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European AI Competitiveness Beyond Frontier Models: Insights From AI Startups in Five Strategic Markets

Nicole Lemke

Berlin: Interface – Tech Analysis and Policy Ideas for Europe (2026), 37 pp.

"AI development is frequently described as a race for frontier models. But considerable economic value will also be generated by AI development and adoption in existing markets. This data brief examines where EU competitiveness stands in the five applied markets where most of the EU’s AI startup a ... ctivity in our dataset takes place – horizontal enterprise software, healthcare and life sciences, manufacturing and supply chain, finance and insurance, and research and development tools. Drawing on data from Dealroom.co covering 24,468 active AI startups launched between 2012 and 2025 across the EU, Switzerland, the UK, and the U.S., we compare geographic patterns at the level of regions, countries, and cities through original analysis [...] Manufacturing and supply chain is the only market where the EU accounts for a larger share of AI startups than the U.S., though our data likely underestimates the number of U.S. startups in general. This suggests the competitiveness gap across applied AI markets may be even larger than our data indicates [...] AI startup activity in the EU is geographically dispersed: 75 percent of analysed EU AI startups are spread across 95 cities, with no single hub dominating any market. Paris, Berlin, Amsterdam, Munich, and Stockholm are the largest hubs but together account for only a quarter of EU AI startups. EU city rankings across markets largely reflect general AI startup hub sizes rather than genuine market specialisation – but specialised niches do begin to emerge at the local level, e.g. Munich in manufacturing and supply chain and Barcelona in healthcare and life sciences. As our data skews towards larger startup hubs, specialisation patterns in smaller cities and regions may not be fully captured. Our findings have important implications for policymakers. Europe's challenges in AI competitiveness extend well beyond frontier models. The manufacturing and supply chain market, a strategic priority for the European Commission, presents grounds for cautious optimism, where existing industrial strengths align with national and regional specialisation signals based on AI startup activity, especially in Germany and Munich. The geographically distributed startup activity in the EU can support AI adoption across diverse regional economies and existing industrial strengths. At the same time, it raises questions about whether European hubs can achieve the scale and specialisation needed to compete globally. The technological diversity of AI also presents competitive opportunities that go beyond market specialisation alone. Whether the emerging specialisation patterns identified in this analysis develop into globally competitive positions will depend on continued access to growth capital, compute resources, and cross-border market integration." (Executive summary, pages 3-4) more

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Preserving Human Voices and Faces. Message of his Holiness Pope Leo XIV for the 60th World Day of Social Communication

Leo XIV (Pope)

Vatican City: Holy See, January 24 (2026)

"The task laid before us is not to stop digital innovation, but rather to guide it and to be aware of its ambivalent nature. It is up to each of us to raise our voice in defense of human persons, so that we can truly assimilate these tools as allies. This alliance is possible, but needs to be based ... on three pillars: responsibility, cooperation and education. First of all, responsibility. Depending on the role we play, responsibility can be understood as honesty, transparency, courage, farsightedness, the duty of sharing knowledge or the right to be informed. As a general principle, however, no one can elude personal responsibility for the future we are building. For those at the helm of online platforms, this means ensuring that their business strategies are not guided solely by the criterion of profit maximization, but also by a forward-looking vision that considers the common good, just as each of them cares for the well-being of their own children. The creators and developers of AI models are invited to practice transparency and socially responsibility in regard to the design principles and moderation systems underlying their algorithms and the models they develop, in order to promote informed consent on the part of users. The same responsibility is also required of national legislators and supranational regulators, whose task it is to ensure respect for human dignity. Appropriate regulation can protect individuals from forming emotional attachments to chatbots and curb the spread of false, manipulative or misleading content, safeguarding the integrity of information as opposed to its deceptive simulation. [...] We are all called upon to cooperate. No sector can tackle the challenge of steering digital innovation and AI governance alone. Safeguards must therefore be put in place. All stakeholders — from the tech industry to legislators, from creative companies to academia, from artists to journalists and educators — must be involved in building and implementing informed and responsible digital citizenship. Education aims to do precisely this: To increase our personal ability to think critically; evaluate whether our sources are trustworthy and the possible interests behind selecting the information we have access to; to understand the psychological mechanisms involved; and to enable our families, communities and associations to develop practical criteria for a healthier and more responsible culture of communication. For this reason, it is increasingly urgent to introduce media, information and AI literacy into education systems at all levels, as already promoted by some civil institutions. As Catholics, we can and must contribute to this effort, so that individuals — especially young people — can acquire critical thinking skills and grow in freedom of spirit. This literacy should also be integrated into broader lifelong learning initiatives, reaching out to older adults and marginalized members of society, who often feel excluded and powerless in the face of rapid technological change. Media, information and AI literacy will help individuals avoid conforming to the anthropomorphizing tendencies of AI systems, and enable them to treat these systems as tools and always employ external validation of the sources provided by AI systems — which could be inaccurate or incorrect. Literacy will also allow for better privacy and data protection through increased awareness of security parameters and complaint options." (https://www.comunicazione.va/en/giornata-mondiale-comunicazioni-sociali/gmcs-2026/gmcs-2026-messaggio.html) more

