State of AI in 2025 — Near-Universal Adoption, Concentrated Value

Last updated: June 2026. Reviewed by Report AI editorial. Every figure on this page is linked to its primary source.

STATE OF AI 2025 — KEY DATA POINTS

88%

Organizations using AI
near-universal
McKinsey Nov 2025

$37B

Enterprise GenAI spend
3.2× 2024
Menlo Ventures

61%

of global VC went to AI
$258.7B
OECD

2025 was the year AI adoption became near-universal — and the year the value gap got harder to ignore. Organizational AI use reached 88%, 23% of organizations were scaling agentic AI with another 39% experimenting (McKinsey), enterprise generative-AI spending tripled to $37 billion (Menlo Ventures), and AI captured 61% of all global venture capital at $258.7 billion (OECD). Yet only about 6% of organizations qualified as “AI high performers,” and only 39% attributed any EBIT impact to AI.

Executive summary

• Adoption went near-universal. 88% of organizations used AI in at least one function by late 2025 (McKinsey).
• Agentic AI scaled. 23% of organizations were scaling agentic systems with another 39% experimenting; Anthropic’s enterprise LLM share hit 40% — overtaking OpenAI’s 27%.
• Capital broke records. AI took 61% of global VC ($258.7B of $427.1B); KPMG put total global VC above $500B for the year.
• Value stayed concentrated. Only ~6% of organizations were “AI high performers”; only 39% reported any EBIT impact — the defining tension of the year.

Adoption — the curve flattens near the top

McKinsey’s November 2025 State of AI survey found 88% of organizations now use AI in at least one business function, up from 78% a year earlier. 23% of organizations have moved an agentic AI system into scaled production, with another 39% experimenting. Yet the EBIT-impact figure barely moved — only 39% of organizations attribute any EBIT impact to AI, and only about 6% qualify as “AI high performers,” the small group that redesigns workflows around AI rather than bolting it on (McKinsey).

Enterprise spending tripled

Menlo Ventures’ 2025 State of Generative AI in the Enterprise reported enterprise GenAI spend of $37 billion, roughly 3.2× the $11.5 billion spent in 2024, split roughly $19B applications / $18B infrastructure. Coding dominated departmental application spend at ~55% (~$4 billion), a category in which Anthropic took 54% market share vs. OpenAI’s 21%. The broader enterprise LLM API share also flipped: Anthropic 40% / OpenAI 27% / Google 21%, with the top three accounting for ~88% of usage.

Metric	Figure	Source
Enterprise GenAI spend	$37B (3.2× 2024)	Menlo Ventures
Anthropic / OpenAI / Google enterprise LLM share	40% / 27% / 21%	Menlo Ventures
Coding-market share (Anthropic vs OpenAI)	54% vs 21%	Menlo Ventures
Orgs scaling agentic AI	23%	McKinsey

A record year for AI capital

2025 was the biggest venture year on record — and AI drove almost all of the growth. The OECD reports that AI firms took 61% of global VC in 2025 ($258.7 billion of $427.1 billion), more than double their 30% share in 2022. KPMG’s Venture Pulse put total global VC above $500 billion for the year, with Q4’25 hitting $138 billion — the highest quarterly total in 14 quarters. OpenAI closed 2025 at a $500B valuation; Anthropic at $183B. See AI Investment & Funding 2026 for the full picture.

Infrastructure became the bottleneck

The compute build-out moved from “strategic priority” to physical constraint. IDC reported AI infrastructure spending of roughly $90 billion in Q4 2025 alone, forecasting $487B for full-year 2026 and exceeding $1 trillion by 2029 (IDC). Hyperscaler capex commitments for 2026 alone topped $600 billion. For deeper coverage, see AI Infrastructure 2026.

Frequently asked questions

How many organizations used AI in 2025?

88% of organizations used AI in at least one function by late 2025, up from 78% a year earlier, per McKinsey’s State of AI.

How much did enterprises spend on generative AI in 2025?

About $37 billion — roughly 3.2× the 2024 figure — according to Menlo Ventures’ 2025 State of Generative AI in the Enterprise.

How much went into AI venture funding in 2025?

AI firms took 61% of global venture capital in 2025 — about $258.7 billion of $427.1 billion deployed — per the OECD. KPMG put total global VC above $500 billion for the year.

Did 2025 actually generate ROI?

For most organizations, not yet. Only 39% reported any EBIT impact from AI, and only about 6% qualified as “AI high performers” — the gap between adoption and realized value was the defining tension of the year.

Data sources & methodology

1. McKinsey QuantumBlack — The State of AI, November 2025.
   Verified data points: 88% organizational AI use; 23% scaling agentic, 39% experimenting; 39% EBIT impact; ~6% high performers.
   Source: mckinsey.com
2. Menlo Ventures — 2025: The State of Generative AI in the Enterprise.
   Verified data points: $37B enterprise GenAI spend (3.2× YoY); Anthropic 40% / OpenAI 27% / Google 21% enterprise LLM share; 54% vs 21% coding share.
   Source: menlovc.com
3. OECD — Venture capital investments in artificial intelligence through 2025, February 2026.
   Verified data points: AI = 61% of global VC in 2025 ($258.7B of $427.1B).
   Source: oecd.org
4. KPMG — Venture Pulse Q4 2025.
   Verified data points: Global VC >$500B in 2025; Q4’25 = $138B.
   Source: kpmg.com
5. IDC — AI Infrastructure Spending, 2026.
   Verified data points: ~$90B AI infrastructure in Q4 2025.
   Source: idc.com

Related pages: State of AI: Year-by-Year Timeline · State of AI in 2024 · Enterprise AI Statistics 2026