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The first explores the essence of AI, explaining what the technology is and how is can be used in a variety of settings. Chapter 2 describes the race to develop AI around the globe, highlighting key clusters and setting out the current state of play in Europe, including in the DF9. Chapter 3 focuses on the economic opportunity, which is significantly greater than that of early robotics and web technologies. We expect to see GDP uplifts in all economies, with AI becoming the key driver of economic growth in some. In Chapter 4 we disaggregate AI’s potential into individual sectors and highlight key verticals that may see the biggest impacts, namely healthcare, sustainable activities, and the public sector. We believe special efforts should be made to ensure SMEs reap the benefits. Finally, in Chapter 5 we set out some ideas for focus areas going forward. The future role of AI remains uncertain, but all the signs are that it will play a significant role in numerous aspects of our lives.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:47.223+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "862d8668-2e4b-4555-9e1e-2878bf6b1489", "parentComponentId": null }, { "bbox": { "h": 0.7, "w": 0.35, "x": 0.1, "y": 0.18 }, "kind": "paragraph", "text": "Artificial intelligence (AI) is a game-changing technology that has the potential to impact almost every sphere of human activity. The technology’s power arises from its ability to process huge data sets quickly, enabling it to mimic aspects of human intelligence, including perception, learning, reasoning, planning, and decision making. Around the world, researchers are working on thousands of applications for AI, ranging from innovations in marketing to breakthroughs in agriculture, transport, and healthcare. Much of the activity is located in tech clusters, in particular in the US and China. Europe is also seeing rising levels of AI engagement, but not on the same scale. The onus is now on European companies and policy makers to put in place the frameworks to ensure that the continent keeps pace and realizes AI’s potential. Amid a dynamic development landscape, it is incumbent on Europe to pick up momentum in AI investment, policy, and experimentation. The key will be to grasp the many facets of the technology – from its commercial potential to its impact on labor markets – and to formulate a strategic response that serves the best interests of business, the public sector, and the public at large. If Europe is to make the most of AI, it must find a way to leverage skills from across the continent. One potential source of leadership is the continent’s nine digital frontrunners, namely Belgium, Denmark, Estonia, Finland, Ireland, Luxembourg, the Netherlands, Norway, and Sweden. These “DF9” are ahead on AI infrastructure and policy environment and have the potential, given the right conditions, to become Europe's AI locus, driving adoption and maximizing the technology's impact.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:47.223+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ffadc0a6-ecb9-4813-a373-fbac3e64272a", "parentComponentId": null }, { "bbox": { "h": 0.02, "w": 0.1, "x": 0.8, "y": 0.95 }, "kind": "source-note", "text": "Chapter 1 – Introduction to AI 5", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. 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A burgeoning field of study is affective computing, which seeks to equip AI with the ability to recognize, interpret, and replicate human emotions. 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There is a vast amount of information in text. Natural language processing (NLP) can contribute to recognition, understanding and generation of language and has been shown to exceeded the average human score in reading comprehension tests of 86 percent in 2018. NLP can be combined with speech recognition to process the meaning from speech or with image recognition to analyze handwriting. NLP AI can help businesses make smarter decisions, governments deliver better services, or simply make peoples' lives easier!", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:42.284+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "9d573c7d-1aa7-43d6-a410-3949a33ffe93", "parentComponentId": null }, { "bbox": { "h": 0.25, "w": 0.38, "x": 0.52, "y": 0.18 }, "kind": "paragraph", "text": "Speech recognition. AI can also be used to translate spoken words into text. AI speech recognition surpassed the human accuracy level of 95 percent in 2017 and some of the world's leading tech companies use it on devices such as Google Home, Amazon Echo, and Siri. While the technology is still in its infancy, it has significant potential. Research firm Gartner predicts that 30 percent of web browsing will be without a screen in 2020. 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It also recently published a strategy to create a single European market for data and has asked individual countries to develop national AI strategies. However, more than ten countries in the 27-country bloc are still to deliver. 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research output: 32%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-24 13:21:26+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-cdeb-70a8-9775-45dd9205306b", "parentComponentId": null }, { "bbox": { "h": 0.22, "w": 0.36, "x": 0.102, "y": 0.183 }, "kind": "paragraph", "text": "Although the US and China are moving forward at pace and are in a strong position to harness the AI opportunity, Europe has the necessary tools to excel. The continent has a high number of strong incumbent industries, the world's largest single market area, a sturdy legal framework, excellent public services, and many companies and SMEs that are leaders in their field. Europe also has high-quality education and research and is the source of many of the most influential academic papers on AI. 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Some regions in Southern and Eastern Europe have fewer resources and suffer from talent migration to larger areas. Innovation and adoption are more limited in the private sector than in other countries and there are few tech hubs, amid relatively low levels of science and technology employment. Still, the dispersion of strengths across Europe indicates that countries can borrow best practices from each other to create a more favorable and enabling AI environment.