70 AI Tools & Landscape Statistics for 2026

800 million#1 weekly active users of ChatGPT, announced by Sam Altman at OpenAI DevDay on 6 October 2025, up from 300 million in December 2024.

39%#2 of US adults aged 18-64 reported using generative AI in their work or personal life in 2024.

28%#3 of US workers reported using generative AI on the job in the same NBER survey.

78%#4 of organizations reported using AI in at least one business function in 2024, up from 55% the prior year.

71%#5 of organizations reported using generative AI specifically in at least one function in 2024.

65%#6 of organizations were using generative AI regularly in 2024, nearly double the 33% reported in 2023.

Marketing & sales#7 remained the most common business function for generative AI deployment, with 34% of organizations using it there.

76%#8 of professional developers were using or planning to use AI tools in their development process in 2024, up from 70% in 2023.

62%#9 of developers said they were currently using AI in their development process, with another 14% planning to soon.

81%#10 of developers cited "increased productivity" as the top benefit of AI tools in their workflow.

25%+#11 of all new code at Google was generated by AI, then reviewed and accepted by engineers, per Sundar Pichai in October 2024 ("more than a quarter").

25%#12 of US K-12 teachers used AI tools for instructional planning or teaching in the 2023-24 school year.

$2.50#13 per million input tokens for OpenAI's GPT-4o list price as of late 2024, with $10.00 per million output tokens.

$0.15#14 per million input tokens for OpenAI's GPT-4o mini, roughly 1/17 the cost of GPT-4o input tokens.

$3.00#15 per million input tokens for Anthropic's Claude 3.5 Sonnet list price, with $15.00 per million output tokens.

200,000#16 token context window for Claude 3.5 Sonnet on the standard API tier.

128,000#17 token context window standard for OpenAI's GPT-4o family.

2 million#18 token context window on Google's Gemini 1.5 Pro, the largest among major frontier APIs in 2024.

~280x#19 drop in inference cost for GPT-3.5-level performance, from $20 to $0.07 per million tokens between November 2022 and October 2024.

9x to 900x#20 per year decline in LLM inference prices at constant performance, depending on the task, per Epoch AI.

50%#21 discount on OpenAI's Batch API versus standard pricing, for jobs that can wait up to 24 hours.

90%#22 discount on Anthropic prompt-cache reads versus base input price; writing to the cache costs 25% more than base input.

$3.7 billion#23 in 2024 revenue reported for OpenAI, the bulk from API and ChatGPT subscriptions.

$1 billion#24 annualized revenue run-rate disclosed by Anthropic in late 2024.

~73%#25 share of Anthropic 2024 revenue from API customers rather than direct chat subscriptions, per The Information.

$20#26 per month standard ChatGPT Plus consumer subscription price unchanged since 2023.

$200#27 per month price of ChatGPT Pro when it launched in December 2024 with unlimited o1 access; Pro is now listed from $100 per month.

51#28 notable machine-learning models released by industry in 2023 alone, per Epoch AI's tracking cited in the AI Index.

~3 months#29 typical interval between major frontier-model releases by the top three labs (OpenAI, Anthropic, Google DeepMind) during 2024.

14 months#30 between GPT-4 (March 2023) and GPT-4o (May 2024).

o1-preview#31 launched September 12, 2024, was OpenAI's first publicly released reasoning-trained model.

3#32 distinct Claude 3 family tiers released by Anthropic on March 4, 2024 (Haiku, Sonnet, Opus).

June 20, 2024#33 release date of Claude 3.5 Sonnet, which Anthropic positioned as outperforming Claude 3 Opus at a fraction of the price.

Gemini 1.5#34 Pro launched February 15, 2024, introducing the 1M-token context window publicly previewed by Google DeepMind.

Llama 3#35 released April 18, 2024 in 8B and 70B sizes, with the 405B Llama 3.1 released July 23, 2024.

15.4 trillion#36 tokens used to pretrain Llama 3, more than seven times the volume used for Llama 2.

DeepSeek V3#37 released open-weight on December 26, 2024, claimed pretraining cost of approximately $5.6M for a 671B-parameter MoE model.