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Societies at an AI Crossroads: Choices and Value Conflicts

Ignas Kalpokas, Julija Kalpokienė

London; New York: Routledge (2026), 116 pp.

"As contemporary societies undergo profound transformations driven by artificial intelligence and related technologies, a unilinear vision of inevitable ‘progress’ and development increasingly dominates public discourse. This book offers a counterpoint, challenging such deterministic narratives ... more

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Toward AI Governance Alignment in Africa, Middle East, and Türkiye (AMET) Region

Emma Ruttkamp-Bloem, Fola Adeleke, Jake Effoduh, Kebene Wodajo, Nagla Rizk, Olubayo Adekanmbi, Rachel Adams, Rami Alkarmi, Seani Rananga, Seydina Ndiaye, Shikoh Gitau, Tami Koroye

Global Center on AI Governance (GCG) (2026), 54 pp.

"The analysis begins by identifying the core “centric approaches” that guide Artificial Intelligence (AI) national strategies. These include security-anchored models driven by state control, innovation-led frameworks that prioritise competitiveness, rights-based regimes centred on fundamental pr ... otections, and developmental approaches focused on public service delivery and technological catch-up. Each approach expresses incentives, risk perceptions and administrative capacities. Out of these foundational choices, there are different groupings. Various regions within AMET are adopting recognisable patterns of regulation that reflect their political economies, institutional structures and geopolitical positions. These groupings are not static categories, but evolving alignments shaped by domestic pressures, supply-chain dependencies and shifting global power dynamics. Across all regions, a set of cross-cutting issues consistently shapes the regulatory landscape. Data protection and interoperability remain central, alongside growing demands for accountability, explainability and robust auditing. Standards and certification are emerging as tools for both trustbuilding and geopolitical influence. Sector-specific rules in finance, health, education and public administration are increasingly decisive. Capacity constraints, fiscal limits and uneven institutional strength continue to define what is realistically possible for many governments. Geopolitical tensions and cloud concentration reinforce questions around sovereignty, infrastructure control and long-term strategic autonomy. This report translates these insights into practical implications for states, regional bodies and technology firms. It highlights workable pathways for reconciling innovation with safety, managing cross-border data flows, and building resilient digital infrastructure. It also identifies areas where architecture choices such as regional cloud centres, culturally calibrated testing layers and tiered sovereignty models can support both regulatory goals and developmental priorities. The recommendations emphasise flexible alignment, cooperation through standards, and the need for shared mechanisms that accommodate political diversity while reducing fragmentation. Taken together, the framework provides a stable and operational way of understanding global AI regulation. It clarifies the interests driving different jurisdictions, the pressures that shape convergence or divergence, and the strategic considerations that technology firms and policymakers must navigate as the regulatory environment continues to evolve." (Executive summary) more

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Navigating risks and rewards: How South African journalists use AI in the newsroom

Karen Allen, Herman Wasserman, Nande Mbekela

Johannesburg; Stellenbosch: Konrad-Adenauer-Stiftung (KAS), Media Programme Sub-Saharan Africa; Centre for Information Integrity in Africa (CINIA) (2026), 33 pp.