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:54.647+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b174032a-7a0c-499c-b485-9bb9d7259fa5", "parentComponentId": null }, { "bbox": { "h": 0.22, "w": 0.36, "x": 0.102, "y": 0.415 }, "kind": "paragraph", "text": "On a policy level, the EU is leading coordination among its member states for investment, data sharing, and developing an ethical and legal framework. The EU's \"Coordinated Plan on Artificial Intelligence\" encourages the use of AI to solve some of the world's most pressing challenges, from diseases, to climate change, and cross-border crime. The EU's February 2020 \"White Paper on Artificial Intelligence\" supports a regulatory- and investment-oriented approach, with the twin objectives of promoting uptake of AI and addressing the risks associated with certain uses.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:54.647+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ec99ad16-5d56-47cd-96aa-05a9f66dcccb", "parentComponentId": null }, { "bbox": { "h": 0.22, "w": 0.81, "x": 0.102, "y": 0.65 }, "kind": "paragraph", "text": "Across Europe's diverse economies, some countries have recently ramped up investment in AI, while others are playing catch-up. The UK, Germany, and France are home to Europe's largest tech hubs, supported by dedicated policy and fiscal initiatives such as R&D tax credits. With the help of an effective AI strategy, the UK has become the world's fourth largest market for investment, after the US, China, and Israel, and is home to some of the biggest names in the business, including DeepMind, SwiftKey, and Babylon. Germany, meanwhile, is seeing a wave of innovation, with industrial giants leading the world in patent applications in some categories. France has developed a national strategy called AI for Humanity, with ambitions that include wider access to big data, deeper research, and the development of plans to cater to the impact of AI on labor.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:54.647+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "f1790cb8-0113-43f2-a578-53f9fc7697ce", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.55, "x": 0.102, "y": 0.88 }, "kind": "source-note", "text": "1 Stanford University HAI, 2019. 2 European Commission, 2018, 2020. 3 Estimated from PE, VC, M&A investments in AI and big data companies from PitchBook. 4 The concept of adoption has been used in various contexts under various names, e.g., AI diffusion, absorption. In this research, we only use the word adoption. We define adoption as when an economic entity - notably a company - chooses to invest in one of the five generic AI technologies (computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning). Source: Stanford University HAI, 2019; European Commission 2018a, 2018e; Atomico, 2019; Center for Data Innovation; Tufts University, 2017", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. 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In a survey of global digital managers, two thirds say that COVID-19 will speed up the pace of digital transformation. This is an enabler of AI adoption, because a strong digital core is a prerequisite of harvesting the benefits of AI. Furthermore, there is huge unlocked value potential from AI across the DF9, and the financial impact of the crisis might make it even more urgent for companies and governments to act. 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However, to reap the full economic benefits, mass adoption is important. A good indicator of a country's ability to achieve mass adoption is its private sector adoption capability. Here the DF9 are in an overall strong position and four countries are among the global top ten. In addition, the DF9 are expected to have a higher ratio of companies adopting AI by 2030 than the global average, most likely due to the investment made by the DF9 in the first wave of digital. One DF9 initiative that aims to accelerate corporate adoption is CeADAR, Ireland's national center for AI and applied data analytics. 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The DF9 have invested in digital infrastructure and all rank in the top ten in the European Digital Economy and Society Index. 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In Estonia, the government has gone so far as to amend traffic regulation to enable an Estonian company to use delivery robots with AI technology. 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Vast amounts of data are required to train algorithms, so the availability and standardization of data is a key indicator of a country's AI readiness.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:50.669+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "95763da6-0a00-410b-bb89-df957e024dd8", "parentComponentId": null }, { "bbox": { "h": 0.01, "w": 0.25, "x": 0.69, "y": 0.95 }, "kind": "paragraph", "text": "Chapter 2 - Role of Europe and the DF9 in the global race on AI", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:50.669+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aa2abe41-9ae7-4a83-b31d-815d632243ff", "parentComponentId": null }, { "bbox": { "h": 0.01, "w": 0.015, "x": 0.94, "y": 0.95 }, "kind": "paragraph", "text": "25", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:50.669+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aee6d6a9-4a58-49a0-85a6-fc88b381cd34", "parentComponentId": null }, { "bbox": { "h": 0.08, "w": 0.36, "x": 0.103, "y": 0.52 }, "kind": "paragraph", "text": "Digitally advanced nations typically have significant amounts of available data. 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Readily available data and a strong digital infrastructure are critical enablers, and initiatives such as Sweden's Data Factory, designed to feed the country's AI ecosystem, and Finland's MyData program mean the DF9 are in great shape to seize Europe's AI opportunity (Exhibit 15). Still, to build a more mature AI-driven economy, the DF9 must tackle a number of challenges. No single sector or individual firm in the DF9 economies has the scale to drive game-changing innovation. There is a need, therefore, for greater collaboration between sectors, companies, and policy makers, echoing the situation in the US and China, which also have scale advantages. 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There will be lags and transition costs associated with deploying technologies, especially where major shifts in skills and labor markets are fluid. 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In the first digital wave from 1995 to 2007, the group scaled up investment by a factor of four. 