AI Radar 2025

BCG
arc beats above · slides in the middle · loops below · scroll → 5 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 1
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Deck intelligence map

5
coverage by narrative range · generated from this deck JSON

Slide inventory

27
every slide · same image gating as the playbook
01
Slide 1
front_matter
Open slide detailBeat · Situation & Context
02
Survey conducted September to December 2024. Revenue thresholds vary by region.summarize
Open slide detailBeat · Situation & Context
03
transition
Open slide detailBeat · Situation & ContextLoop · Aha Moment
04
quantify_impact
Open slide detailBeat · Situation & ContextLoop · Aha Moment
05
The 'One in three' claim is derived by summing the three rightmost segments (18%+7%+6% = 31%) for the Global row.quantify_impact
Open slide detailBeat · Situation & ContextLoop · Aha Moment
06
Uses a contrast-pair framing to highlight the 'AI value gap'.summarize
Open slide detailBeat · Problem & ComplicationLoop · Aha Moment
07
transition
Open slide detailBeat · Solution & ApproachLoop · Tale Two Worlds
08
Uses the BCG Deploy-Reshape-Invent framework.present_solution
Open slide detailBeat · Solution & ApproachLoop · Tale Two Worlds
09
The chart uses a specific BCG framework for AI investment categorization.summarize
Open slide detailBeat · Solution & ApproachLoop · Tale Two Worlds
10
The slide uses the BCG Deploy-Reshape-Invent framework to categorize AI investment focus.summarize
Open slide detailBeat · Solution & ApproachLoop · Tale Two Worlds
11
The slide uses a bar chart to show the difference in prioritized use cases (6.1 vs 3.5) and a big number to highlight the 2.1x ROI multiplier.quantify_impact
Open slide detailBeat · Solution & ApproachLoop · Tale Two Worlds
12
The 60% figure is derived from the sum of 'Not tracking yet' (32%) and 'Operational only' (28%).quantify_impact
Open slide detailBeat · Solution & ApproachLoop · Tale Two Worlds
13
Uses an iceberg metaphor to represent the 10-20-70 principle.frame_problem
Open slide detailBeat · Solution & ApproachLoop · Tale Two Worlds
14
diagnose
Open slide detailBeat · Evidence & ProofLoop · Cost Of Inaction
15
summarize
Open slide detailBeat · Evidence & ProofLoop · Cost Of Inaction
16
transition
Open slide detailBeat · Evidence & ProofLoop · Zoom In
17
The slide uses a two-part categorization to define AI agents.present_framework
Open slide detailBeat · Evidence & ProofLoop · Zoom In
18
summarize
Open slide detailBeat · Evidence & ProofLoop · Zoom In
19
The chart displays two categories of AI agent adoption per country, with a total percentage for each.analyze_data
Open slide detailBeat · Evidence & ProofLoop · Zoom In
20
summarize
Open slide detailBeat · Evidence & ProofLoop · Zoom In
21
transition
Open slide detailBeat · Evidence & ProofLoop · Myth Buster
22
The chart uses a horizontal stacked bar to represent a spectrum of AI-human integration.summarize
Open slide detailBeat · Evidence & ProofLoop · Myth Buster
23
quantify_impact
Open slide detailBeat · Evidence & ProofLoop · Myth Buster
24
The chart shows a shift from 6% to 29% of companies having trained >25% of their workforce.summarize
Open slide detailBeat · Evidence & ProofLoop · Myth Buster
25
The chart uses color coding to distinguish performance tiers relative to the global average.compare_peers
Open slide detailBeat · Evidence & ProofLoop · Myth Buster
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transition
Open slide detailBeat · Impact & Next Steps
27
summarize
Open slide detailBeat · Impact & Next Steps