McKinsey · consulting-deck
How nine digital frontrunners can lead on AI in Europe
66 pages · 4 arc beats · 3 loops
How nine digital frontrunners can lead on AI in Europe
McKinsey arc beats above · slides in the middle · loops below · scroll → 3 LOOPS
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Deck intelligence map
4 coverage by narrative range · generated from this deck JSON
Narrative range 26 total
Metadata
Components
Metrics
Tools
Frameworks
Beats
Loops
What is AI 4 slides 100% 4/4 slides 100% 4/4 slides · 19 hits — 0/4 slides
50% 2/4 slides — 0/4 slides
100% 4/4 slides 100% 4/4 slides The global AI race 7 slides 100% 7/7 slides 100% 7/7 slides · 53 hits 42.9% 3/7 slides 57.1% 4/7 slides 14.3% 1/7 slides 100% 7/7 slides 100% 7/7 slides The economic opportunity provided by AI 8 slides 100% 8/8 slides 100% 8/8 slides · 45 hits 62.5% 5/8 slides 12.5% 1/8 slides 37.5% 3/8 slides 100% 8/8 slides 100% 8/8 slides Potential focus areas for the DF9 7 slides 100% 7/7 slides 100% 7/7 slides · 43 hits 28.6% 2/7 slides 14.3% 1/7 slides — 0/7 slides
100% 7/7 slides 100% 7/7 slides Slide inventory
66 every slide · same image gating as the playbook
05
The slide serves as an introduction/executive summary for a report on AI in Europe.summarize
06
The slide uses historical precedents (SARS) to contextualize the current impact of COVID-19 on digital business models.establish_context
07
Includes a footnote and source citation at the bottom.establish_context
08
The slide uses a structured table format to define and differentiate three core machine learning paradigms.present_framework
Open slide detailLoop · Golden Circle
09
The slide provides a narrative summary of AI progress in specific domains with supporting data points.establish_context
Open slide detailLoop · Golden Circle
10
The chart uses flag icons to denote the specific year AI performance crossed the human parity threshold for each modality.analyze_data
Open slide detailLoop · Golden Circle
11
The slide uses a list of metrics to quantify the 'momentum' of AI adoption.establish_context
Open slide detailLoop · Golden Circle
12
The slide contrasts general strategic approaches (EU vs China) and provides specific country-level examples in an exhibit.establish_context
Open slide detailLoop · Golden Circle
13
The slide uses a timeline framework to map the emergence of AI strategies globally.establish_context
Open slide detailLoop · Golden Circle
15
The slide uses a donut chart to visualize market share of private AI investment in 2018.establish_context
16
The slide is text-heavy, functioning as a narrative summary of AI cluster dynamics.summarize
17
DF9 refers to a specific group of European countries. The map uses numbered callouts to indicate cluster locations.present_framework
18
The diagram uses a hub-and-spoke/circular flow model to show interactions between the four entities.present_framework
19
Includes a small exhibit box with four key metrics.establish_context
20
The slide highlights the DF9 group (Belgium, Denmark, Estonia, Finland, Ireland, Luxembourg, the Netherlands, Norway, and Sweden) and provides a list of seven kestablish_context
21
The slide uses a hub-and-spoke style diagram to list indicators and a table to show country rankings.compare_peers
22
DF9 refers to a specific group of countries; CeADAR is mentioned as an Irish initiative.summarize
23
DF9 is represented as a group of flags. The table ranks top 3 strengths per country/group.compare_peers
24
The slide uses a 3-column layout to categorize AI applications in healthcare.illustrate_case
25
The slide is structured as two columns of text, likely part of a larger report on AI readiness.summarize
26
The slide is text-heavy and structured in two columns, acting as a diagnostic summary of regional gaps.diagnose
28
The slide uses country flags to categorize specific national initiatives under three thematic pillars.illustrate_case
30
The slide discusses the economic impact of AI on the 'DF9' region, citing a potential EUR 42 billion annual GDP increase.size_opportunity
31
DF9 likely refers to a specific group of digital frontrunner countries in Europe.quantify_impact
32
The slide uses a bar chart to compare historical investment scaling (4x) with required future AI investment scaling (8x).quantify_impact
34
The slide uses the official UN SDG icon grid as a visual anchor for the categorization.illustrate_case
35
The chart uses a waterfall structure to aggregate various welfare impacts into a net effect.quantify_impact
37
Includes footnotes referencing McKinsey Global Institute and other sources.quantify_impact
38
The slide uses a dot-plot style visualization for the 'Current AI adoption/maturity' column.quantify_impact
39
The chart shows SME value added percentages for various countries, with DF9 and EU 27 as benchmarks.analyze_data
40
The framework is a hub-and-spoke model centered on 'Key verticals' with four surrounding criteria.present_framework
41
DF9 likely refers to a specific group of countries (e.g., Nordic/Northern European).establish_context
42
The slide uses a two-column layout: text-heavy analysis on the left and a structured list of AI applications on the right.present_solution
43
The slide acts as a narrative summary of regional sustainability performance, referencing exhibits 26 and 27.summarize
44
The slide highlights the strong sustainability performance of the DF9 group compared to global benchmarks.analyze_data
47
DF9 refers to a specific group of countries mentioned in the context of European AI strategy.prioritize
48
The slide discusses the 'DF9' (Digital Frontrunners) group and their role in AI investment and adoption.recommend
49
The slide contains two columns of text discussing AI adoption, competitive advantage, and policy recommendations for the DF9 region.summarize
50
The slide is structured as two parallel columns of text, each detailing a strategic pillar with specific focus areas.recommend
51
The slide is text-heavy, structured as two columns of narrative and bulleted recommendations.summarize
52
The slide is a text-heavy page serving as an introduction to a chapter.summarize