UK Treasury highlights economic value of cyber resilience

HM Treasury has published a report arguing that cyber resilience in financial services should be treated as a strategic capability rather than simply a compliance requirement or technical cost.

The report, The Value of Resilience: Cyber Resilience in Financial Services, brings together evidence on the economic and operational value of resilience, focusing on the growing impact of cyber disruption across the financial sector.

The report argues that cyber risk has intensified as financial institutions become more dependent on digital infrastructure, third-party providers, cloud services and shared technologies. It cites the Bank of England’s 2026 H1 Systemic Risk Survey, in which 82% of UK banks, insurers and asset managers identified cyberattacks as one of the financial system’s a top five risks.

HM Treasury also cites National Cyber Security Centre data showing a sharp rise in nationally significant cyber incidents during 2024–25. Highly significant incidents increased by 50% year on year, while nearly half of all incidents handled by the NCSC met the threshold for national significance.

The financial impact can be considerable. KPMG Cyber Risk Insights modelling cited in the report estimates plausible worst-case annual ransomware losses of more than £230 million for mid-sized financial firms and around £466 million for large institutions, illustrating how average loss estimates can underestimate severe but plausible cyber events.

Beyond direct financial losses, the report links major cyber incidents to operational disruption, reputational damage, lost revenue and reduced investor confidence, noting that affected firms may underperform the market for a year or longer.

At the same time, HM Treasury argues that stronger cyber resilience can reduce both the likelihood and impact of disruption through earlier detection, faster containment, more effective escalation procedures, recovery planning, service prioritisation and fallback arrangements.

The report also presents resilience as a driver of growth rather than simply a defensive measure. Citing Accenture research, it argues that highly resilient organisations generate faster revenue growth, achieve stronger profit margins and are better positioned to modernise systems, adopt AI and pursue digital transformation without disruption undermining progress.

Why does it matter?

The report reframes cyber resilience as a source of competitive advantage rather than simply a risk management function. For financial institutions, stronger resilience is presented not only as a way to protect customers and market confidence, but also as an enabler of AI adoption, digital transformation and long-term business performance.

The findings also reflect a broader shift in cyber policy. As financial services become increasingly dependent on cloud infrastructure, AI and interconnected digital ecosystems, regulators are treating operational resilience as a strategic capability that underpins both financial stability and economic growth.

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Japan reviews AI search use of news content

Japan’s Fair Trade Commission has launched a review of how generative AI search services use news content, examining concerns over unauthorised use of articles and compensation for publishers. The survey will gather information from around 370 domestic news organisations, including newspapers, publishers, broadcasters and news agencies.

The review will also include discussions with major technology companies, including Google and LY Corp. Regulators want to understand how AI-powered search services access, display and potentially monetise news content produced by publishers.

A key focus is the growth of zero-click searches, where users receive AI-generated summaries without visiting the original publisher’s website. News organisations argue that the trend could reduce traffic, advertising revenue and incentives to invest in professional journalism.

The Commission will assess whether any practices breach Japan’s Antimonopoly Act, including through the abuse of a dominant market position. Its findings could shape future policies on AI content use, publisher compensation and competition in digital media markets.

Why does it matter?

Generative AI search is reshaping how people discover news by increasingly providing answers directly within search results. While this may improve convenience for users, it also raises concerns that publishers could lose traffic, advertising revenue and the economic incentives needed to sustain quality journalism.

Japan’s review reflects a broader international debate over how AI companies should use and compensate for news content. The outcome could influence future competition policy, licensing arrangements and the relationship between AI-powered search services and media organisations.

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European Parliament updates Digital Agenda for Europe factsheet

The European Parliament has updated its factsheet on the Digital Agenda for Europe, outlining how the EU’s digital policy has shifted from setting strategic goals to implementing rules on platforms, data, digital identity, AI and cybersecurity.

The factsheet says digital platforms and emerging technologies continue to reshape how Europeans work, communicate, shop and learn. Since 2024, the EU has focused on implementing legislation designed to strengthen digital security, promote fair competition and support digital sovereignty alongside the green transition.

The updated overview of the Digital Agenda for Europe situates current policy within a longer trajectory, from the 2010 Digital Agenda and the 2015 Digital Single Market strategy to the 2030 Digital Compass and the Digital Decade framework. Together, these initiatives set targets for digital skills, public services, business transformation and resilient digital infrastructure.

