China pledges continued role in global AI governance

Chinese Premier Li Qiang has said China will continue to participate in global governance on AI responsibly and constructively.

Li made the remarks during the opening plenary of the 17th Annual Meeting of the New Champions, also known as Summer Davos, in Dalian.

According to the Chinese government’s account of the speech, Li said China would work with other parties to strengthen institutional frameworks and rules, improve regulatory effectiveness and address potential AI risks.

He said AI has significantly improved innovation efficiency, but warned that risks linked to technological loss of control and ethical failures are becoming more pronounced.

Li said governance needs to keep pace with AI development, warning that the consequences could be severe if regulatory systems fail to keep to with the pace of technological change.

The remarks underline China’s continued effort to position itself as a participant in international AI governance debates, while also linking AI regulation to broader questions of innovation, economic development and global cooperation.

Why does it matter?

Li’s remarks show that AI governance remains part of China’s wider diplomatic and economic positioning. As frontier AI advances, governments are treating safety, ethics and regulatory coordination as strategic issues alongside competition over models, compute and industrial capacity. The speech does not introduce a new Chinese AI policy, but it reinforces Beijing’s message that global AI governance should involve international coordination rather than being shaped only by a few countries or companies.

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UN to honour digital and AI-powered public service innovations

The United Nations Department of Economic and Social Affairs (UN DESA) will honour 12 public sector initiatives at the 2026 UN Public Service Awards for advancing the Sustainable Development Goals through more inclusive, transparent and participatory public services.

The awards attracted more than 700 applications from 62 countries and recognise projects ranging from digital document verification and public procurement monitoring to improving education access and supporting coastal women.

According to UN DESA, several winning initiatives leverage digital government tools, information and communication technologies (ICTs) and AI to improve service delivery and strengthen public administration capacity.

The awards ceremony will be held during the UN Public Service Forum in Tbilisi, Georgia, following the commemoration of UN Public Service Day.

Why does it matter?

The awards highlight how governments are increasingly using digital technologies and AI to improve public service delivery, strengthen administrative capacity and advance sustainable development objectives. From digital verification systems to more transparent procurement processes, technology is becoming an important tool for making public institutions more efficient, accountable and accessible.

The initiative also demonstrates the growing role of digital transformation in achieving the Sustainable Development Goals. By recognising successful public-sector innovations from around the world, the awards provide examples of how governments can use technology to address social, economic and governance challenges while promoting inclusion, transparency and citizen participation.

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Spain moves closer to hosting one of Europe’s first AI gigafactories

Spain has taken another significant step in its effort to become a leading European hub for AI and advanced computing infrastructure.

The Council of Ministers has approved a €300 million voluntary contribution to the European High Performance Computing Joint Undertaking (EuroHPC), the body responsible for supporting Europe’s AI factories and the future development of AI gigafactories.

According to the Ministry for Digital Transformation and Public Administration, the contribution is a critical component of Spain’s bid to host one of the EU’s first AI gigafactories.

The government argues that access to large-scale computing infrastructure is becoming essential for researchers, universities, startups and businesses seeking to develop advanced AI systems and remain competitive in an increasingly AI-driven economy.

The investment builds on Spain’s existing role within Europe’s supercomputing ecosystem. The country already hosts AI factories at the Barcelona Supercomputing Center and the Galician Supercomputing Center, while the MareNostrum 5 supercomputer has supported projects ranging from genomic research to climate and digital twin initiatives.

The funding also aims to strengthen Spain’s position in quantum technologies, an area increasingly viewed as strategically important for Europe’s long-term technological autonomy.

The announcement reflects a wider European push to expand sovereign computing capabilities as demand for AI training infrastructure grows worldwide.

By seeking to host an AI gigafactory, Spain hopes to attract investment, support innovation, strengthen domestic technological capabilities and position itself as a central player in Europe’s next-generation AI ecosystem.

Why does it matter?

Access to large-scale computing infrastructure is becoming a strategic prerequisite for advanced AI development. Training frontier AI models, running large-scale simulations and supporting scientific research require computing resources that are increasingly concentrated among a small number of global technology providers. Spain’s investment seeks to strengthen both national and European capacity in this critical area.

