at the service of global human well-being. Infrastructure, data transfer, security, economic growth, healthcare, education, climate protection – AI became exponentially more effective in these areas when specifically focused on positive social impact.

With the integration of AI, unprecedented capabilities and groundbreaking opportunities emerged in the fight against climate change, eradicating hunger, conquering diseases, and expanding access to education. This UN-organized summit was unavoidable, as it sought to foster global consensus, dialogue, and action in areas where AI has deadly, but in this case, life-saving potential.

Outcomes and Key Events of the 2025 Summit (July 8-11):

The four-day conference offered an extremely dense, thematically organized program for participants, and brought key decision-making moments in international cooperation and regulation.

• Global AI Governance Dialogue:
  
  A highlight of the Summit was the AI Governance Dialogue, organized by ITU with 53 other UN partners. Ministers and high-level government officials discussed pathways to responsible and impactful AI. The co-chairs, Majed Al Mesmar (UAE) and Anne Bouverot (France), summarized the report, advocating for an AI that bridges innovation, inclusion, and sustainability. The dialogue showed that involving developing countries in discussions is essential for shaping the digital future.
  

• AI Skills Coalition:
  
  A significant announcement was the appointment of will.i.am, the award-winning musician and tech entrepreneur, as Goodwill Ambassador for the ITU AI Skills Coalition. The Coalition aims to train 10,000 people in AI skills globally in 2025, with a particular focus on developing countries. This initiative supports capacity and skills development for the next generation of decision-makers, regulators, industry leaders, professionals, and tech innovators.
  

• Standards for Global Impact:
  
  The four-day event showcased significant progress in AI standards in key areas such as networking, multimedia, energy efficiency, healthcare, food security, and road safety.
  

  • Global Initiative on AI for Food Systems:
    
    A new initiative was launched, led by ITU, the UN Food and Agriculture Organization (FAO), the World Food Programme (WFP), and the International Fund for Agricultural Development (IFAD), to use AI to increase productivity, efficiency, and global food security.
    

  • Multimedia Authenticity Standards:
    
    Two landmark resources were released on standards and policy considerations for multimedia authenticity. This was created through a collaboration led by ITU, ISO, IEC, and other standards communities, developing standards for deepfake detection and verifying multimedia authenticity and origin.
    

  • AI Standards Exchange Database:
    
    A new database was created to support the coherent development and application of AI standards. The database currently includes standards from ITU, ISO, IEC, IEEE, and IETF, and is open to contributions from all AI standards communities. This helps standards developers coordinate their work and stakeholders apply comprehensive sets of standards.
    

  • International AI Standards Summit:
    
    ITU, ISO, and IEC will host the International AI Standards Summit in the Republic of Korea on December 2-3, 2025, bringing together standards developers and stakeholders.
    

The Summit had a decisive influence on the direction of AI development, emphasizing that technology must be an instrument of peace, prosperity, and sustainability, rather than an escalation of conflicts.

3. Global and Regional AI Landscape:
Collaboration and Innovation

The international development of AI has spurred intense global competition, where technological supremacy forms the basis of geopolitical influence. However, the AI for Good Summit offered a paradigm shift: it shifted the focus from competition to collaboration. It recognized that the planet's monumental challenges can only be solved through collective effort. The actors in this vital endeavor are not just nation-states, but also giant corporations, research institutions, and international alliances.

The Summit highlighted that AI can be the engine of global, sustainable development. It showcased how different regions are handling technological progress and geopolitical challenges. Let's examine this critical global landscape, focusing on cooperation potential and innovation hubs.

Eastern Powerhouses: The Forefront of Innovation and Adaptation

This region is at the forefront of AI development and actively seeks opportunities for cooperation to address global challenges. The developments here significantly contribute to achieving the Sustainable Development Goals.

• China:
  
  Beijing aims to become the global leader in AI by 2030 with an aggressive, state-led strategy. At the same time, it is open to global partnerships in combating climate change or in healthcare solutions. Its giant corporations, like Huawei and Alibaba, represent huge potential in SDG projects, leveraging massive data volumes and rapid innovation.
  