The document highlights several core policy areas. On data, it points to the EU’s framework built around the GDPR, the Data Governance Act and the Data Act. On AI, it notes that the AI Act has been in force since August 2024, with its provisions applying in stages under the oversight of the EU AI Office.

The factsheet also identified the Digital Services Act (DSA) and Digital Markets Act (DMA) as key pillars of the EU’s digital single market. It notes that the DSA has applied in full since February 2024, while DMA enforcement intensified in 2025 with the first fines imposed on designated gatekeepers.

Cybersecurity is another major focus. The document highlights the expanded scope of the NIS2 Directive, the Cyber Resilience Act, which entered into force in December 2024, and the Cyber Solidarity Act, aimed at strengthening EU-wide cyber detection and incident response.

The update also highlights digital identity, interoperability, platform work, media freedom, digital education and infrastructure resilience as continuing priorities within the EU’s broader digital policy agenda.

Why does it matter?

The update illustrates how the EU’s digital strategy has entered a new phase focused on implementation rather than legislation. With most of its major digital laws now in force, attention is shifting from adopting new rules to enforcing them consistently across member states and ensuring they deliver tangible results.

That shift is significant because the success of the EU’s digital agenda will increasingly be judged by its practical impact on competition, cybersecurity, AI governance, digital sovereignty and the functioning of the single market, rather than by the number of new regulatory initiatives.

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ILO urges skills investment as AI reshapes ASEAN workforce

The International Labour Organization (ILO) has published a report examining how generative AI (GenAI) is reshaping labour markets across the Association of Southeast Asian Nations (ASEAN).

The study estimates that nearly 80 million workers, representing 22.9% of total employment in the region, work in occupations with more than minimal potential exposure to GenAI. However, the ILO stresses that there is currently no evidence of large-scale job displacement.

Only 3.3% of ASEAN workers, around 11.7 million people, are employed in occupations with the highest level of GenAI exposure, while roughly two-thirds of employment remains in occupations with no identified exposure.

Employment in highly exposed occupations has continued to grow, suggesting that AI is transforming work rather than replacing jobs at scale. The report also notes that adoption remains concentrated in technology-intensive sectors and is still relatively limited in many administrative occupations despite their high exposure.

The report identifies significant differences across ASEAN economies. Singapore has the highest share of workers with more than minimal GenAI exposure at 42.2%, followed by the Philippines (28.1%), Indonesia (21.7%), Vietnam (20.8%), and Thailand (20.6%).

The ILO also highlights a notable gender gap, with women more than twice as likely as men to work in highly exposed occupations because they are more heavily represented in clerical, administrative and professional roles. By contrast, exposure levels are broadly similar across younger and older working-age groups.

To maximise the benefits of AI while limiting potential risks, the ILO calls for human-centred AI governance, expanded upskilling and reskilling programmes, stronger support for micro, small and medium-sized enterprises (MSMEs), and closer regional cooperation on skills development.

The report argues that future labour market outcomes will depend less on AI exposure itself than on policy choices that strengthen the preparedness and resilience of workers, businesses and institutions.

Why does it matter?

The report challenges the assumption that generative AI will rapidly eliminate large numbers of jobs across Southeast Asia. Instead, it suggests AI is more likely to reshape existing occupations, with the scale of change depending on how quickly workers, businesses and governments adapt.

The findings also highlight that AI adoption is ultimately a policy challenge as much as a technological one. Investments in skills, workforce transitions and responsible AI governance will play a decisive role in determining whether AI improves productivity and job quality or widens existing inequalities across the region.

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UN explores how AI can scale human rights implementation

Digital tools and AI can help governments turn thousands of human rights recommendations into concrete action, but only if technology remains firmly guided by human expertise and institutional cooperation, speakers concluded during a WSIS Forum 2026 session on scaling digital tools for human rights monitoring.

The discussion brought together representatives from Costa Rica, the Office of the UN High Commissioner for Human Rights (OHCHR), academia, and civil society to examine how digital platforms, AI-assisted analysis, and improved data management can enhance the implementation of recommendations issued by UN human rights mechanisms.

Costa Rica shares experience with recommendation tracking

Opening the discussion, Domenico Zipoli, Head of Programmes at the Geneva Human Rights Hub, noted that governments receive thousands of recommendations every year from treaty bodies, the Universal Periodic Review (UPR), special procedures, and regional mechanisms, making implementation increasingly difficult without digital support.

Costa Rica’s Roberto Cespedes, Chargé d’Affaires at the country’s mission to the UN in Geneva, explained how the National Recommendations Tracking Database (NRTD) has transformed the country’s follow-up process.