The announcement also reflects the EU’s broader push for technological sovereignty. By expanding domestic AI and supercomputing infrastructure, Europe aims to reduce dependence on foreign computing resources, support innovation ecosystems and ensure that advanced technologies are developed within frameworks aligned with European values, regulations and industrial priorities. The competition to host AI gigafactories is therefore as much about economic competitiveness and strategic autonomy as it is about computing power.

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Taiwan launches national AI strategy committee

Premier Cho Jung-tai chaired the inaugural meeting of the Cabinet-level National Artificial Intelligence Strategy Committee on Tuesday, marking a formal step in Taiwan’s effort to shape its long-term AI strategy.

Cho said Taiwan should move beyond its traditional role as a manufacturing hub and become a model for AI development grounded in freedom, democracy and public trust. Central to this vision is the use of domestic datasets to build what the premier described as a secure, trustworthy, and responsible AI ecosystem.

The committee adopted seven guiding principles for responsible AI, covering sustainability and well-being, human autonomy, privacy and data governance, cybersecurity and safety, transparency and explainability, fairness and non-discrimination, and accountability. Education, healthcare, finance, and justice were designated as the initial sectors for demonstration, with ministries expected to gradually expand AI use into a broader ‘smart living’ ecosystem.

Under the AI Basic Act, government agencies are required to complete the necessary regulatory adjustments within two years. The Ministry of Digital Affairs has been tasked with developing a risk classification framework and coordinating audits across sectors, with particular attention to areas affecting fundamental rights such as education and employment.

Drawing on the model of chief sustainability officers, Cho called for the appointment of chief data officers across government ministries to strengthen data governance, open data initiatives and AI training datasets. Data governance, he stressed, must balance innovation with protections under existing personal data and copyright legislation.

The National Science and Technology Council was instructed to revise the draft national AI framework based on committee feedback before submitting it for Cabinet approval. Sector-specific governance rules will also be developed, with the Ministry of Digital Affairs responsible for guiding industries on AI risk assessments, governance measures and internal controls.

Why does it matter?

Taiwan’s strategy illustrates how AI policy is increasingly intertwined with questions of digital sovereignty, governance and democratic values. By emphasising trusted AI, domestic datasets and protections for privacy and fundamental rights, Taiwan is seeking to distinguish its approach from other models of AI governance while strengthening its technological competitiveness.

The initiative also moves beyond broad policy ambitions by establishing governance structures and implementation deadlines. The two-year timeline under the AI Basic Act, together with plans for sector-specific rules, risk classification and data governance reforms, will provide an early test of how effectively governments can translate high-level AI principles into practical regulation and public-sector adoption.

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China reports a surge in AI adoption and large language model use

Chinese Premier Li Qiang said China’s AI sector has experienced ‘explosive growth’, citing significant performance improvements across multiple Chinese large language models.

Speaking at the opening plenary of the 17th Annual Meeting of the New Champions in Dalian, Li said daily token consumption across Chinese large language models had exceeded 100 trillion by the end of May, placing China among the world’s leading AI markets by usage.

Li also pointed to advances in embodied AI, saying the technology is beginning to move towards large-scale commercial deployment. The remarks came at the forum commonly known as Summer Davos, an annual gathering held in China focused on global economic and technological trends.

Li did not announce new policy measures or provide additional supporting data. His remarks nevertheless reinforce China’s broader narrative of rapid progress in AI model development and commercial deployment.

Why does it matter?

China’s remarks underscore the growing importance of AI as a strategic driver of economic competitiveness and technological leadership. Claims of daily token consumption exceeding 100 trillion suggest that large language models are being deployed at a significant scale, although the figures were presented by the Chinese government and were not independently verified.

The announcement also reflects intensifying global competition in AI. By highlighting advances in foundation models and embodied AI at a high-profile international forum, China is signalling its ambition to compete with other leading AI economies while showcasing progress in both AI research and commercial applications.

