STATISTICS

Stats

AI industry data — sourced, cited, and continuously updated. Funding flows, market sizing, talent migration, compute buildout, adoption curves, and safety benchmarks.

STAT PAGES
10
tracked
DATA POINTS
80
across all pages
CATEGORIES
5
MARKET / COMPUTE / FUNDING / TALENT / ADOPTION
10 pages
MARKET ~10K/mo
AI Company Valuations 2026 Valuation data for leading AI companies — private and public — tracking how markets price the AI industry's biggest players.
COMPUTE ~15K/mo
AI Energy Consumption Statistics 2026 Data on AI's energy footprint — data center power draw, per-query energy costs, carbon impact, and the growing tension between AI scaling and sustainability.
FUNDING ~18K/mo
AI Funding Statistics 2026 Key funding data for the AI industry — total investment, largest rounds, top investors, and year-over-year growth trends.
TALENT ~20K/mo
AI Jobs Statistics 2026 Data on the AI job market — open positions, salary benchmarks, skill demand, and the impact of AI on broader employment.
MARKET ~25K/mo
AI Market Size Statistics 2026 Global AI market sizing data — total market value, segment breakdowns, growth rates, and forward-looking projections through 2030.
COMPUTE ~12K/mo
AI Model Training Cost Statistics 2026 Data on the cost of training frontier AI models — historical trends, per-model estimates, and the economics of scaling.
ADOPTION ~60K/mo
ChatGPT User Statistics 2026 Comprehensive data on ChatGPT's user base — monthly active users, growth trajectory, paying subscribers, and demographic breakdowns.
ADOPTION ~12K/mo
Enterprise AI Adoption Statistics 2026 Data on how enterprises are adopting AI — deployment rates, spending, ROI metrics, and the gap between AI experimentation and production.
COMPUTE ~12K/mo
GPU & AI Compute Market Data on the AI accelerator market — GPU pricing, supply constraints, cloud compute costs, and the hardware landscape powering frontier AI.
MARKET ~8K/mo
LLM Context Window Comparison 2026 Data on context window sizes across major LLMs — token limits, effective retrieval accuracy, pricing implications, and real-world performance at scale.