Costa Rica established its National Mechanism for Implementation, Reporting and Follow-up (NMIRF) in 2011, bringing together ministries, parliament, the judiciary, and the national human rights institution. However, for years, the mechanism lacked an effective technological platform capable of managing recommendations from multiple international processes.

‘The database has significantly improved visibility of recommendations across institutions,’ Cespedes said.

He highlighted the tool’s ability to cluster recommendations by topic, enabling ministries to identify shared responsibilities and collaborate more effectively. Rather than working in isolation, institutions increasingly recognise the need for coordinated implementation.

Costa Rica is also working to expand access beyond government. Cespedes said civil society organisations are expected to gain direct access to the platform, allowing them to monitor implementation, provide feedback, and strengthen transparency.

OHCHR: AI can assist, but humans remain indispensable

Presenting the UN perspective, Marie Eve Boyer, Human Rights Officer at OHCHR, explained that the NRTD was developed to address the fragmentation of international human rights recommendations.

Built on the Universal Human Rights Index, the platform enables governments to consolidate recommendations, assign responsibilities across ministries, monitor progress, and prepare reports more efficiently.

Boyer noted that 20 countries are already using the NRTD, while another 40 are waiting for deployment.

She argued that AI has significant potential to support implementation by identifying relevant information, clustering recommendations, highlighting data gaps, and scaling reporting processes. However, she stressed that technology cannot replace human judgement.

‘AI can help process information, but it cannot understand the reality experienced by communities,’ she said, adding that contextual expertise remains essential when assessing whether recommendations have genuinely been implemented.

She also warned against viewing digital tools as substitutes for strong institutions, arguing that successful implementation depends on sustained human engagement alongside technological innovation.

Generative AI opens new possibilities for legal experts

Offering an academic perspective, Lukasz Szoszkiewicz, Assistant Professor at Adam Mickiewicz University in Poznań, demonstrated several prototype tools built using natural language processing and generative AI.

His projects include searchable databases of UN treaty body jurisprudence, analytical dashboards for the Universal Human Rights Index, and paragraph-level search tools for European Court of Human Rights decisions.

Szoszkiewicz argued that generative AI is fundamentally changing software development by enabling lawyers, researchers, and other domain experts to build specialised digital tools themselves rather than relying solely on IT teams.

‘Domain experts now have the possibility to develop tools that match exactly what they need,’ he explained.

He also addressed concerns about AI hallucinations, recommending that large language models be used primarily to generate deterministic software code rather than directly analysing sensitive datasets. This approach, he said, produces more reliable and verifiable results while reducing the likelihood of inaccurate outputs.

Better data still needed to measure real-world outcomes

Audience interventions highlighted persistent challenges surrounding data availability and measuring whether human rights recommendations actually improve people’s lives.

Representatives from civil society organisations working on torture prevention and disability rights pointed to the difficulty of obtaining reliable outcome data, particularly in countries where governments do not systematically publish relevant information.

Responding to these concerns, Boyer said OHCHR is exploring minimum datasets that could help governments monitor implementation more consistently while aligning human rights indicators with the Sustainable Development Goals.

Cespedes added that AI could eventually help governments identify positive actions that officials may not even realise correspond to international recommendations, making implementation more visible and easier to document.

Throughout the session, speakers agreed that AI and digital platforms should be viewed as tools to strengthen human rights implementation rather than replace human oversight. They concluded that meaningful progress will depend on better data, stronger institutional cooperation, and continued collaboration between governments, international organisations, academia, and civil society.

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Universal acceptance key to multilingual internet, UNESCO and ICANN say

The internet cannot be truly inclusive until every valid domain name and email address works regardless of language or script, speakers said during a WSIS Forum 2026 session marking the launch of UNESCO and ICANN’s joint policy brief on universal acceptance (UA). The discussion brought together representatives from UNESCO, ICANN, and the Organisation Internationale de la Francophonie (OIF), who argued that multilingual internet infrastructure has become increasingly important not only for digital inclusion but also for the future development of AI.

While internationalised domain names (IDNs) and multilingual email addresses have long been supported by global technical standards, implementation remains far from complete. Speakers stressed that closing this gap now requires stronger political commitment, procurement policies, and coordinated action from governments, industry, academia, and civil society.

Technical standards exist, but implementation lags

Opening the session, UNESCO’s Guilherme Canela argued that multilingualism is about much more than preserving languages, it is about enabling full participation in digital society.