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Geneva at the centre of AI governance: Where technology, diplomacy, and humanity converge

Geneva’s growing role in the AI era

As AI reshapes economies, societies, and governance systems worldwide, Geneva is increasingly emerging as one of the most important global centres for discussions on the future of digital technologies.

In a recent interview, Diplo Executive Director Jovan Kurbalija described Geneva as a place where multiple dimensions of AI governance intersect. From technical standards and international trade to human rights, humanitarian action, and diplomacy, the city hosts institutions and processes that shape how digital technologies are developed, governed, and used worldwide.

According to Kurbalija, a significant share of global discussions on AI and digital governance takes place within a relatively small area surrounding Geneva’s international district. The concentration of international organisations, diplomatic missions, standards-setting bodies, and expert communities has positioned the city as a unique meeting point for addressing the opportunities and challenges associated with AI.

A hub for global digital governance

Geneva’s importance in digital governance stems largely from the presence of international organisations whose work directly affects the digital ecosystem.

Among them is the World Trade Organization (WTO), which plays a role in shaping the global rules governing trade, supply chains, e-commerce, and the international movement of goods and services that underpin the digital economy. Decisions and discussions within the WTO influence the broader environment in which digital technologies are produced, exchanged, and deployed.

Another key institution is the International Telecommunication Union (ITU), the UN specialised agency for information and communication technologies. ITU has long served as a forum for international cooperation on telecommunications and digital technologies, and today plays an increasingly prominent role in discussions related to AI and digital governance.

Geneva is also home to major international standards organisations, including the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). These organisations develop technical standards that enable digital devices, networks, and systems to function together across borders and industries.

Although often invisible to users, technical standards play a fundamental role in ensuring interoperability, connectivity, and trust in digital systems. As AI technologies become more integrated into everyday life, standards are expected to play an increasingly important role in areas such as safety, transparency, and accountability.

From Frankenstein to AI: Geneva’s intellectual legacy

Kurbalija also highlighted a less visible but equally important dimension of Geneva’s role in AI governance, its intellectual and historical heritage.

He referred to what Diplo describes as the EspriTech de Genève, the intersection between technological developments and ideas that have emerged from thinkers associated with Geneva throughout history.

One of the most notable examples is Mary Shelley, who wrote Frankenstein near Lake Geneva in 1816. Often regarded as one of the earliest works of science fiction, the novel explores the relationship between creators and their creations, raising questions about responsibility, unintended consequences, and the limits of human control.

More than two centuries later, similar questions continue to shape contemporary debates on AI governance. Discussions surrounding increasingly capable AI systems frequently return to concerns about human oversight, accountability, and the potential consequences of technologies that may act in ways not fully anticipated by their creators.

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Kurbalija also pointed to the work of Argentine writer Jorge Luis Borges, whose reflections on knowledge, information, and human cognition continue to resonate in an era characterised by large-scale data processing and machine-generated content.

The intellectual traditions associated with Geneva provide a broader context for understanding contemporary AI debates, linking present-day governance questions to longer-standing discussions about technology, knowledge, and humanity.

Geneva as a centre for AI diplomacy

Beyond its historical and institutional significance, Geneva has become an increasingly active venue for international discussions on AI governance.

The city hosts a growing number of meetings, conferences, and policy dialogues dedicated to the governance of AI and other emerging technologies. Among the most prominent is the annual AI for Good Summit, organised by ITU in partnership with other UN agencies and stakeholders. The event brings together governments, international organisations, researchers, private sector representatives, and civil society to explore the societal implications of AI and identify opportunities for international cooperation.

Geneva also hosts a range of other initiatives focused on AI governance, including policy dialogues, expert consultations, and multistakeholder discussions addressing issues such as human rights, health, humanitarian action, sustainable development, trade, and technical standards.

Geneva
Image via freepik

According to Kurbalija, AI is now on the agenda of many international organisations based in Geneva. Whether addressing healthcare, humanitarian assistance, trade, education, telecommunications, or development, institutions increasingly examine how AI affects their respective mandates and policy objectives.

