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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Greece drafts national framework to implement the EU AI Act

Greece has opened a public consultation on a draft law to implement the EU AI Act and create a national framework for AI governance.

The Ministry of Digital Governance and Artificial Intelligence said the draft law has been under public consultation since 21 June 2026, with comments open until 6 July. The proposal aims to introduce the national mechanisms needed to apply the AI Act in Greece while supporting innovation, competitiveness and the protection of fundamental rights.

Under the draft law, the Hellenic Data Protection Authority would become the central market surveillance authority and national contact point for AI Act implementation. The Hellenic Telecommunications and Post Commission would act as the notifying authority for conformity assessment procedures.

The proposal would also establish an Artificial Intelligence Coordination and Expertise Centre to support the implementation of the new framework.

It would create an AI regulatory sandbox, allowing startups and small and medium-sized enterprises to develop and test innovative AI applications in real-world conditions with support from the state.

The draft law also introduces a complaint-handling mechanism, an administrative sanctions system and a unified registry of AI systems used by public-sector bodies. The registry is intended to strengthen transparency, accountability and public trust in government use of AI.

The proposal would also reinforce the role of Greece’s Artificial Intelligence Observatory in monitoring the implementation of the National AI Strategy.

Why does it matter?

Greece’s proposal shows how the EU AI Act is moving from Brussels-level legislation into national enforcement structures. The draft law would assign supervisory roles, create a national AI coordination centre, establish a regulatory sandbox and require a public-sector AI registry. Such measures could shape how AI systems are monitored, tested and deployed across both government and the private sector, while giving startups clearer pathways for compliance.

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Oxford and UCL to lead UK-funded labs on next-generation AI

The UK government has announced two new AI research labs led by University College London and the University of Oxford, backed by up to £60 million in funding and access to large-scale computing power.

The labs will work on next-generation AI systems that are cheaper to run, more reliable and easier for businesses, researchers and public services to use. Funding will be provided through UK Research and Innovation’s Engineering and Physical Sciences Research Council over six years.

The announcement expands the government’s original plan from one AI lab to two, increasing planned funding from £40 million to up to £60 million. The labs will also receive access to computing resources valued at tens of millions of pounds.

The Science of Fundamental AI Research Lab, or SOFAIR, will be led by Professor David Barber at UCL, with researchers from Cambridge, Oxford and Edinburgh. It will focus on open-source AI technologies that can run on widely available hardware, aiming to reduce dependence on a small number of model providers.

The British Open-ended Learning and Discovery Lab, known as BOLD, will be led by Associate Professor Jakob Foerster at Oxford, in collaboration with UCL and Imperial College London. It will explore AI systems that can learn more efficiently, adapt to new situations and operate in physical environments.

Each lab will receive £2 million to recruit at least 10 doctoral students, supporting the UK’s AI talent pipeline. The labs will also work with existing UK AI research organisations, including the Alan Turing Institute and UKRI’s AI research hubs.

The funding forms part of UKRI’s wider AI strategy, a £1.6 billion plan to strengthen the UK’s AI research and innovation capacity over the next four years.

Why does it matter?

The investment shows the UK trying to compete in AI through fundamental research, open-source methods and efficient systems rather than only through larger datasets and more computing. By funding labs focused on reliability, lower-cost deployment and widely available hardware, the government is trying to make advanced AI more usable beyond large technology companies. The policy also links AI research to national capability, resilience and a domestic talent pipeline.

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Cloudflare and beehiiv add AI crawler controls for newsletter publishers

Cloudflare and beehiiv have added AI crawler controls to the beehiiv newsletter platform, giving publishers more visibility over how AI bots access their content.

The integration embeds Cloudflare’s AI Crawl Control technology into beehiiv, allowing newsletter operators to monitor AI crawler activity and decide whether to allow or block access to their work.

The companies said the tool is designed for creators choosing between two strategies: increasing discovery through AI search engines and agents, or protecting content archives for future monetisation and licensing opportunities.

The new dashboard will show which AI crawlers attempt to access a publisher’s content, which are blocked, and how much referral traffic those crawlers send back to the newsletter.

AI Crawl Control will be available to all beehiiv users in beta. beehiiv Max customers will also be able to block AI crawlers and set permissions for how their content is accessed across the AI ecosystem.

Cloudflare and beehiiv said the integration eliminates the need for publishers to manually manage technical settings, such as robots.txt files and firewall rules. The system is also expected to update as new AI crawlers emerge.

Why does it matter?

The partnership shows how AI content access is becoming a practical governance issue for smaller publishers, not only large media companies. As AI search engines and agents change how online content is discovered and reused, creators need tools to see who is crawling their work, what traffic is returned, and whether access supports or undermines their business model. The integration also reflects a broader shift towards permission-based content access in the AI era.

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MIT experts examine AI’s impact on work and democracy

MIT researchers have examined how AI is reshaping employment, democratic processes and everyday social life during the institute’s AI and Society Forum.

The forum brought together researchers from across MIT to discuss the benefits and risks of AI for work, civil discourse, election administration and other areas of public life.

MIT economist David Autor challenged the view that AI will eliminate jobs. He argued that the impact of AI on labour will depend on whether the technology makes human expertise more valuable or turns it into a commodity.

Speakers said AI could improve productivity and support new forms of work, but warned that its effects will vary across sectors and require proactive policies on training, worker support and adaptation.

A separate session focused on democracy and elections. MIT researcher Chara Podimata presented work auditing large language models for bias in election information. A study of 12 major models during the 2024 US presidential election season found that chatbot responses varied significantly depending on users’ stated demographics and political leanings.

