Last updated: June 2026. All charts pull from primary sources — McKinsey, Stanford HAI, Menlo Ventures, OECD, IDC, IEA, WEF. Every figure has the underlying table and citation directly below it.
COMPARE AI — BY THE NUMBERS
8
Interactive charts
YoY across every category
2022–2030
Time range covered
historical + forecast
9
Primary sources
every figure linked
This page is the year-over-year comparison view across every category Report AI tracks. Each chart sits next to the underlying data table and its primary-source citation, so the numbers are usable whether you’re skimming the visual or copying the figures into a deck.
1. Organizational AI Adoption, 2022–2025
Share of organizations using AI in at least one business function. Adoption was flat near 50% for years — then generative AI broke the curve. Source: McKinsey, The State of AI.
| Year | Organizations using AI | YoY change |
|---|---|---|
| 2022 | ~50% | flat (5-year baseline) |
| 2023 | 55% | +5 pp |
| 2024 | 78% | +23 pp |
| 2025 | 88% | +10 pp |
2. Regular Generative AI Use, 2023–2024
Share of organizations regularly using generative AI in at least one function. Within a year of ChatGPT’s launch a third of organizations were already using GenAI; that more than doubled in 2024. Source: Stanford HAI, AI Index 2025; McKinsey.
| Period | Regularly using GenAI | Source |
|---|---|---|
| 2023 (post-ChatGPT) | 33% | McKinsey 2023 |
| Early 2024 | 65% | McKinsey / Stanford HAI |
| Late 2024 | 71% | McKinsey / Stanford HAI |
3. Enterprise Generative AI Spending, 2024–2025
Total enterprise spending on generative AI, in billions of dollars. 2025 was a 3.2× jump over 2024. Source: Menlo Ventures, 2025 State of Generative AI in the Enterprise.
| Year | Enterprise GenAI spend | YoY change |
|---|---|---|
| 2024 | $11.5B | baseline |
| 2025 | $37B | +$25.5B (3.2×) |
4. AI’s Share of Global Venture Capital, 2022 vs 2025
In 2022, AI took roughly 30% of global VC. By 2025, that share had doubled to 61% — about $258.7 billion of $427.1 billion deployed. Source: OECD, February 2026; KPMG Venture Pulse Q4 2025.
| Year | AI share of global VC | AI VC ($B) | Total global VC ($B) |
|---|---|---|---|
| 2022 | 30% | — | — |
| 2024 | — | $252.3B (corp. AI investment, Stanford HAI) | $391.9B (KPMG) |
| 2025 | 61% | $258.7B | $427.1B+ (KPMG: >$500B all rounds) |
5. AI Model Benchmark Gains, 2023–2024
One-year gains (in percentage points) on three of the most-watched AI benchmarks. SWE-bench scores went from 4.4% in 2023 to 71.7% in 2024 — a +67-point jump in a single year. Source: Stanford HAI, AI Index Report 2025.
| Benchmark | 2023 score | 2024 score | One-year gain |
|---|---|---|---|
| SWE-bench (coding) | 4.4% | 71.7% | +67.3 pp |
| GPQA (graduate-level QA) | — | — | +48.9 pp |
| MMMU (multimodal) | — | — | +18.8 pp |
6. Enterprise LLM Market Share, 2023–2025
Share of enterprise LLM API spend by provider. Anthropic went from 12% to 40% in two years — overtaking OpenAI (which fell from 50% to 27%). Source: Menlo Ventures.
| Provider | 2023 | 2024 | 2025 | 2-year change |
|---|---|---|---|---|
| Anthropic | 12% | 24% | 40% | +28 pp |
| OpenAI | 50% | ~34% | 27% | –23 pp |
| 7% | ~12% | 21% | +14 pp | |
| Others | ~31% | ~30% | ~12% | –19 pp |
7. AI Infrastructure: Energy & Spending, 2024–2035
Global data-center electricity demand is projected to roughly double from 415 TWh in 2024 to about 945 TWh by 2030, with AI-accelerated servers growing ~30% annually. Source: IEA, Energy and AI.
Separately, IDC’s AI infrastructure spending tracker shows the capital side of the buildout — from $487B forecast for 2026 to over $1 trillion by 2029. Source: IDC.
| Metric | 2024 | 2026 | 2030 | 2035 | Source |
|---|---|---|---|---|---|
| Data-center electricity (TWh) | ~415 | — | ~945 | ~1,200 | IEA |
| AI-accelerated server growth | baseline | ~30% / year (vs ~9% conventional) | IEA | ||
| AI infrastructure spend | — | $487B | $1T+ (2029) | — | IDC |
8. AI & Jobs: Created vs Displaced by 2030
The World Economic Forum projects 170 million new roles created against 92 million displaced by 2030 — a net +78 million jobs, with 22% workforce churn and 39% of worker skills changing. Source: WEF, Future of Jobs Report 2025.
| Metric (by 2030) | Figure | Source |
|---|---|---|
| Jobs created | +170M | WEF |
| Jobs displaced | –92M | WEF |
| Net change | +78M | WEF |
| Workforce churn | 22% | WEF |
| Worker skills changing | 39% | WEF |
Methodology & sources
Every chart pulls directly from primary-source publications: McKinsey QuantumBlack (State of AI 2022–2025), Stanford HAI (AI Index 2025 & 2026), Menlo Ventures (State of Generative AI in the Enterprise), OECD (Venture capital in AI through 2025), KPMG (Venture Pulse Q4 2025), IDC (AI Infrastructure Spending), IEA (Energy and AI), World Economic Forum (Future of Jobs Report 2025), and Gartner (agentic AI forecasts). Where intermediate years are missing, the table shows a dash (—) rather than interpolated estimates. See our full methodology page.
Related Reports & Resources
Deep-dive pillars behind these charts: AI Adoption 2026 · Generative AI 2026 · Enterprise AI 2026 · AI Investment & Funding 2026 · AI Model Benchmarks 2026 · LLM Market Report 2026 · AI Infrastructure 2026 · AI Jobs Report 2026.
Year-by-year context: State of AI Timeline 2022–2026 · 2022 · 2023 · 2024 · 2025.
Key concepts: AI Agent · Generative AI · LLM · Frontier Model · Benchmark · Hyperscaler · GPU · Capex.