Morning Consult · consulting-deck
2024 ROI of AI
77 pages · 5 arc beats · 3 loops
2024 ROI of AI
Morning Consult arc beats above · slides in the middle · loops below · scroll → 3 LOOPS
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Deck intelligence map
5 coverage by narrative range · generated from this deck JSON
Narrative range 66 total
Metadata
Components
Metrics
Tools
Frameworks
Beats
Loops
Setup 4 slides 100% 4/4 slides 100% 4/4 slides · 17 hits — 0/4 slides
25% 1/4 slides — 0/4 slides
100% 4/4 slides — 0/4 slides
Industry Trends 7 slides 100% 7/7 slides 100% 7/7 slides · 44 hits — 0/7 slides
28.6% 2/7 slides · 3 hits — 0/7 slides
100% 7/7 slides — 0/7 slides
Complication 2 slides 100% 2/2 slides 100% 2/2 slides · 14 hits — 0/2 slides
100% 2/2 slides — 0/2 slides
100% 2/2 slides 100% 2/2 slides Development 4 slides 100% 4/4 slides 100% 4/4 slides · 27 hits — 0/4 slides
25% 1/4 slides — 0/4 slides
100% 4/4 slides 100% 4/4 slides Evidence 49 slides 100% 49/49 slides 100% 49/49 slides · 253 hits — 0/49 slides
51% 25/49 slides · 37 hits 2% 1/49 slides 100% 49/49 slides 6.1% 3/49 slides Slide inventory
77 every slide · same image gating as the playbook
06
Data source: Morning Consult, Sample Size: ITDMs = 2,413analyze_data
Open slide detailBeat · Industry Trends
07
The chart uses a 100% stacked bar format to show the breakdown of motivations.analyze_data
Open slide detailBeat · Industry Trends
08
Data source: Morning Consult, Sample Size: ITDMs = 2,413analyze_data
Open slide detailBeat · Industry Trends
09
The slide uses a clear hierarchy to present survey data on AI strategy success metrics.summarize
Open slide detailBeat · Industry Trends
10
The slide uses a horizontal bar chart to visualize survey results regarding AI ROI.analyze_data
Open slide detailBeat · Industry Trends
11
Sample size: 1,132 ITDMs at companies not currently seeing positive ROI from AI.analyze_data
Open slide detailBeat · Industry Trends
12
Data source: Morning Consult, Sample Size: ITDMs = 2,413analyze_data
Open slide detailBeat · Industry Trends
14
The slide uses a callout box to provide regional context for open-source adoption.analyze_data
15
The slide uses a 100% stacked bar chart to visualize the distribution of open-source adoption in AI.summarize
16
The slide highlights that 58% of ITDMs transition in less than a year, with a specific callout for larger enterprises.analyze_data
17
The chart highlights that the majority of companies are scaling AI pilots beyond the initial 1-10 range.analyze_data
20
The slide uses a 'Data Deep Dive' callout box to provide granular insights based on company size, open-source usage, and management level.diagnose
21
The slide highlights data-related issues as the primary barrier to AI scaling.diagnose
23
The slide uses a grouped horizontal bar chart to compare two years of survey data, supplemented by a 'Data Deep Dive' callout box highlighting specific segmentsanalyze_data
24
The slide uses a flow-chart style layout to connect high-level budget decisions to granular percentage changes.analyze_data
25
The chart highlights the top 4 categories with a purple box.analyze_data
26
The chart shows a shift towards higher percentages of open-source usage in 2025 compared to 2024.analyze_data
29
The slide displays three grouped bar charts representing different time periods for AI pilot launches.analyze_data
Open slide detailBeat · Evidence
34
Data source: Morning Consult. Sample sizes: Advanced (1,407), Emerging (1,006).analyze_data
Open slide detailBeat · Evidence
35
Data source: Morning Consult. Sample sizes provided in footer.analyze_data
Open slide detailBeat · Evidence
36
Data source: Morning Consult. Sample sizes: Advanced (1,396), Emerging (997).analyze_data
Open slide detailBeat · Evidence
37
The chart shows that transition times are relatively similar across both market types, with the majority of organizations taking between 6 months and 2 years.analyze_data
Open slide detailBeat · Evidence
38
Data source: IBM. Sample sizes: Advanced (1,404), Emerging (1,005).analyze_data
Open slide detailBeat · Evidence
39
Data source: Morning Consult. Sample sizes: Advanced (1,407), Emerging (1,006).analyze_data
Open slide detailBeat · Evidence
40
Data source: Morning Consult. Sample sizes provided in footer.analyze_data
Open slide detailBeat · Evidence
41
Data source: Morning Consult. Sample sizes provided in footer.analyze_data
Open slide detailBeat · Evidence