Participants warned that AI could disrupt election processes, undermine trust and weaken democratic norms if systems are deployed without transparency and accountability. However, they also pointed to possible benefits, including tools that support deliberation and help people reflect on their views.

The forum highlighted the need for interdisciplinary research and governance as AI becomes more deeply embedded in workplaces, public institutions and democratic life.

Why does it matter?

The MIT discussion reinforces that AI’s social impact will depend less on the technology alone and more on how it is designed, deployed and governed. Employment effects, election integrity, public trust and democratic participation are now central AI policy questions. The forum also shows why technical research needs to be connected with economics, political science, ethics and institutional design.

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NVIDIA unveils Vera Rubin supercomputing platform for AI and science

NVIDIA has introduced the Vera Rubin platform, a new supercomputing architecture designed to accelerate scientific research, AI development and large-scale data analysis. NVIDIA says a single rack of the system can deliver performance comparable to some of the world’s most powerful supercomputers.

The platform combines NVIDIA Rubin GPUs, Vera CPUs and high-speed networking technologies to support advanced simulations, AI training and data-intensive research workloads. With more than 7 exaflops of AI performance and 5 petaflops of native FP64 computing power, Vera Rubin is aimed at demanding workloads including climate modelling, computational fluid dynamics, and quantum chemistry.

Several leading research institutions have already announced plans to deploy systems based on the platform. Planned installations include the Blue Lion system at the Leibniz Supercomputing Centre, the Doudna supercomputer at Lawrence Berkeley National Laboratory, and new systems at Los Alamos National Laboratory.

According to NVIDIA, Vera Rubin will provide a unified environment for simulation, AI training, inference, and data processing, enabling researchers to tackle increasingly complex scientific and industrial challenges. Commercial availability is expected later this year.

Why does it matter?

Vera Rubin highlights the growing convergence of AI and high-performance computing, allowing researchers to run advanced simulations, analyse vast datasets, and train AI models on a single platform.

Greater computing power can accelerate breakthroughs in fields such as climate science, energy, healthcare, and materials research, reducing the time and cost required to solve complex scientific problems while strengthening global competitiveness in AI and advanced technology.

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EU launches ADACities for autonomous driving

The European Commission has launched the Autonomous Drive Ambition Cities initiative to support the deployment of autonomous driving technologies in cities across the EU.

The initiative, known as ADACities, was announced by Executive Vice-President Henna Virkkunen during the first international forum of the European Connected and Autonomous Vehicle Alliance in Brussels.

The Commission said ADACities will serve as a mobility flagship under the Apply AI Strategy, allowing selected EU cities to become real-world deployment sites for autonomous mobility innovation.

The initiative will support technologies such as robo-taxis, car-sharing services, autonomous shuttles for multimodal urban mobility and advanced self-driving cars. Participating cities will target fleets of 100 or more autonomous vehicles by 2030.

The Commission said partnerships supported by ADACities should be EU-centric, with European vehicle manufacturers and technology providers at the core, while still allowing international collaboration.

The initiative is also linked to the EU Technological Sovereignty Package. The Commission said autonomous driving deployment will draw on European capabilities in semiconductors, sovereign cloud and data infrastructure, AI Factories and open-source technologies.

ADACities builds on a joint declaration of intent to create a cross-border testbed for automated vehicle deployment. The Commission has opened a call for expressions of interest and will hold an online information session for cities and stakeholders.

Why does it matter?

ADACities shows how the EU is treating autonomous driving as part of AI deployment, urban mobility and industrial competitiveness, not only as a transport technology. By linking autonomous mobility to sovereign cloud, semiconductors, data infrastructure and AI Factories, the Commission is framing city-level deployment as a test of Europe’s ability to turn AI and automotive expertise into scalable public services. The initiative also raises governance questions around safety, liability, infrastructure readiness, data use and public trust.

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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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NVIDIA launches robotics safety platform for autonomous AI systems

NVIDIA has unveiled Halos for Robotics, a new safety platform designed to support the deployment of autonomous robots and physical AI systems in industrial environments.

The announcement reflects growing industry attention to safety, governance and certification as AI-powered machines increasingly operate alongside human workers in factories, warehouses and logistics facilities.

NVIDIA describes Halos as a full-stack safety architecture that combines AI computing infrastructure, safety software, sensor integration and certification support.

The platform adapts technologies originally developed for autonomous vehicles, providing robotics developers with a common framework for designing, testing and validating safety-critical systems.

NVIDIA argues that standardised safety architectures will become increasingly important as robots gain greater autonomy and decision-making capabilities.

A key element of the launch is the participation of Agility, whose humanoid robot Digit is already being deployed in industrial settings. Agility will integrate components of Halos into its existing safety systems while working with NVIDIA’s newly established AI Systems Inspection Lab to pursue independent certification against international safety standards.

Why does it matter?

The announcement reflects the growing convergence of AI and robotics as autonomous systems move from controlled testing environments into real-world industrial operations. As robots gain greater autonomy and interact more directly with people, safety assurance, certification and risk management are becoming as important as performance and capability.

The launch also highlights a broader governance challenge for physical AI. Unlike generative AI systems that primarily operate in digital environments, autonomous robots can directly affect physical safety, workplace operations and critical infrastructure. Common safety architectures, certification frameworks and industry standards could therefore play an increasingly important role in building trust and supporting the large-scale deployment of AI-powered machines.

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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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