This growing presence reflects the recognition that AI is not solely a technological issue. Instead, it spans multiple policy domains, requiring coordination among technical experts, policymakers, diplomats, regulators, and affected communities.

Reducing ‘lost in translation’ in AI governance

As AI discussions become more widespread, one challenge frequently identified by policymakers and international organisations is the gap between technological developments and policy understanding.

Kurbalija argues that many stakeholders remain ‘lost in translation’ when trying to understand the implications of AI. Technical terminology, rapidly evolving technologies, and complex governance debates often create barriers for diplomats, policymakers, and officials who are expected to make decisions about AI despite not having technical backgrounds.

To address this challenge, Diplo combines research, capacity development, and practical experimentation.

The organisation conducts research on both the historical roots of AI-related thinking and contemporary governance challenges. At the same time, it develops tools and educational programmes designed to help policymakers better understand the technology and its implications.

A central component of this effort is Diplo’s AI Apprenticeship programme.

Rather than teaching AI solely through theory, the programme encourages participants to learn by building AI applications themselves. Diplomats and officials from different countries work directly with AI tools, gaining practical experience with concepts such as neural networks, large language models (LLMs), and AI systems development.

According to Kurbalija, direct engagement with AI technologies allows participants to move beyond abstract discussions and develop a more practical understanding of how these systems function and where their limitations lie.

Where technology meets humanity

Kurbalija described Geneva as a place where several distinct but interconnected forces converge.

The first is the technological dimension, represented by organisations working on telecommunications, standards, digital infrastructure, and emerging technologies.

The second is the historical and intellectual dimension, reflected in the ideas of thinkers associated with Geneva and the broader region, whose work continues to inform contemporary discussions about technology and society.

Geneva
Image via Freepik

The third is the diplomatic dimension. Geneva remains one of the world’s most active centres of multilateral diplomacy, hosting permanent missions and representatives from nearly every country. Discussions in Geneva frequently shape global approaches to issues ranging from trade and humanitarian affairs to digital governance and AI.

The fourth is what Kurbalija describes as the human dimension. Many Geneva-based institutions focus on protecting and advancing human welfare through work on human rights, humanitarian action, health, labour, migration, and development.

Together, these dimensions create an environment in which technological innovation can be discussed alongside its social, ethical, economic, and political implications.

Looking ahead

As governments, international organisations, and societies continue to grapple with the opportunities and risks associated with AI, Geneva’s role as a centre for digital governance is likely to become increasingly significant.

The city’s unique combination of technical expertise, standards-setting institutions, diplomatic networks, and human-centred governance traditions provides a platform for addressing complex questions that no single actor or sector can solve alone.

For Kurbalija, this convergence of technology, diplomacy, and humanity represents one of Geneva’s defining characteristics. In a period marked by rapid technological change and growing uncertainty, the city continues to serve as a place where different perspectives can meet to shape the future of AI governance.

As debates around AI evolve, Geneva is likely to remain one of the key venues where those discussions are translated into international cooperation, governance frameworks, and practical solutions with global impact.

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FIFA World Cup 2026 faces growing AI and cybersecurity threats

The FIFA World Cup 2026 is not only a football tournament. It is one of the largest digital security tests ever associated with a global public event.

With 48 teams, 104 matches and 16 host cities spread across the USA, Canada and Mexico, the ongoing tournament creates a vast network of stadium systems, ticketing platforms, broadcasters, hotels, transport providers, mobile applications, public Wi-Fi networks, payment systems, and connected devices.

The scale of digital interconnection is unprecedented in the history of international sport.

The Canadian Centre for Cyber Security has warned that the event will almost certainly attract cybercriminals, state-sponsored actors and other threat groups because of its visibility, infrastructure complexity, and broad supplier ecosystem.

Similar concerns have been raised by cybersecurity researchers, government agencies and intelligence analysts, all of whom view the tournament as a high-value target.

Canada warns FIFA World Cup 2026 could face cyberattacks, scams and AI-driven disinformation.

What makes the World Cup 2026 particularly significant is the growing role of AI.