‘A multilingual internet expands access to information, education, services, innovation, and opportunity,’ he said, noting that many websites and online services still fail to recognise or process domain names and email addresses written in local languages and scripts.

ICANN’s Theresa Swinehart echoed that message, describing universal acceptance as a practical challenge that can be solved rather than a technological limitation. She highlighted ICANN’s work on multilingual internet infrastructure, including the delegation of more than 150 internationalised top-level domains covering 37 languages and 23 scripts, alongside efforts to improve compatibility across software platforms and open-source projects.

Dr Sarmad Hussain, Senior Director for IDN and UA Programmes at ICANN, illustrated the scale of the remaining challenge with new data. A survey of around 1,000 websites across 20 countries found that, on average, only 12% accepted email addresses written in local languages. Meanwhile, fewer than 30% of the world’s email servers currently support internationalised email addresses.

‘The technology and standards already exist,’ Hussain explained. ‘The problem is that many applications and websites have simply not been updated to support them.’

UNESCO–ICANN policy brief offers roadmap

A central focus of the session was the launch of the joint UNESCO–ICANN policy brief Advancing Universal Acceptance of All Domain Names and Email Addresses for Multilingual Internet.

Presenting the document, UNESCO’s Xianhong Hu argued that achieving universal acceptance requires much more than technical upgrades. The policy brief identifies gaps in awareness, policy, capacity development, and implementation, while providing tailored recommendations for governments, international organisations, civil society, academia, technical communities, and language communities.

Hu also stressed that multilingual internet infrastructure has become increasingly important in the AI era.

‘Without universal acceptance, AI systems learn from a narrower and less representative digital environment,’ she said, warning that languages excluded from today’s internet infrastructure risk remaining underrepresented in tomorrow’s AI models.

The brief also introduces measurement frameworks that governments and organisations can use to monitor progress. UNESCO plans to integrate UA into the sixth monitoring cycle of its Recommendation on the Promotion and Use of Multilingualism, with national reports due in 2027.

Multilingual internet increasingly linked to AI governance

Several speakers argued that universal acceptance should no longer be viewed as a niche technical issue but as part of broader AI governance discussions.

Henri Monceau of the Organisation Internationale de la Francophonie said multilingual internet infrastructure directly influences which languages become visible in AI training datasets.

‘The richer and more linguistically diverse the internet becomes, the richer and more representative AI systems can become,’ he said, warning that languages marginalised online today may also be marginalised in future AI applications.

Speakers therefore called for governments to include universal acceptance in national digital transformation and AI strategies, alongside procurement requirements that encourage software developers to build multilingual support from the outset.

ICANN also highlighted its growing capacity-building efforts, including more than 200 UA Day events organised across 86 countries in 42 languages, reaching over 29,000 participants. The organisation is also working with universities in Bahrain, Mexico, India, Zimbabwe, Bolivia, and other countries to integrate universal acceptance into computer science curricula so future software developers build multilingual support by default.

End users and local communities remain central

Audience questions focused on ensuring that end users, not only technical communities, remain at the centre of universal acceptance efforts, as well as whether growing interest in AI sovereignty could conflict with broader multilingual accessibility.

Responding to these concerns, Canela argued that locally developed AI models and universal acceptance should reinforce rather than compete with one another. Smaller language models designed for specific communities, he said, can strengthen both linguistic diversity and digital inclusion while requiring fewer computing resources.

Panellists agreed that the success of universal acceptance ultimately depends on collaboration across governments, industry, academia, civil society, and local language communities. They concluded that making every valid domain name and email address work equally across the internet is no longer simply a technical objective, but a prerequisite for a multilingual, inclusive, and AI-ready digital future.

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SpaceXAI launches Grok 4.5 for coding and agentic tasks

SpaceXAI has introduced Grok 4.5, its latest model for coding, agentic tasks and knowledge work.

The company describes Grok 4.5 as its most capable model to date, trained for real-world engineering, software development, science and mathematics tasks.

According to SpaceXAI, the model was trained across tens of thousands of NVIDIA GB300 GPUs, using data filtering, curation and reinforcement learning focused on multi-step technical work.

The company says Grok 4.5 can complete complex coding tasks and build functional applications from a single prompt.

Beyond software development, Grok 4.5 is designed to support knowledge-work tasks in Grok Build, including Excel modelling, PowerPoint slide design and Word document drafting.

SpaceXAI said the model serves up to 80 tokens per second and offers greater token efficiency than comparable leading models on selected tasks.

