Sourced · Dated · Updated monthly

AI, BY THE
NUMBERS.

The one-stop source for AI statistics, reports and trends — adoption, enterprise use, investment, jobs, and the technology reshaping every industry.

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Figure of the week W44 · 2026
Meta’s El Paso AI campus, $ billions
$13.0
$12.5
$4.9
$2.3
Meta’s residual-value guarantee Debt financing BlackRock cash in Meta assets in
MEDIUM confidence Meta Form 10-Q, quarter ended 30 Sep 2026 · filing text via search; sec.gov not reachable from our environment Full figure →

AI by the numbers — 2024 to 2026

Updated August 2026

Every headline figure is primary-sourced and dated. Intermediate years in the spend series are interpolated from Gartner’s published growth rates and marked DERIVED.

Organizations using AI
88%
’24
’25
’26
McKinsey · +16 pts
Worldwide AI spend
$2.59T
’24
’25
’26
Gartner · +47% YoY
Use gen AI at work
72%
’24
’25
’26
McKinsey · +39 pts
Inference cost, GPT-3.5
280×
cheaper to serve than two years ago.
Stanford HAI
Model Watch

Assistants, countries, ratings — one view.

Technical Performance →
Leading AI assistants — weekly active users
ChatGPT900M
Gemini650M
Meta AI600M
Copilot220M
Claude80M
Perplexity30M
Provider-reported · 2026 · not independently audited · mixed bases — why published user counts disagree →
Which AI model leads in each country
United StatesChatGPT61.7%
EuropeChatGPT70.8%
ChinaDoubao382M MAU
South KoreaHyperCLOVA Xlanguage
RussiaPerplexity~48%
IndiaChatGPT198M users
JapanChatGPT+34.1%
BrazilChatGPT#3 by traffic
See every country, and why →
AI models, rated — Sept 2026
01GPT-5.6 Sol●●●●●
02Claude Opus 5.5 RE-RATE DUE●●●●○
03Gemini 3.1 Pro●●●●○
04Qwen3.8-Max CN●●●●○
05Kimi K3 CN · OPEN●●●●○
06Qwen3.8-27B CN · 24GB GPU●●●●○
Full ratings →
The open-weight shift — who actually ships weights, October 2026
52

Intelligence Index of Qwen3.8-27B — a model that fits a single 24GB consumer GPU. Released 14 Aug 2026, Apache 2.0.

~100×

smaller than Kimi K3’s 2.8 trillion parameters — and only five index points behind it.

61.7

SWE-bench Pro for that same 27B model, against 64.7 for Grok 4.5. Three points, on agentic coding.

3B

downloads of Alibaba’s models — past Meta and Google. The US frontier has since shipped one: Meta’s Muse Glimmer 30B, Apache 2.0, 10 Aug 2026.

Artificial Analysis · Bloomberg · Sept 2026 · index scores are directional, not absolute · Corrected 28 Oct 2026: this block previously read “the US frontier ships no weights at all”, which Meta’s Muse Glimmer 30B (Apache 2.0, 10 Aug 2026) falsifies. Published trackers disagree sharply on Glimmer’s index score, so none is quoted here; every source that compares the two ranks it below Qwen3.8-27B. Chinese models, ranked →

Straight answers, sourced

Is “everyone’s using AI” just hype?

Not really — 88% of organizations now use AI in at least one function. The catch: only a slim minority see real profit yet. (McKinsey)

Is the world spending trillions on AI?

Yes — about $2.5 trillion in 2026, more than the GDP of all but a handful of countries. (Gartner)

Is AI getting cheaper or more expensive?

Both. Running yesterday’s models got ~280× cheaper in two years. (Stanford HAI)

Compare Tool

The same figure, year over year.

Ten sourced comparison threads — models, laws, spend, adoption — each figure dated and rated, 2022–2030.

Worldwide AI spend · 2025$1.76T
Worldwide AI spend · 2026$2.59T
Gartner · May 2026 · HIGH
Open Compare →
Methodology

How we rate confidence

High

Stated directly in a primary source — a study, filing, or official dataset — and dated.

Medium

Reported by credible secondary coverage, or values that differ slightly across write-ups.

Derived

Computed by Report AI — interpolations and extrapolations, always labelled and explained.

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