"This study demonstrates impressively how widely AI is already used in South African newsrooms – often, however, without systematic training, without editorial guidelines, and without tools adapted to African languages and contexts. The interviews make it clear that journalists stand between curio ... more

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Handbook on Data Protection and Privacy for Developers of Artificial Intelligence (AI) in India

Ajey Karthik, Aman Taneja, Sreenidhi Srinivasan, Vidushi Sinha

New Delhi: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ); FAIR Forward – Artificial Intelligence for All (2026), 117 pp.

"This Handbook is designed as a practical guide for developers of AI systems, especially from early-stage startups, to navigate data protection obligations and ethical considerations, in a clear and actionable manner. Rather than serving as a comprehensive legal or technical manual, the Handbook co ... more

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Standardization of AI Ethics: Stakeholders, Values and Profit

Nicholas Kluge Corrêa, Julia Maria Mönig (eds.)

Bielefeld: transcript Verlag (2026), 161 pp.

"[...] what a certification could look like is only one of the questions that should be asked when discussing ethical certification of AI. Furthermore, how all potentially concerned parties (stakeholders) can be included, which values might be affected, and what this means for those actors who (righ ... tfully) need and want to profit from AI applications were central questions that the philosophy team of the KI. NRW-flagship project „Zertifizierte KI“ (Certified AI) investigated. Further key questions raised in the contributions and throughout the project period include: Can ethics be standardized? Who audits the auditors? How can auditing institutions be aligned with actual societal concerns? What can an assessment look like for a specific area (e.g., human resources)? How are law and ethics intertwined? Which contribution can philosophy provide, now that there is a European regulation on Artificial Intelligence (e.g., in the discussion whether robots in elderly care should be considered as deceptive technology under the AI Act)? Finally, what role do standardization bodies play in ensuring trustworthy AI? Answers to these questions are presented in this book, as well as in the project’s central outcomes: the 'Catalogue of General Ethical Requirements for AI Certification' and the 'Catalogue of Field-Specific Requirements for AI Certification'. The 'Catalogue of General Ethical Requirements for AI Certification' provides a structured framework for trustworthy AI development, identifying overarching ethical requirements for AI certification and outlining six ethical values: fairness, privacy, robustness, sustainability, transparency, and truthfulness. For each value, the project team researched existing tools, metrics, and approaches to help developers, programmers, and other practitioners build trustworthy AI systems. The 'Catalogue of Field-Specific Requirements for AI Certification' offers a list of requirements, an ethical stakeholder analysis, and a discussion of potential value tensions for six exemplary fields: arts, biometric profiling, industry and critical infrastructure, law enforcement, medicine and care and social media, a list of requirements, an ethical stakeholder analyses and a discussion of potential value tensions. The volume at hand collects the contributions to the final conference of the sub-project philosophy of the KI.NRW-Flagship-Projekt “Zertifizierte KI”. (Introduction, pages 11-12) more

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Critiquing Generative AI in Africa's Media Ecosystems

Lungile A. Tshuma, Trust Matsilele

London; New York: Routledge (2026), 215 pp.

"The book argues that as technology is a social construct reflecting existing power dynamics, those in the Global South, and in Africa in particular, are bound to be marginalised and have their knowledge, systems overlooked as the Global North dominates technological developments. The birth of AI ha ... more

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AI is here. Are we ready?

Eva-Maria Verfürth et al.

D+C: Development and Cooperation, issue 4 (2026), pp. 31-58

"AI is already having a profound impact on our daily lives. The key question is who controls the technology. It is not only in conflicts that AI accelerates the spread of deceptively realistic fakes and makes it harder to distinguish reliable information from manipulation. At the same time, it opens ... more

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Pathways to Inclusion: Advancing Civil Society’s Role in AI Governance: Evidence from and for the Global Majority

Paola Gálvez Callirgos

Geneva: Globethics Publications (2025), 58 pp.

