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  "documentTitle": "How nine digital frontrunners can lead on AI in Europe",
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  "notes": "DF9 refers to a specific group of countries; CeADAR is mentioned as an Irish initiative.",
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      "kind": "paragraph",
      "text": "The DF9's key strengths in terms of AI readiness are high levels of technology adoption potential, a solid digital infrastructure and data availability, and a policy environment supporting AI development (Exhibit 13).",
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      "text": "The potential is significant, and COVID-19 will likely accelerate adoption. 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. We see early signs of this, with DF9 countries launching several AI-based initiatives to fight the virus (Exhibit 14).",
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      "text": "AI has wide-ranging applications that will impact competitiveness across industries. 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. CeADAR provides companies with prototypes, analytical tools, and best-practice methodologies and processes.",
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      "text": "1 McKinsey Global Institute, 2017\n2 DMEXCO Trend Survey 1-2020, 2020. Survey asking 305 digital managers from around the globe\n3 McKinsey & Company, 2018b\n4 Exhibit 16\nSource: World Bank; UN data; ILO; Innography; IDC; World Economic Forum; UNCTAD, 2019; Pitchbook; McKinsey Global Institute 2018b-2018d; Tortoise media, 2019; Stanford University HAI, 2019; Oxford Insights, 2019; OECD; European Commission 2017-2019; Capgemini, 2018; Asgaard, 2019",
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