• Japan:
  
  Focuses AI primarily on industrial automation, robotics, and addressing the challenges of an aging society (e.g., healthcare, care). Their strategy builds on precision technology and ethical AI development. This approach aligns closely with the goals of AI for Good, especially in human-centered AI development.
  

• South Korea:
  
  A pioneer in digital transformation with breakthroughs in 5G, semiconductors, and AI. They have become a global hub for autonomous vehicles, robotics, and medical diagnostics. Their smart city solutions reduce environmental impact, and their advanced healthcare AI applications can improve care worldwide.
  

• India:
  
  The world's largest democracy, with its huge talent pool and dynamic startup ecosystem, has become a critical player in AI development. AI is key to the digital transformation of agriculture, financial services, and healthcare. Through the AI for Good platform, India can play a leading role in developing applicable, low-cost but high-impact AI solutions for developing countries.
  

• Australia and Oceania:
  
  Although geographically in China's shadow, Australia and New Zealand are actively seeking their place on the AI map, often through alliances (e.g., AUKUS). AI is used to mitigate the effects of climate change, manage water scarcity, and manage natural resources more sustainably. They actively participate in the development of international standards for the ethical and safe introduction of AI.
  

Russia: Divergent Paths and Potential Joint Projects

Russia primarily develops AI in the defense sector, cyber warfare, and internal security, under strict state control. Their strategy aims to achieve military superiority. However, the AI for Good platform provided an opportunity for dialogue on the civilian applications of dual-use technologies. For example, in monitoring natural resources or using reconnaissance capabilities in environmental monitoring, where AI can create real, shared value.

Europe: Ethics, Regulation, and Joint Efforts

The European continent focuses on the development of ethical and reliable AI, taking a leading role in shaping global norms. The EU's efforts aimed at strengthening digital sovereignty.

• European Union:
  
  With the introduction of the AI Act, the EU represents a global normative force in ethical and reliable AI. This legislation provides a fundamental ethical framework that can serve as a model for global regulation. Key member states, such as Germany, France, and the Netherlands, have significant research and development capacity for AI for Good projects, especially in data sharing and AI innovation.
  

• Germany:
  
  A pioneer of Industry 4.0, applying AI in manufacturing, automation, and the automotive industry (self-driving cars). They pay special attention to cybersecurity and the protection of critical infrastructure. Their research focuses on "Trustworthy AI" and the integration of industrial applications, contributing to the functioning of modern societies.
  

• France:
  
  Has a strong research base in AI, especially in language models and robotics. They treat the development of ethical AI as a national security priority, actively contributing to European regulation. They emphasize the preservation of French and European cultural values in the AI era.
  

• United Kingdom:
  
  Even after Brexit, it has a dynamic tech sector, and AI is also used in healthcare (NHS), financial services, and the defense industry. They also actively participated in AI for Good initiatives, especially in AI solutions related to climate change, and in the development of regulatory sandboxes and ethical guidelines.
  

• Scandinavian countries (e.g., Sweden, Finland):
  
  They have long been at the forefront of innovation and use AI for sustainable energy systems, smart cities, and the digitalization of public services. There is a strong emphasis on data-driven governance and citizen-centric services, increasing transparency and efficiency.
  

• Hungary:
  
  Its position on the regional AI map is becoming increasingly solid. With the revision of the National AI Strategy and the AI EDIH projects (e.g., increasing the digital maturity of SMEs), Hungary also contributes to the domestic introduction of "good" AI. Hungarian research centers and startups are increasingly active in developing AI-based solutions in agriculture, healthcare, and industry. In its role as a bridge between Eastern and Western technology, Hungary offers a unique opportunity for global collaborations.
  

Africa: The Continent of Growth and Challenges – AI as a Development Tool

Africa has huge potential in AI development, which can play a key role in the continent's development and in bridging the digital divide.

• Nigeria:
  
  Its startup ecosystem is dynamically developing, using AI in agriculture (e.g., crop optimization, soil quality analysis), education, and financial inclusion. With its huge population and young demographic structure, there is enormous potential in AI to accelerate social development.
  