42
Data source: Morning Consult. Sample sizes provided in footer.analyze_data
Open slide detailBeat · Evidence
44
The chart shows that Emerging AI Ecosystem markets generally report higher percentages for most ROI metrics compared to Advanced AI Ecosystem markets, except foanalyze_data
Open slide detailBeat · Evidence
45
Data source: Morning Consult / IBM12a. Sample sizes: Advanced (1,407), Emerging (1,006).analyze_data
Open slide detailBeat · Evidence
49
Data source: Morning Consult. Sample sizes: Advanced (1,407), Emerging (1,006).analyze_data
Open slide detailBeat · Evidence
50
Source: Morning Consult. Sample sizes: Advanced (1,407), Emerging (1,006).analyze_data
Open slide detailBeat · Evidence
51
Data source: Morning Consult. Sample sizes provided in footer.analyze_data
Open slide detailBeat · Evidence
52
Data source: Morning Consult. Sample sizes provided in footer.analyze_data
Open slide detailBeat · Evidence
54
Data source: Morning Consult / IBM. Sample sizes provided in footer.analyze_data
Open slide detailBeat · Evidence
56
The table segments ITDMs by their self-reported progress in AI strategy execution across 12 countries/regions.analyze_data
Open slide detailBeat · Evidence
57
The table displays distribution of AI pilot counts across 13 countries grouped into 4 regions.analyze_data
Open slide detailBeat · Evidence
58
Data represents survey results from IT decision makers (ITDMs) at companies that started AI pilots in 2024.analyze_data
Open slide detailBeat · Evidence
59
The table displays percentages across various time durations (Less than 6 months to More than 2 years) for 13 different regions/countries.analyze_data
Open slide detailBeat · Evidence
60
Data source: Morning Consult. The table includes 12 specific obstacles/categories across 12 countries/regions plus an 'All ITDMs' column.analyze_data
61
Data source: Morning Consult. Sample sizes are provided at the bottom of the table.analyze_data
62
The table includes sample sizes for each country/region at the bottom.analyze_data
63
The table segments data by region (North America, LatAm, EMEA, APAC) and country, with sample sizes provided at the bottom.analyze_data
Open slide detailBeat · Evidence
64
The table displays distribution percentages across five categories (0% to 75-100%) for 12 countries and an 'All ITDMs' aggregate.analyze_data
Open slide detailBeat · Evidence
65
The table segments ITDMs by their primary motivation for AI implementation (innovation vs. ROI) across 12 countries/regions.analyze_data
Open slide detailBeat · Evidence
66
The table displays percentage responses for various ROI metrics across 12 countries/regions, plus an 'All ITDMs' aggregate.analyze_data
Open slide detailBeat · Evidence
67
Data source: Morning Consult. Sample sizes provided at the bottom of the table.analyze_data
Open slide detailBeat · Evidence
68
The table includes data for 12 countries across 4 regions, plus an 'All ITDMs' aggregate column.analyze_data
Open slide detailBeat · Evidence
69
The table displays percentages of ITDMs reporting positive, break-even, or negative ROI, or difficulty measuring ROI, across 12 countries/regions.analyze_data
Open slide detailBeat · Evidence
70
The table displays percentage distributions of IT decision-makers' expectations for ROI timelines across various countries and regions.analyze_data
Open slide detailBeat · Evidence
71
Data source: Morning Consult. The table displays four key factors: Employee adoption, Computing costs, Business value/vision, and User experience.analyze_data
Open slide detailBeat · Evidence
72
Data source: Morning Consult. Survey question: 'IBM17 How does your company plan to allocate its AI budget in 2025? My company plans to...'analyze_data
Open slide detailBeat · Evidence
73
The table is segmented by region (North America, LatAm, EMEA, APAC) and country, with 'All ITDMs' as a baseline.analyze_data
Open slide detailBeat · Evidence
74
The table segments data by region (North America, LatAm, EMEA, APAC) and specific countries, with 'All ITDMs' as a baseline.analyze_data
Open slide detailBeat · Evidence
75
The table displays survey results across 12 countries/regions, categorized by the percentage of open-source usage in AI solutions.analyze_data
Open slide detailBeat · Evidence
76
The table includes a 'Sample Sizes' row at the bottom and a source/question disclosure at the footer.analyze_data
Open slide detailBeat · Evidence