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As the DF9 economies transition to new ways of working, both companies and employees could suffer. Firms will need to hire the right employees, ensure proper data management, and introduce new technological infrastructures. During the transition, employees may need reskilling, which can entail temporary unemployment. Still, in the longer run, we expect AI will have a neutral effect on employment, with as many jobs created as are destroyed. 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The economic potential of improved health and increased longevity could amount to 1 percent of GDP annually. However, AI-induced stress in relation to job security, for example, could deduct 0.2 percent of annual GDP impact.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:46.479+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "0deedba3-0463-4a19-a401-1e6c969d76c3", "parentComponentId": null }, { "bbox": { "h": 0.15, "w": 0.35, "x": 0.1, "y": 0.24 }, "kind": "paragraph", "text": "AI has the potential to become a force for good and deliver welfare benefits, with possibilities ranging from increased environmental sustainability to more meaningful jobs focused on creativity and social skills. It is already starting to have an impact, with many use cases being developed across the United Nation's 17 Sustainable Development Goals (Exhibit 18). The COVID-19 outbreak has served to demonstrate AI's potential to deliver healthcare and safety benefits, with DF9 countries using it for diagnosis, disease control, and forecasting (refer back to Exhibit 14).", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:46.479+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "75289a45-68f2-448c-a399-5e8e74015155", "parentComponentId": null }, { "bbox": { "h": 0.12, "w": 0.35, "x": 0.55, "y": 0.32 }, "kind": "paragraph", "text": "Real-life examples are emerging. A leading hospital in the Netherlands in 2018, for example, adopted an EarlySense AI-enabled system, which analyzes patients' risk of falling and alerts personnel before patients leave their beds. 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In perfecting these approaches, the DF9 could set the benchmark in Europe, particularly in sensitive areas such as criminal justice and data dissemination.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:46.479+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "ace751a7-1a2f-4621-a2b9-37e1ca3d6d09", "parentComponentId": null }, { "bbox": { "h": 0.2, "w": 0.35, "x": 0.1, "y": 0.46 }, "kind": "paragraph", "text": "Within the DF9, some of the most promising areas of potential are healthcare and the work environment. There are a significant number of AI applications in both and the potential for many people to benefit. To get a sense of the impact, a useful metric is \"GDP equivalent,\" which incorporates factors such as whether the impact drives welfare or can be modeled robustly. Preliminary results on this basis quantify the GDP-equivalent impact as 0.4 percent of GDP annually (Exhibit 19). Benefits include better health, fewer working hours, and increased leisure time, while drawbacks may include stress, inequality, and unemployment.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:46.479+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "aff2b5b9-f9fe-4418-829d-51438c2c7182", "parentComponentId": null }, { "bbox": { "h": 0.1, "w": 0.35, "x": 0.1, "y": 0.68 }, "kind": "paragraph", "text": "Healthcare effects are pronounced, which is a particular benefit in the face of rising healthcare costs. AI-related technologies may ease access to low-cost healthcare through telemedicine solutions, and remote healthcare services such as virtual consultations may become a realistic alternative to physical consultations.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:46.479+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bb870820-ee24-4831-89d4-34ef78d2e435", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.35, "x": 0.55, "y": 0.46 }, "kind": "paragraph", "text": "Of course, stakeholders also need to guard against potential misuses of AI that include disinformation campaigns, cyberattacks, and cyber-fraud. There also may be unintended impacts of implementation, such as increases in inequality. As AI develops, policy frameworks will be required to protect users and the wider public. 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We identify the verticals based on four parameters: strategic importance, technological innovation, fit with relative strengths of DF9, and contribution to solving key societal challenges (Exhibit 23). 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AI models are designed to boost the efficiency of analysis, which leads to benefits including better energy forecasting and usage, new mobility solutions, smart waste management and recycling, precision agriculture, and a more informed approach to water conservation (Exhibit 25).", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:51.163+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e44b80c3-46bd-44c6-b88a-7e66167ccbb1", "parentComponentId": null }, { "bbox": { "h": 0.045, "w": 0.335, "x": 0.103, "y": 0.926 }, "kind": "source-note", "text": "1 Climate Action Tracker organization, 2019\n2 European Commission, 2019d.\n3 Climate Action Tracker organization, 2019; Microsoft and PwC, 2019.", "attrs": null, "canon": { "kind": { "name": "Source note", "slug": "source-note", "status": "active", "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948", "version": 1, "description": "Attribution / source / caveat placed at the slide footer. 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Sweden, for example, has a strong record of exceeding international requirements, including the Kyoto Protocol and Paris Agreement. 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This is especially true of the availability of data, which is the cornerstone of AI. The DF9 together have significant volumes of data, especially in sectors such as health and education. In addition, Europe boasts a comprehensive data framework that sets out standards for collecting, storing, and accessing data, including the General Data Protection Regulation (GDPR). 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COVID-19 breakthrough...", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:19:47.242+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "b84d48f5-ee51-4fd2-b0b1-4f91ecd20f48", "parentComponentId": null }, { "bbox": { "h": 0.8, "w": 0.45, "x": 0.51, "y": 0.14 }, "kind": "paragraph", "text": "City of Pittsburgh Proposal, 2016. Beyond Traffic: The Smart City Challenge. Climate Action Tracker organization, 2019. 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