• Kenya:
  
  A pioneer in "smart" agriculture and mobile money. AI is used to increase the efficiency of small farms, mitigate the effects of climate change, and improve access to public services. Despite the challenges, AI can be vital in bridging the digital divide.
  

• South Africa:
  
  One of Africa's technology hubs, applying AI in financial services (fintech), healthcare, and mining. The AI for Good Impact Africa regional event will also be held here in October, providing an opportunity to attract investment and transfer knowledge.
  

Americas: Innovation and Global Responsibility

The American continent is one of the engines of AI innovation, where development and global responsibility receive special attention. The work taking place here is crucial in shaping the future of artificial intelligence.

• Canada:
  
  A prominent player in AI research and ethics, with significant research centers (e.g., Mila, Vector Institute). Its goal is to become a responsible AI developer. Through the AI for Good platform, it plays a leading role in establishing ethical AI standards.
  

• USA:
  
  The United States is a global leader in AI research and development, especially through the power of the private sector and significant venture capital. American tech giants (like Google, Microsoft, Amazon, OpenAI) have made groundbreaking achievements in foundation models and applications. Although AI development is closely intertwined with national security strategy, they actively participated in solutions focused on global problems on the AI for Good platform.
  

• Central and South America:
  
  Although AI development here is still uneven, there are dynamic startup ecosystems in Mexico, Brazil, and Argentina. These use AI to promote economic growth and solve social problems (e.g., agriculture, logistics). The region is also an increasingly important arena for global cooperation, where AI for Good initiatives can have a significant impact.
  

Alliances and Bloc Building: The Geopolitical Layers

In addition to the independent efforts of individual countries, alliances and bloc building have become critically important in the field of AI.

• Traditional Military Alliances (NATO, CSTO):
  
  Although AI integration fundamentally transforms military doctrines, the Summit highlighted how AI technologies developed for military purposes (dual-use) can be applied in the civilian sector. For example, in optimizing logistics in the event of a disaster, or in using reconnaissance capabilities in environmental monitoring.
  

• Technological-Economic Alliances (G7, BRICS, UN and Regional Organizations):
  
  These platforms are vital for defining norms and standards, securing supply chains, and establishing frameworks for international cooperation. The UN and other global bodies, such as the AI for Good Summit, sought to create consensus on the ethical regulation of AI, which is fundamental to the positive use of technology.
  

Risks: The Dark Side of the Coin and Accountability

In addition to the overwhelming advantages of AI geopolitical competition, there are serious, global risks to which the AI for Good Summit paid special attention.

• Escalating AI Arms Race:
  
  Although the Summit was not about armaments, the development of LAWS (Lethal Autonomous Weapons Systems) is progressing at an alarming rate. The conference provided an opportunity for dialogue on the risks and a global moratorium or strict regulation.
  

• Data Control and Digital Oppression:
  
  The danger of mass surveillance and state data control threatens human rights. The Summit emphasized the importance of ethical data use and privacy protection as fundamental pillars of AI for Good.
  

• Technological Asymmetry and Development Gap:
  
  The deepening technological gap between developed and developing countries can destabilize the global order. The AI for Good therefore focused on knowledge transfer and capacity building in the developing world, promoting equitable access to technology.
  

• Supply Chain Vulnerability:
  
  The geographical concentration of critical technologies (e.g., semiconductors) manufacturing can lead to geopolitical blackmail. The Summit advocated for global cooperation and diversification of supply chains, increasing the resilience of systems.
  

This complex and dynamic global landscape demanded precise analysis and strategic action from decision-makers, especially within the framework of AI for Good.

4. Strategic Trends –
Redistributing AI-Driven Prosperity

The AI for Good Summit highlighted that AI can be the engine of global prosperity and sustainable development, while technological power is being rebalanced.

• Closed vs. Open Systems in the Service of the Global Good:
  
  Critical dividing lines in technological ecosystems continue to exist between closed, state-controlled systems (e.g., China) and open-source, globally cooperative models (e.g., the West). The philosophy of AI for Good supports more open, collaborative models that allow for wider dissemination of knowledge and innovation to solve global challenges. Sharing open standards and data is essential for rapid and scalable solutions.
  