"This policy brief investigates the role of civil society on AI Governance with particular attention to the Global Majority. The research question explores whether civil society serves as an effective counterbalance to concentrated power in the AI ecosystem to ensure AI systems reflect diverse publi ... more

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2024-25 Annual Report: Dynamic Coalition on the Sustainability of Journalism and News Media

Waqas Naeem, Daniel O’Maley, Courtney C. Radsch, Aws Al-Saadi, Lei Ma, Nompilo Simanje

Internet Governance Forum; Dynamic Coalition for the Sustainability of Journalism and News Media; Global Forum for Media Development (GFMD) (2025), 50 pp.

"[...] Just as AI technologies are disrupting the business model of the Internet, they will also have a significant impact on the financial sustainability of the news media. The ability of AI tools to generate and aggregate content and produce news-style summaries might altogether bypass the news me ... more

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Antiqua et nova: Note über das Verhältnis von künstlicher Intelligenz und menschlicher Intelligenz

Dikasterium für die Glaubenslehre, Dikasterium für die Kultur und die Bildung

Bonn: Sekretariat der Deutschen Bischofskonferenz (2025), 83 pp.

"Es ist daher von entscheidender Bedeutung, einzelne Anwendungen in bestimmten Kontexten kritisch zu bewerten, um festzustellen, ob sie die Würde und Berufung des Menschen und das Gemeinwohl fördern oder nicht. Wie bei vielen Technologien sind die Auswirkungen der verschiedenen KI-Anwendungen zu B ... more

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Atlas de Inteligencia Artificial para el Desarrollo Humano de América Latina y el Caribe
Deep Insights

Gustavo Beliz et al.

Programa de las Naciones Unidas para el Desarrollo (PNUD) (2025), 466 pp.

"La Inteligencia Artificial (IA) está reconfigurando las economías, las sociedades y la gobernanza en todo el mundo. En América Latina y el Caribe, el Atlas de IA para el Desarrollo Humano ofrece una guía estratégica para navegar esta transformación. El Atlas mapea el impacto de la IA en cuatr ... more

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2025 Technology and Innovation Report: Inclusive Artificial Intelligence for Development

New York: United Nations Conference on Trade and Development (UNCTAD) (2025), xiii, 168 pp.

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Inclusive and Secure Artificial Intelligence: A Global Perspective on Policy and Technical Developments
Deep Insights

Saiph Savage, Lili Savage

Stuttgart: Institut für Auslandsbeziehungen (ifa) (2025), 84 pp.

"As AI systems are developed and deployed, they often reflect and reinforce dominant cultural norms, marginalizing non-Western languages, epistemologies, and communities. This report explores the systemic risks associated with algorithmic bias, digital colonialism, and cultural homogenization, while ... more

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Just Hiring! How to counter discrimination in AI-assisted recruiting within your organisation. A toolkit for HR professionals

M. Daviet, A. Mueller, N. Baranowska, C. Castillo, J. Saldivar, A. Gatzioura

FINDHR Fairness and Intersectional Non-Discrimination in Human Recommendation (2025), 73 pp.

"In this Toolkit, we offer introductory information and concrete recommendations on how to mitigate the risk of discrimination in algorithmic hiring systems within organisations. This Toolkit addresses HR professionals and recruiting agencies and intends to help them gain a better understanding of w ... more

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Artificial Intelligence Index Report 2025
Deep Insights

Nestor Maslej, Loredana Fattorini et al.

Stanford: Stanford University, Institute for Human-Centered AI (2025), 456 pp.