AI will support crowd management, threat detection, cybersecurity operations, content moderation, logistics planning, and fan engagement. Ironically, the same technologies will provide attackers with powerful new tools to automate phishing campaigns, generate convincing deepfakes, conduct fraud operations and spread disinformation at an unprecedented scale.

Perhaps paradoxically, the result is a tournament where AI functions simultaneously as a defensive capability and an offensive weapon.

The largest entertainment attack surface in history

Cybersecurity experts have described the FIFA World Cup 2026 as the ‘largest global entertainment attack surface in history’. The description reflects not only the size of the tournament but also the complexity of its digital ecosystem.

Every match involves interactions between permanent stadium infrastructure, temporary commercial suppliers, cloud service providers, telecommunications operators, transportation networks, emergency services, broadcasters, and millions of fans. Unlike previous tournaments, many of these systems are deeply integrated through digital platforms and real-time data exchanges.

Researchers have noted that the attack surface extends far beyond FIFA’s own networks. Airlines, hotels, payment processors, media organisations, local authorities, ride-sharing platforms and tourism providers all become part of the broader security environment. A successful attack on any of these entities could create disruption that affects the tournament itself.

The Center for Strategic and International Studies (CSIS) has divided the World Cup attack surface into three layers. The first includes direct tournament infrastructure such as stadiums, ticketing systems, and broadcasting operations.

The second includes supporting infrastructure such as telecommunications networks, transportation systems and cloud providers. The third consists of millions of individual devices belonging to players, officials, journalists, sponsors and supporters.

Consequently, a cyber incident does not need to compromise FIFA directly to have significant consequences. A ransomware attack affecting a hotel chain, a denial-of-service attack against a transportation provider, or a breach of a ticketing partner could undermine public confidence and create operational disruption in multiple host cities.

AI-driven cybercrime and financial fraud

The most immediate threat facing supporters is financially motivated cybercrime. Major sporting events have historically attracted fraud schemes, but AI significantly increases their sophistication and reach.

Criminal groups are expected to exploit public interest through phishing campaigns, social engineering operations, fake ticket sales, fraudulent travel packages, malicious mobile applications and counterfeit livestreaming services.

The Canadian Centre for Cyber Security highlighted research indicating that more than 4,300 suspicious World Cup-related domains had already been identified by August 2025.

Generative AI allows attackers to produce convincing communications in multiple languages within seconds. Emails can imitate official FIFA announcements, airline notifications, hotel confirmations or ticketing updates with remarkable accuracy. AI-generated text can eliminate many of the grammatical errors that have traditionally exposed phishing attempts.

The personalisation capabilities of AI further increase effectiveness. Information gathered from social media profiles can be used to create tailored messages targeting specific individuals.

A supporter who has publicly discussed attending a World Cup match may receive a realistic-looking email containing details of a stadium, flight, or accommodation booking.

Cybersecurity researchers also warn about AI-powered chatbots designed to engage victims in extended conversations, gradually building trust before directing them towards malicious websites or fraudulent payment portals.

Such attacks represent an evolution beyond traditional phishing because they can adapt dynamically to the victim’s responses.

Deepfakes, disinformation and information warfare

One of the most significant AI-related concerns surrounding the World Cup is the potential use of deepfake technology and synthetic media.

Deepfakes can generate highly realistic audio, video, and images depicting events that never occurred. During a tournament watched by billions of people, such content could spread rapidly before verification mechanisms have time to respond.

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A fabricated video appearing to show a national team manager criticising players, a fake government announcement warning of security threats, or an AI-generated recording supposedly involving FIFA officials could create confusion and damage reputations.

Even brief circulation of false information may influence public perception, financial markets, or security decisions.

Threat actors are very likely to employ AI-generated articles, images and videos during the World Cup tournament. Furthermore, state-sponsored influence operations remain possible, particularly if geopolitical tensions involving participating nations intensify.

The risk is not limited to political manipulation. Criminal groups may use deepfakes to support fraud operations, impersonate public figures or create fake emergency announcements designed to generate panic.

The speed of modern social media platforms means that misleading content can reach millions of users before fact-checking efforts can become effective.