Grok 4.5 is available through Grok Build, Cursor and the SpaceXAI console. It is priced at $2 per million input tokens and $6 per million output tokens.

The company said Grok 4.5 is not yet available in the EU through its products or API console, with the EU availability expected in mid-July.

Why does it matter?

Grok 4.5 shows how frontier AI competition is moving towards practical agentic work, not only general chatbot performance. Coding, spreadsheet modelling, document creation and application-building are becoming key battlegrounds for AI providers targeting enterprise and professional users. The model’s pricing and claimed token efficiency also show growing pressure on AI companies to compete on cost and speed as much as benchmark performance.

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ECB urges banks to prepare for AI cyber threats

The European Central Bank has called on major euro area banks to prepare action plans to address AI-enabled cybersecurity threats.

In a letter to bank CEOs, ECB Banking Supervision said emerging AI models can identify software vulnerabilities and generate functioning exploits at unprecedented speed.

The ECB warned that AI is compressing the time between vulnerability discovery and exploitation, with potentially serious implications for the confidentiality, integrity and resilience of banks’ ICT systems.

The central bank said the change is a long-term shift in the threat landscape, not a temporary risk linked to a single tool.

Banks have been asked to submit action plans to their Joint Supervisory Teams by 31 October 2026.

The plans should set out concrete measures, resources, roles, responsibilities and implementation timelines for strengthening cyber resilience.

Short-term priorities include faster vulnerability and patch management, stronger monitoring and detection, AI-enabled defensive capabilities and updated third-party risk management.

The ECB also called for structural measures such as defence-in-depth, improved cyber hygiene, infrastructure modernisation, crisis management, recovery arrangements and information-sharing.

The letter follows a European Systemic Risk Board warning about systemic cyber risks posed by frontier AI models.

ECB Banking Supervision also said it will address cybersecurity risks linked to quantum computing in a separate letter.

Why does it matter?

The ECB letter turns AI-enabled cyber risk into a concrete supervisory issue for major euro area banks. If AI accelerates vulnerability discovery and exploit generation, banks will face shorter windows for patching, detection and response. The focus on third-party providers and supply chains is also important because financial institutions depend heavily on external ICT services. The ECB’s approach links AI cyber threats with DORA-style operational resilience, showing that advanced AI is now part of mainstream financial supervision.

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African leaders push for homegrown AI and value creation at WSIS Forum

African experts and industry leaders used the WSIS Forum 2026 to argue that the continent must move beyond digital inclusion towards digital sovereignty, calling for greater investment in industrial capacity, locally developed AI, and value creation from Africa’s own resources and data rather than continued dependence on foreign technologies.

The session, ‘From Digital Inclusion to Digital Sovereignty: Building Capacity, Infrastructure, and Governance for Sustainable Digital Transformation,’ explored how Africa can become not only a user of AI and Industry 4.0 technologies, but also a producer of digital value. Moderated by Adelina Zeqiri of the University of Côte d’Azur, the discussion featured Professor Sama Mbang, Jean Bosco Byiringoro, and Professor Adel Ben Youssef, all founding members of the Alliance for Industry 4.0 and Smart Manufacturing in Africa (ASMA).

Industrialisation remains the foundation of development

Opening the discussion, Professor Sama Mbang argued that Africa risks falling further behind unless it accelerates industrialisation alongside digital transformation.

Drawing on his experience implementing Industry 4.0 solutions in manufacturing, Mbang stressed that industrial development remains the common denominator among prosperous economies.

‘There is no developed country that is not industrialised,’ he argued, adding that industrialisation creates the skills, technology, and productive capacity needed for long-term prosperity.

Mbang introduced ASMA as a platform designed to connect governments, industry, academia, and technical experts around practical projects in smart manufacturing, health, mining, automotive production, agriculture, and digital technologies.

He also highlighted the continent’s long-standing imbalance in global value chains. Although Africa possesses around 68% of the world’s critical minerals, it captures less than 1% of the value added from their processing. Similar disparities exist in pharmaceuticals, where Africa exports raw materials while importing most finished medicines.

According to Mbang, AI should support industrialisation, not replace it.

‘Sometimes talking about AI shifts attention away from the real challenge,’ he observed. ‘Africa first needs the capability to manufacture and transform locally.’

Building African AI for African realities

The discussion repeatedly returned to the distinction between adopting AI and developing AI that reflects African contexts.

Jean Bosco Byiringoro, professor of mechatronics and founder of ASMA, argued that importing models developed elsewhere will not solve Africa’s development challenges because they are built for different industrial environments.

