This report presents eight data-driven visualizations examining the global trajectory of Artificial Intelligence from 2017 to 2024. The analysis spans three interconnected dimensions: private investment and funding flows, enterprise adoption rates across industries, and labor market transformation. Data sources include the Stanford HAI AI Index, McKinsey State of AI Survey, LinkedIn Economic Graph, and Epoch AI — all publicly available institutional datasets.

• Replicated and audited Excel-computed market-model parameters (α, β) in R, reconciling both sets of estimates to the decimal across all 10 OMXH25 firms a direct reproducibility and code-review check • Estimated two-way (firm × year) fixed-effects panel regressions of Tobin’s Q on ROA, size, leverage (unbalanced 24-firm, 127-observation panel; plm), validated with F-tests, Hausman tests, firm-clustered robust SEs • Ran a market-model event study of profit warnings: AR, CAR, CAAR over a [−10, +10] window, with cross-sectional t-tests; delivered a cross-sectional OLS of CAR on firm size with HC3 robust SEs and residual diagnostics (Shapiro–Wilk) • Packaged as a reproducible R Markdown / RPubs pipeline regenerating every table and figure from raw data in one kni

ExamIDs2026a