• Global Competition for Norms and Standards for Trust:
  
  Who sets the rules of the game for the future in the ethical and responsible use of AI? Technological standards (e.g., those laid down by the AI Act) are critical "weapons" in the struggle for global trust. The AI for Good Summit aimed to create global consensus under the auspices of the UN on transparent, fair, and accountable AI systems, minimizing the risk of bias and discrimination.
  

• Power Realignments Along AI Technology – Focusing on Well-being:
  
  How does AI transform power relations in the international arena? The rise of new AI superpowers (e.g., India, emerging tech hubs in Africa), or the strengthening of existing ones? AI for Good emphasized that wider dissemination of technological capabilities and the involvement of developing countries in AI development are fundamental to reducing global inequalities and creating a more stable, prosperous world. Delivering AI-based healthcare solutions to the most underserved parts of the world, or optimizing agricultural production to eradicate global hunger – these are invaluable goals.

5. Industrial and Labor Market Impacts –
AI as a Production and Prosperity Revolution

The AI for Good Summit specifically addressed the industrial and labor market impacts of AI, emphasizing that technology is not just a profit-maximizing tool, but can also be an engine for global prosperity and sustainable economic development.

• Automation and New Roles in the Service of SDGs:
  
  AI is revolutionizing industries, from Industry 4.0 to precision agriculture. Smart grids and energy optimization reduce carbon emissions (SDG 7, 13). AI-driven agricultural solutions increase crop yields and reduce food waste (SDG 2). AI-based diagnostics and drug development improve healthcare (SDG 3). In all these areas, new, critical roles have emerged (e.g., AI ethics expert, data scientist in climate modeling), while others have transformed.
  

• Labor Shortage and Strategic Education for the Future:
  
  The widening gap between the skilled workforce and industrial demands represented a monumental challenge. AI for Good emphasized the need for immediate and long-term educational strategies to maintain global competitiveness and social cohesion. This includes spreading AI literacy, developing digital skills, and retraining programs that prepare the workforce for an AI-driven economy. Investment in education is essential for job creation and inclusive growth (SDG 4).
  

• Transformation of Global Value Chains – More Efficient and Sustainable Systems:
  
  The overwhelming transformation of manufacturing, logistics, and services due to AI allowed for more efficient use of resources and waste reduction. AI-based optimization was invaluable in creating more sustainable value chains, from planning shipping routes to inventory management. This directly contributed to responsible consumption and production (SDG 12) and economic growth (SDG 8), while reducing environmental footprint.

6. Ethical, Legal, and Social Aspects –
Regulating AI for the Global Good

The AI for Good Summit played a vital role in discussing the ethical and legal issues accompanying AI development, emphasizing the need for global consensus to ensure responsible and human-centered AI applications.

• Civilian vs. Military Applications (Dual-Use) – The Critical Dilemma:
  
  The dual-use dilemma is most acute in the case of AI. Although the AI for Good Summit focused on civilian applications, the question inevitably arose of how to balance the exploitation of military advantages with ethical constraints and adherence to peaceful goals. Under the auspices of the UN, the conference provided an opportunity for dialogue on limiting autonomous weapon systems (LAWS) and adhering to international humanitarian law, which is fundamental to global peace and security (SDG 16).
  

• Regulatory Bodies and Ethical Differences – Shaping Global Norms:
  
  The impact of radically different regulatory and ethical frameworks (e.g., data protection, facial recognition, AI ethics) on technological competition. The AI for Good platform created an opportunity for dialogue on these differences and sought to find common principles that are globally acceptable, minimizing technological fragmentation.
  
  The role of the UN, UNESCO, OECD, and other organizations in shaping global norms is vital. The Summit urged concrete steps towards transparent, fair, and accountable AI systems that respect human rights and privacy (SDG 16). The EU AI Act, as a unique, comprehensive regulation, served as a model for international dialogue.
  