‘What we need is not to import the model,’ he said. ‘We need to build our own model in the African context.’

Byiringoro argued that human capital is the continent’s greatest priority. Rather than focusing solely on software, African countries need engineers, technicians, manufacturers, and researchers capable of building AI systems rooted in local industries and value chains.

He illustrated this through agricultural projects that use digital representations of industrial equipment to help farmers understand production processes and develop new business opportunities. His organisation has already helped more than 2,000 people move into industrial employment through such initiatives.

Africa’s resources create new opportunities

Professor Adel Ben Youssef challenged participants to avoid viewing Africa as a single market, reminding the audience that the continent comprises 54 countries with diverse economic realities.

He nevertheless identified several shared competitive advantages.

Africa’s rapidly growing population, abundant renewable energy resources, and what he described as a ‘last mover advantage’ could allow countries to leapfrog older industrial models and build more sustainable digital infrastructure.

Rather than remaining dependent on foreign data centres, Ben Youssef argued that Africa could become a global location for digital infrastructure powered by renewable energy.

‘The real obstacle is not energy,’ he said. ‘It is political stability.’

He also warned that Africa’s creative industries face a growing threat as cultural content, artistic works, and local knowledge are increasingly used to train AI models without consent or compensation.

‘Most African creative content is being scraped to train AI models,’ he noted, arguing that this represents both an economic and cultural sovereignty challenge.

Human capital before regulation

Audience questions turned to data governance, with participants asking whether Africa should pursue GDPR-style regulation to protect its growing digital economy.

The panellists urged caution.

Ben Youssef argued that simply copying Europe’s General Data Protection Regulation would ignore Africa’s very different economic realities, particularly the importance of informal economies.

Instead, he called for flexible, sector-specific governance frameworks adapted to local contexts and accompanied by fair mechanisms for sharing the economic value generated from African data.

Mbang went further, arguing that the continent’s immediate priority should be creating value rather than replicating regulatory frameworks developed elsewhere.

‘Our fight today is not GDPR,’ he said. ‘Our fight is creating value locally instead of exporting raw materials and importing finished products.’

Byiringoro agreed, insisting that strong regulation can only emerge once countries have developed the human capital and industrial capabilities worth protecting.

Digital sovereignty through collaboration

The discussion concluded with an invitation to governments, universities, businesses, and international organisations to participate in ASMA’s growing network, including its inaugural conference in Dakar later this year.

While the session focused on Africa, speakers stressed that digital sovereignty should not be viewed as economic isolation or geopolitical competition.

Instead, they argued that enabling Africa to capture more value from its own resources, industries, and knowledge would strengthen global prosperity rather than diminish it.

Across the discussion, a consistent message emerged: AI alone will not transform Africa unless it is accompanied by investment in manufacturing, skills, infrastructure, and local innovation. For the panellists, digital sovereignty begins not with owning algorithms, but with building the industrial and human foundations that allow countries to shape their own digital future.

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Swiss AI users report stronger workplace gains, Microsoft says

Swiss AI users are reporting stronger workplace productivity gains than their global peers, according to Microsoft’s 2026 Work Trend Index.

The company said 65% of AI users in Switzerland say they can now produce higher-value analytical and creative work that would not have been possible a year ago, compared with 58% globally.

The results point to a growing divide between organisations that introduce AI tools and those that redesign work around AI.

Among Swiss Frontier Professionals, defined by Microsoft as workers in organisations that embed AI into workflows and redesign how work gets done, 83% say AI has expanded the type of work they can produce.

Leadership alignment remains a challenge. Only 24% of Swiss AI users say their leaders are clearly and consistently aligned on AI strategy.

Microsoft said almost half of Swiss AI users feel it is safer to focus on current goals than to redesign workflows with AI in mind.

Swiss workers also emphasised human oversight. Some 84% treat AI output as a starting point rather than a final answer, while 46% identify quality control of AI output as a critical skill.

Microsoft said the next phase for Swiss organisations will involve moving from individual AI use to organisation-wide deployment, shared team capabilities and AI agents embedded in core workflows.

Why does it matter?

The Microsoft data suggests that workplace AI benefits depend less on tool availability and more on how organisations redesign workflows, train staff and set clear leadership priorities. The Swiss figures also show why human oversight remains central: productivity gains are linked to workers using AI as support, not as a replacement for judgement. For policymakers and employers, the broader issue is how to build AI skills and organisational capacity so productivity gains do not remain concentrated among the most advanced firms and workers.

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