18 months#38 elapsed between OpenAI's GPT-4 release (March 2023) and the o1-preview release (September 2024), which marked the start of the reasoning-model paradigm.

1 million#39 public models on Hugging Face, a milestone crossed in late September 2024.

650 million#40 cumulative downloads of Llama models reported by Meta in December 2024.

~1.5 years#41 typical lag between a closed-source frontier capability and the first open-weight model matching it on standard benchmarks per State of AI 2024.

Llama 3.1 405B#42 was presented by Meta as the first openly available model comparable to leading closed models on benchmarks including MMLU, GSM8K and HumanEval.

$0.27#43 per million input tokens for DeepSeek V3 hosted inference, the lowest publicly listed price for a 600B+ parameter open model in early 2025.

Mixed licences#44 govern open-weight models: Qwen2.5 is Apache 2.0 for most sizes (3B and 72B use the Qwen License), DeepSeek-V3 code is MIT with a separate model licence, Mistral mixes Apache 2.0 and research or commercial licences, and Llama uses Meta's Community License.

51%#45 of enterprise generative-AI deployments used retrieval-augmented generation (RAG) in 2024, up from 31% in 2023.

44%#46 of organizations reported a measurable cost reduction from generative AI in at least one business function.

63%#47 of organizations reported a revenue increase from generative AI deployment in at least one function.

Inaccuracy#48 was the most commonly cited risk of generative AI in McKinsey's 2024 survey.

Cybersecurity#49 and intellectual-property infringement were among the next most-cited generative-AI risks.

$235 billion#50 total worldwide AI software, hardware, and services spending in 2024 per IDC's Worldwide AI and Generative AI Spending Guide.

$632 billion#51 projected worldwide AI spending by 2028 per the same IDC guide, implying a 29% CAGR from 2024.

$13.8 billion#52 enterprise generative-AI software spending in 2024, six times the 2023 figure of $2.3 billion per Menlo Ventures.

$25.2 billion#53 private investment into generative AI startups globally in 2023, an 8x increase from 2022.

$33.9 billion#54 private investment in generative AI in 2024 per Stanford AI Index 2025.

$67.2 billion#55 US private AI investment in 2023, far ahead of China at $7.8 billion and the UK at $3.8 billion.

77,000+#56 organizations had adopted GitHub Copilot by mid-2024, up 180% year over year.

$10/month#57 standard GitHub Copilot Individual subscription price, unchanged since 2022.

14%#58 average productivity increase for customer-support agents given a generative-AI assistant, in a study of 5,179 agents.

34%#59 productivity improvement for novice and low-skilled support agents, with minimal impact on experienced agents, in the same study.

55.8%#60 faster task completion for developers given GitHub Copilot in a controlled study by GitHub Research.

40%#61 reduction in time taken on a writing task, with output quality up 18%, among professionals given ChatGPT in a randomized experiment.

12.2%#62 performance improvement for management consultants on a creative-product task when given GPT-4, in a Harvard-BCG controlled study, with quality also rising 40%.

~80%#63 of the US workforce could have at least 10% of their work tasks affected by large language models.

19%#64 of US workers held jobs in which at least 50% of work tasks are highly exposed to LLM automation per the same study.

~$78 million#65 estimated compute cost to train GPT-4 per Stanford AI Index 2024 cost estimates.

~$191 million#66 estimated compute cost to train Google Gemini Ultra, the most expensive model training disclosed by the AI Index 2024.

~6 months#67 doubling time of training compute for notable models in the deep-learning era, a roughly ten-billion-fold increase since 2010, per Epoch AI.

15.4 trillion#68 training tokens used for Llama 3, processed on two custom-built 24,000-GPU H100 clusters operated by Meta.

~$5.6 million#69 compute cost claimed by DeepSeek for the V3 pretraining run, two orders of magnitude below Western frontier-lab estimates.

$30,000+#70 typical end-customer price of a single Nvidia H100 SXM GPU during the 2023-2024 supply crunch reported by The Information.