• Social Cohesion and Threats – The Imperative of Inclusive Development:
  
  The impact of AI on social inequalities, privacy, and democratic processes is of paramount importance. AI for Good emphasized inclusive AI development that does not deepen the digital divide but bridges it (SDG 10). The conference addressed the risks of AI-based discrimination, misinformation, and protection against cyberattacks, all of which threaten social cohesion.

7. Business Value and Return –
AI as an Investment Tool for Sustainability

The AI for Good Summit not only emphasized ethical and social responsibility but also that investing in artificial intelligence could create invaluable business value, especially when focusing on solutions aligned with the SDGs.

• Maximizing ROI (Return on Investment) for Good:
  
  Specific examples showed how immediate returns and measurable financial benefits could be achieved with AI-based sustainable solutions. For instance: AI-optimized energy management can yield millions in savings, AI-driven logistics reduce fuel costs and CO2 emissions, AI-based predictive maintenance minimizes downtime, and AI healthcare diagnostics provide faster, more accurate, and cost-effective care. Each of these not only generated revenue but also contributed to the SDGs.
  

• Innovation Advantage and Competitiveness – The Engine of Sustainable Dominance:
  
  AI is the engine of unparalleled innovation speed and strategic advantage. Companies that adopted AI early and integrated sustainability goals into their operations gained significant market dominance. Consumers and investors increasingly expect social responsibility, so "AI for Good" projects were not just ethical decisions but also an immediate competitive advantage.
  

• Leveraging Regulatory Dominance:
  
  How smart regulatory frameworks and early adaptation (e.g., the EU AI Act) allowed companies to gain market dominance. Companies that proactively invested in ethical and transparent AI solutions could gain an advantage in the tightening regulatory environment and open up new markets where trust is key.
  

• Risk Management – The Payoff of Responsibility:
  
  How to reduce the business risks associated with AI adoption (e.g., data breaches, algorithmic bias) and how to transform them into a competitive advantage? The ethical guidelines emphasized by the AI for Good Summit and adherence to responsible AI governance frameworks not only minimized legal and reputational risks but also increased the trust of customers and partners, which is invaluable in the long run.

8. Forecasts and Scenarios:
2050 and 2100 –
The Future Shaped by AI

The AI for Good Summit not only sought solutions to present challenges but also conducted critical discussions on the future shaped by AI, outlining possible scenarios for 2050 and 2100, with a particular focus on human well-being.

• Future World Models – Paths of AI-Driven Development:
  

  • Multipolar world – Development in Coalitions:
    
    The most probable scenario is a world with multiple technological superpowers existing simultaneously. Global cooperation and norm-setting, as advocated by the AI for Good Summit, will be crucial for ensuring sustainable development in this environment. The sharing of knowledge and AI-based solutions will be the engine of collective well-being.
    

  • A Single Dominant Technological Superpower – A Dystopia to Avoid?:
    
    Although less desirable, a scenario where a single country or bloc achieves exclusive technological dominance in AI is conceivable. This could lead to serious inequalities and potential dystopia, where AI becomes a tool of control and oppression. The efforts of AI for Good precisely aim to prevent this monopoly through knowledge sharing and capacity building.
    

  • Technological Utopia/Dystopia for Good:
    
    The revolutionary potential of AI in solving environmental challenges and dramatically improving the quality of human life (e.g., eradicating diseases, global education) opens up incredible perspectives. However, malicious use or uncontrolled autonomy could lead to dystopia. The goal of AI for Good was to steer technology towards the "good" utopia.
    

• AI as a Decision-Making Entity – Ethical and Control Issues for the Planet's Future:
  
  How might AI's role in strategic decision-making (healthcare protocols, climate strategies, resource allocation) evolve? The Summit emphasized the importance of maintaining a "human-in-the-loop" approach, ensuring that ultimate responsibility and ethical guidance always remain with humans. The regulation of autonomous decision-making is vital.
  

• On the Cusp of the "Post-Human" Era – The Monumental Impact:
  
  AI's monumental impact on human society and the future of civilization is inevitable. AI for Good called for human-centered technology development that serves the well-being and progress of humanity, rather than questioning human existence. The dialogue on human identity, social cohesion, and the direction of technological progress is crucial.