"Welcome to the eighth edition of the AI Index report. The 2025 Index is our most comprehensive to date and arrives at an important moment, as AI’s influence across society, the economy, and global governance continues to intensify. New in this year’s report are in-depth analyses of the evolving ... more

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Introduction to the ethics of emerging technologies

Wessel Reijers, Mark Coeckelbergh, Mark Thomas Young

Cham: Palgrave Macmillan (2025), xiii, 227 pp.

"Offers a set of lecture and seminar course materials for teaching ethics of emerging technologies. It covers the field in a comprehensive and accessible manner, emphasizing storytelling and examples, practical approaches and tools, and interactive assignments. The book addresses historical and curr ... more

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L'uomo è un algoritmo? Il senso dell'umano e l'intelligenza artificiale

Paolo Benanti

Castelvecchi (2025), 60 pp.

"Il mito di Ulisse ci insegna che la ricerca umana di senso è guidata dall’intelligenza, nelle sue due declinazioni: νοῦς e μῆτις, intuizione e pratica. Dalla sinergia di queste facoltà sono nate le grandi invenzioni che segnano la nostra specie, a partire dalla «grande invenzione de ... more

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Terms of (dis)service: Comparing misinformation policies in text-generative AI chatbot

Maria Giovanna Sessa

Eu DisinfoLab (2025), 8 pp.

"● In the 11 chatbots considered, references to misinformation vary (and sometimes are missing). Even when the term is mentioned, it is rarely defined. This is not uncommon: what some platforms call ‘deletion’, others call ‘termination’, though potential nuances remain unclear. Additionall ... y, it is unspecified who enforces practices, how long suspensions last, and what distinguished warnings, suspensions, and terminations. On another note, more stringent prohibitions generally focus on hate speech, highlighting the illegal nature of the issue. ● Overall, ToS violation detection and content moderation processes are unclear. Some platforms mention dedicated moderation teams and processes – typically a mix of automated and human reviews – but the details remain vague. There is no transparency regarding the resources invested in content moderation, including the number of personnel, their locations and language coverage, and the timeline for action. ● Given our focus on misinformation, we concentrated on content reporting. Nevertheless, it is evident that platforms prioritise reporting breaches of and vulnerabilities in their architecture over content-related concerns. ● Law compliance is usually referenced in broad terms as adherence to “all applicable legislation”. Platforms primarily emphasise privacy and data protection, the prohibition of illegal activities (with a particular focus on child protection), restrictions on reverse-engineering platform functions, and using the services for biometric identification. Notably, there is a perception that users bear greater responsibility for providing accurate data and avoiding platform abuse than the platforms themselves do in terms of accountability. This impression arises because the ToS are detailed regarding user obligations but more superficial about platform responsibilities. Uncertainty remains regarding platform incentives and their actual capacity to enforce these rules. ● Most platforms specify that fact-checking is the user’s responsibility as if trying to exempt themselves from liability related to providing false and inaccurate answers. However, it is worth noting that the general provisions of the EU’s Digital Services Act (DSA) require online platforms to remove illegal content expeditiously once they have actual knowledge of its illegality. ● If current platform approaches to misinformation already seem inadequate, there are valid concerns that the situation will deteriorate further. The cross-platform trend of dismantling safety policies and moderation teams reinforces these fears. Examples pointing in this direction include OpenAI’s decision to remove some content warnings on ChatGPT, and xAI’s introduction of “Unhinged Mode” in Grok-2, a beta feature described as intentionally “objectionable, inappropriate, and offensive, much like an amateur stand-up comic who is still learning the craft.” (Concluding remarks, page 8) more

Atlas de Inteligencia Artificial para el Desarrollo Humano de América Latina y el Caribe Deep Insights

Inclusive and Secure Artificial Intelligence: A Global Perspective on Policy and Technical Developments Deep Insights

Artificial Intelligence Index Report 2025 Deep Insights

Atlas de Inteligencia Artificial para el Desarrollo Humano de América Latina y el Caribe
Deep Insights

Inclusive and Secure Artificial Intelligence: A Global Perspective on Policy and Technical Developments
Deep Insights

Artificial Intelligence Index Report 2025
Deep Insights