The World Cup, therefore, represents a major test for digital information resilience. Governments, media organisations and technology platforms will need rapid verification capabilities to distinguish authentic content from increasingly sophisticated synthetic media.

Critical infrastructure and operational technology risks

The World Cup’s dependence on critical infrastructure creates another layer of cybersecurity concern.

Electricity grids, water systems, telecommunications networks, transportation infrastructure and emergency communications all support tournament operations. Any disruption affecting these systems could have consequences extending far beyond football matches.

Security researchers have warned that operational technology environments often remain less protected than traditional information technology networks. Many infrastructure systems were designed decades ago, long before cybersecurity became a primary concern.

As digital connectivity expands, vulnerabilities within such systems become increasingly attractive targets.

A cyber-attack on public transportation networks could delay tens of thousands of supporters travelling to World Cup matches. Disruptions affecting telecommunications systems could interfere with emergency coordination, media coverage and public communications.

Attacks targeting stadium access systems could create safety concerns if spectators are unable to enter or exit venues efficiently.

The multinational structure of the tournament further increases its complexity. The US, Canada and Mexico operate under different legal frameworks, cybersecurity standards and regulatory environments.

Effective protection, therefore, requires unprecedented levels of coordination between public authorities and private sector partners in the three countries.

Protecting fan data and digital identities

The FIFA World Cup generates enormous volumes of personal data. Ticket purchases, accommodation bookings, transportation arrangements, mobile applications, loyalty programmes and payment systems all collect information about supporters.

Such datasets are highly attractive to cybercriminals. Personal information can be used for identity theft, financial fraud, account takeovers or targeted phishing campaigns. The concentration of large numbers of international visitors further increases the value of collected data.

Digital ticketing systems present both opportunities and risks. While electronic tickets reduce certain forms of fraud and improve operational efficiency, they also create new attack vectors. Compromised accounts, stolen credentials and fake ticket marketplaces can all exploit digital ticketing ecosystems.

The use of biometric technologies introduces additional challenges. Facial recognition systems may be employed for security screening, venue access or identity verification. Although such technologies can improve efficiency and security, they also raise questions about privacy, consent, data retention, and oversight.

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Maintaining public trust requires transparency regarding how personal information is collected, stored, and protected. Strong cybersecurity measures must be accompanied by clear governance frameworks and accountability mechanisms.

Online abuse and AI moderation

Cybersecurity during the World Cup extends beyond technical attacks. Online abuse, harassment and hate speech represent significant digital risks affecting players, officials and supporters.

Experience from previous tournaments illustrates the scale of the problem. FIFA reported that one in five players participating in the 2023 Women’s World Cup experienced online abuse. Through the Social Media Protection Service, nearly 117,000 comments were hidden or blocked during the competition. Almost half of the abusive messages were classified as sexist, sexual, or homophobic.

The scale of online interaction surrounding the men’s World Cup is expected to be substantially larger. Social media platforms, therefore, face significant pressure to prevent abuse while preserving legitimate expression.

Ofcom has already warned platforms about their responsibilities under the UK Online Safety Act. The regulator expects companies to maintain effective reporting systems, sufficient moderation resources and rapid responses to illegal content.

Tech companies face scrutiny during the FIFA World Cup as Ofcom monitors compliance.

AI will play a central role in content moderation efforts.

Machine learning systems can analyse vast quantities of user-generated content and identify harmful material much faster than human moderators alone. However, AI moderation remains imperfect. Algorithms may struggle with sarcasm, cultural context, local languages or rapidly evolving forms of abuse.

Balancing safety and freedom of expression will remain one of the most challenging governance issues during the World Cup.

AI as a cybersecurity enabler

Despite the risks, AI has become an essential component of modern cybersecurity strategies.

Security operations centres generate enormous volumes of alerts, logs and threat intelligence data. Human analysts alone cannot process this information effectively. AI enables organisations to identify patterns, prioritise risks, and respond more rapidly to emerging threats.