9. Leadership Guide –
A 5-Step AI for Good Strategic Action Plan

The clear message from the AI for Good Summit is that action is imperative. This practical, time-bound strategic plan helps decision-makers apply global insights within their own organizations to achieve sustainable growth and social responsibility.

• Situation Assessment and Capacity Building – Immediate Action (Short Term: 0-6 months):
  

  • Problem:
    
    Many organizations suffer from acute knowledge and skill gaps regarding AI and its SDG-compatible applications. Leaders are often unprepared for the technology's monumental impact.
    

  • Solution:
    
    Conduct an immediate audit of existing AI capabilities, identify gaps, and launch targeted training programs for leaders and staff aligned with AI for Good principles. Develop AI literacy across all levels of the organization. (We can assist with a Corporate Accelerator AI Audit to map your organization's unique potential.)
    

• Establishing Strategic Partnerships – The Power of Collaboration (Mid Term: 6-18 months):
  

  • Problem:
    Internal resources are limited, and no single organization can cope with the speed and complexity of AI development alone.
    

  • Solution:
    
    Form key collaborations with technology companies, research institutions, and experts who follow AI for Good principles. Seek partners who complement your organization's capabilities and help accelerate development and the creation of innovative, sustainable solutions. The Summit provided an excellent opportunity to forge such partnerships.
    

• Creating Data Management and Regulatory Frameworks – The Ethical Foundation (Mid Term: 6-24 months):
  

  • Problem:
    
    AI-based projects carry significant data security, data privacy, and legal risks. Irresponsible data handling can erode trust and lead to severe consequences.
    

  • Solution:
    
    Develop an ethical and secure data strategy that complies with global data protection regulations (e.g., GDPR, AI Act). Establish internal guidelines for responsible AI application, including minimizing algorithmic bias and ensuring transparency. This proactive framework is fundamental for secure and reliable operations and represents an invaluable competitive advantage in the long run.
    

• Pilot Projects and Incubation – Quick Wins and Internal Adoption (Short-Mid Term: 3-12 months):
  

  • Problem:
    
    Implementing AI can present a high barrier to entry and face internal resistance within organizations.
    

  • Solution:
    
    Launch small-scale, rapidly scalable AI projects that deliver immediate, measurable benefits ("quick wins") and demonstrate AI's positive impact on sustainable development. Focus on areas where AI can quickly and visibly improve efficiency, reduce costs, or open new revenue streams, while contributing to the SDGs. This helps gain internal acceptance and justify further investment.
    

• Continuous Adaptation and Future-Proof Strategy – Sustainable Growth (Long Term: Ongoing):
  

  • Problem:
    
    The risk of technological obsolescence and falling behind is constant in the rapidly evolving AI landscape.
    

  • Solution:
    
    Develop an agile strategy that allows for flexible adaptation to the changing environment. Regularly review your AI strategy, monitor vital innovations, and global regulatory developments. Continuous learning and adaptation are essential for maintaining sustainable growth and competitiveness in a world where AI-driven changes are unstoppable.

10. Conclusion –
A Call for Partnership, a Strategic Warning for the Future

The AI for Good Global Summit clearly demonstrated: artificial intelligence is not just a technological revolution; it is the most monumental opportunity of the 21st century to create global prosperity and sustainability. AI is essential for achieving the Sustainable Development Goals, from combating climate change to improving healthcare access and expanding education. Those who miss out will relentlessly fall behind, not only in the technological race but also in shaping the future of the planet and humanity. This is not just a technological, but an economic, social, and human imperative.

Now is the time to take decisive steps. The future of your organization, and the future of the planet, depends on how we utilize this unparalleled technology. We call for urgent action.

aronazarar.com is ready to be your partner in this vital transformation. With our expertise, we help uncover your organization's unique potential in leveraging the opportunities inherent in AI, and we develop strategic solutions that not only create measurable business value but also contribute to building a better, more sustainable future.

Feel free to contact us for a Corporate Accelerator AI Audit to map your organization's unique potential and collectively create a future-proof strategy that ensures success in the unprecedented AI era!

Next year's AI for Good Global Summit 2026 will take place in Geneva from 7 to 10 July.