Machine learning systems can detect unusual network behaviour that may indicate malicious activity. AI tools can analyse phishing campaigns, identify fraudulent domains and uncover relationships between seemingly unrelated attacks.

cybersecyrity AI

Automated systems can isolate compromised devices and block suspicious traffic before significant damage occurs.

AI is also becoming increasingly important for threat intelligence. Security teams use machine learning models to analyse information from global threat feeds, identify emerging attack techniques and predict potential risks. During an event as large as the FIFA World Cup, such capabilities may provide critical advantages.

Beyond cybersecurity, AI supports broader security operations. Computer vision systems can monitor crowd movement, identify congestion points, and assist with emergency planning. Predictive analytics can help authorities allocate resources more effectively and improve incident response capabilities.

Nevertheless, AI should be viewed as a force multiplier rather than a replacement for human expertise. Automated systems can produce false positives, miss novel attack methods or be manipulated through adversarial techniques. Human oversight remains essential, particularly when decisions affect public safety and civil liberties.

International cooperation and long-term implications

The cybersecurity challenge facing the World Cup cannot be addressed by FIFA alone. Effective protection requires collaboration among governments, intelligence agencies, law enforcement organisations, cloud providers, telecommunications companies, stadium operators, and cybersecurity firms.

Information sharing will be particularly important. Threat intelligence must move rapidly across organisations and national borders. Attack indicators identified in one host city may become relevant to another within minutes.

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The World Cup also serves as a preview of the future challenges facing large-scale public events. As AI becomes increasingly integrated into infrastructure, transportation, communications and security operations, future tournaments will become even more dependent on digital technologies.

The lessons learned from 2026 are therefore likely to influence cybersecurity planning for future Olympic Games, continental championships, political summits and other international gatherings.

Conclusion

The FIFA World Cup 2026 demonstrates how deeply sport has become intertwined with the digital world. Football remains the centrepiece of the tournament, but its success depends equally on cybersecurity, AI governance and operational resilience.

AI will help protect infrastructure, support threat detection, improve crowd management, and strengthen cyber defence capabilities. At the same time, it will enable more sophisticated phishing campaigns, more convincing deepfakes, more effective disinformation operations and increasingly personalised fraud schemes.

The central challenge is not whether AI should be used. The challenge is how it can be deployed responsibly, securely and transparently within one of the most complex public events ever organised.

Success will depend on balancing innovation with security, automation with human oversight and efficiency with public trust.

The real test for FIFA, host governments and technology providers will be resilience. Cyber incidents are almost inevitable given the scale and visibility of the tournament. What will matter most is the ability to detect threats quickly, limit disruption, recover effectively and maintain public confidence.

Ultimately, the FIFA World Cup 2026 may be remembered as the first truly AI-era World Cup, where cybersecurity, misinformation and digital resilience have become as important as events on the pitch.

As citizens, supporters and digital users, we each have a role to play in protecting the integrity of the information and technologies that increasingly shape our lives.

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Meta launches new AI glasses with Muse Spark assistant

Meta has launched a new generation of AI glasses in partnership with EssilorLuxottica, expanding its push to make wearable AI a mainstream consumer technology.

The new Meta Glasses build on the company’s existing AI eyewear portfolio and will launch with 26 styles across different colours, lenses and frames.

Meta said the glasses include hands-free photo and video capture, open-ear audio, voice control, calls and messaging, live translation and access to Meta AI. The company also said the device offers more than eight hours of battery life, with a charging case providing up to 40 additional hours.

The glasses are the first in Meta’s AI eyewear line to launch with Meta AI powered by Muse Spark from day one. Meta said the model, developed by Meta Superintelligence Labs, gives the assistant stronger multimodal capabilities, including a better understanding of what users are seeing.

The company said the assistant can answer questions, suggest local recommendations, support daily tasks and help users manage schedules hands-free. Meta is also adding features such as dynamic photo capture, pedestrian navigation for displayless glasses and live translation support for 14 additional languages.

The launch reflects growing competition in AI wearables, as technology companies seek new interfaces beyond smartphones. By combining AI assistance with everyday eyewear, Meta is trying to position smart glasses as a practical gateway to always-available AI services.

Why does it matter?

AI glasses move digital assistants closer to the physical world, giving AI systems access to what users see, hear and do throughout the day. That could make AI more useful for translation, navigation, accessibility and hands-free computing, but it also raises questions over privacy, bystander consent, data collection and dependence on platform-controlled AI assistants.

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World Bank says AI could boost Poland’s GDP by up to 12% by 2035

The World Bank Group says AI could increase Poland’s real GDP by between 1.3% and 12.1% by 2035, depending on the pace of business adoption, workforce adaptation and supportive public policies.

In its report, ‘Navigating the Age of AI: Implications for Poland’s Economy‘, the World Bank Group said AI-driven productivity gains could begin emerging within three years. However, with only 8% of Polish firms currently using AI, the report identifies substantial scope for further adoption and productivity gains.

The report suggests that AI‘s most significant impact is likely to be on how work is organised and performed rather than on the overall composition of the economy. The business services sector is expected to be among the first to experience significant change as routine and repetitive tasks become increasingly automated.

The report argues that capturing AI’s benefits will require sustained investment in digital infrastructure, skills development and innovation, alongside labour-market measures designed to support workforce transition and adaptation. The report was developed in collaboration with the Government of Poland, academia, think tanks and international partners in Warsaw.

Why does it matter?

The report highlights the growing importance of AI as a driver of productivity and economic growth. For countries such as Poland, the potential gains from AI will depend not only on technological adoption but also on the ability of businesses, workers and institutions to adapt to changing economic conditions.

The findings also reinforce a broader policy lesson emerging globally: AI’s economic impact is likely to be shaped as much by investments in skills, infrastructure and labour-market resilience as by the technology itself. Countries that successfully combine innovation with workforce development may be better positioned to capture productivity gains while limiting disruption and inequality during the transition.

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OECD report highlights AI’s growing role in workforce training

AI is beginning to reshape how vocational education and training (VET) systems design qualifications, update curricula and respond to rapidly changing labour market demands, according to a new OECD report.

As economies undergo digital and green transitions, education authorities face growing pressure to ensure training programmes remain aligned with evolving workforce needs.

The report finds that AI is already being used across parts of the vocational education ecosystem to analyse labour market trends, identify emerging skills gaps, map competencies and support curriculum development.

Countries, including the Netherlands, Switzerland, Estonia and Germany, have launched pilot initiatives using AI tools to accelerate and improve qualification design and revision processes.

AI is also being explored as a mechanism for supporting modular learning pathways and micro-credentials in sectors experiencing rapid technological change.

Despite growing interest, the OECD stresses that AI adoption remains uneven and largely experimental. Most systems continue to rely on traditional governance structures involving employers, industry representatives, educators and public authorities.

Rather than replacing existing governance processes, AI is currently being used to support evidence gathering, stakeholder consultations and administrative functions. The organisation notes that countries with strong digital infrastructures and advanced labour market intelligence systems are better positioned to move from isolated pilots to broader implementation.

The report also warns that broader AI adoption could introduce new risks for vocational education systems. Concerns include biased outputs, poor data quality, reduced transparency, cybersecurity vulnerabilities and the possibility of weakening collaborative decision-making.

To address these challenges, the OECD argues that AI deployment must remain human-centred and operate within robust governance frameworks. Maintaining accountability, ensuring stakeholder participation and protecting data integrity will be critical as governments increasingly integrate AI into education and workforce development policies.

Why does it matter?

Vocational education systems play a critical role in preparing workers for changing labour markets. As digitalisation, automation and the green transition reshape skills demand, governments are looking for ways to update qualifications and training programmes more quickly. The OECD report suggests that AI could help education systems identify emerging workforce needs, improve labour market intelligence and make curriculum development more responsive.

At the same time, the report highlights that technological innovation alone is unlikely to solve skills challenges. The effectiveness of AI in vocational education will depend on strong governance, reliable data, stakeholder participation and human oversight. How governments balance efficiency gains with transparency, accountability and trust could shape the future of workforce development and lifelong learning policies.

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