62%About 6 in 10of large US organizations ($1B+ revenue) are building, deploying or developing AI agents, up from 53% the quarter before (KPMG, Q3 2026)
62% of US organizations with $1 billion or more in revenue were building, deploying or developing AI agents in KPMG's Q3 2026 survey (24 July to 25 August 2026), up from 53% the quarter before. 25% were developing or running multi-agent systems.
+8.0 points since the previous figure: 54% (31 Mar 2026)
SurveyChecked at source, 23 Oct 2026LargeUSAAI agents · Adoption
AI agents at large US organizations (KPMG, Q3 2026)
Group
Organizations
Building, deploying or developing agents
62%
Defined no-autonomy zones for agents
49%
Multi-agent systems
25%
Source: KPMG LLP (US), AI Quarterly Pulse SurveyKPMG AI Quarterly Pulse, 314 US leaders at firms with $1B+ revenue, 24 Jul to 25 Aug 2026.digitaltreed.com/statistics
In plain words
What this number really says
Most big US companies now have AI agents in the works. Far fewer let agents act alone on risky decisions.
62%
building, deploying or developing AI agents
25%
working on multi-agent systems
49%
set high-risk uses where agents may not decide alone
Why you can trust it. KPMG survey of 314 US leaders at $1B+ firms. A consulting firm's survey, not a random sample, and the question wording changes between quarters.
Key terms
AI agent Software that plans and carries out steps toward a goal, often across several systems, with less human input than a chatbot.
Multi-agent system Several agents that pass work between them.
Human validation A person checks an agent's output before it is used.
Building, deploying or developing (as reported in Q3).
Q3 2026
62%
Survey of 24 Jul to 25 Aug 2026.
Q4 2026
Next
KPMG publishes quarterly; the next release is expected around December.
Compare
How 62% compares
This number
62%
USA Q3 2026
Latest
Quarter before
53%
Q2 2026, same measure
+9 pts
Multi-agent systems
25%
Q3 2026
-37 pts
Gartner CIO survey
17%
Organizations that have deployed agents (2026 survey)
-45 pts
Who it is for
Who should use this number, and how
IT and product leaders
Benchmark your agent plans against large US firms.
Most are past the idea stage.
Risk and compliance teams
See how peers limit agent autonomy.
49% set no-go zones for agent decisions.
Smaller firms
Know that big-firm numbers do not describe you.
Census: 24.6% of all firms use any AI.
Who it affects
Who feels this number
The same 62% means something different for each group.
Large enterprises
62%Agents in progress
Up 9 points in one quarter.
Workforce
44%Significant adoption
Share reporting significant workforce adoption of AI, up from 23% last quarter.
Governance teams
49%Limits set
Nearly half define high-risk uses where agents may not decide alone.
Gains and risks
What firms gain, and what can go wrong
Numbers from studies and surveys, each with its source.
Gains
44%
of organizations report significant workforce adoption of AI, up from 23% last quarter and 10% a year ago.KPMG Q3 2026 AI Pulse
25%
are developing or implementing multi-agent systems, up from 6% in each of the two quarters before.KPMG Q3 2026 AI Pulse
Risks
30%
build controls into their agents alongside monitoring and evaluation, down from 43% two quarters ago.KPMG Q3 2026 AI Pulse
49%
have defined high-risk uses where agents are not allowed to make decisions alone.KPMG Q3 2026 AI Pulse
Where it shows
Where this number has an impact
Oversight
In Q1 2026, 63% required human validation of AI agent outputs, up from 22% in Q1 2025.
Cost control
74% now include cost reviews in AI approval processes and 43% use usage or token budgets (all AI, not only agents).
The future
What this number says about what comes next
Forecasts below are made by others and linked to where they were published. Our own reading of the data is marked as ours.
Our reading, not a forecast
What the data suggests
The word "agent" is stretching. Survey wording moves from "deploying" to "building, deploying or developing". Read each number with its exact question.
Forecasts from other sources
Forecast40%
Enterprise applications integrated with task-specific AI agents by the end of 2026, up from less than 5% in 2025
As published by KPMG LLP (US), AI Quarterly Pulse Survey, Q3 2026. Standard errors are shown where the source gives them.
KPMG AI Quarterly Pulse (US, $1B+ firms)
Share
Survey
Building, deploying or developing AI agents
62%
Q3 2026
Same measure, quarter before
53%
Q2 2026
Developing or implementing multi-agent systems
25%
Q3 2026
Defined high-risk uses where agents may not decide alone
49%
Q3 2026
Build controls into agents plus monitoring
30%
Q3 2026
Actively deploying AI agents (older wording)
54%
Q1 2026
Require human validation of agent outputs
63%
Q1 2026
Why agent numbers range from 17% to 79%
Each survey defines "using agents" differently: deployed in production, scaling, experimenting, or "building, deploying or developing".
Most agent surveys ask leaders at large companies. None measures all US businesses yet.
Method and use
How it was measured, and how to use it
How it was measured
Publisher
KPMG LLP (US), AI Quarterly Pulse Survey
Source type
Survey: Sampled survey with a published method
What it measures
62% of large US organizations ($1B+ revenue) are building, deploying or developing AI agents, up from 53% the quarter before (KPMG, Q3 2026)
Data period
Q3 2026 (ends 25 Aug 2026)
Published by the source
24 Sep 2026
Who is counted
314 US-based C-suite and business leaders at organizations with $1 billion or more in revenue, 24 Jul to 25 Aug 2026.
In the source's words
Today, 62% of organizations report they are now building, deploying or developing AI agents, up from 53% last quarter.
Checked at source
23 Oct 2026: Read on kpmg.com (press release, 24 Sep 2026) on 2026-10-23. KPMG wording changes between quarters: Q1 2026 asked about "actively deploying" (54%).
Reuse
All rights reserved; quote briefly with credit. Quarterly survey of 200-320 US leaders at firms with $1B+ revenue; wording changes between quarters.
24 Sep 2026New data62% Q3 2026 release; Q2 2026 was 53% on this measure.
31 Mar 2026New data54% Q1 2026 release: "54% of organizations are actively deploying AI agents" (different wording).
Cite this number
APA
KPMG LLP (US). (2026). 62% of large US organizations ($1B+ revenue) are building, deploying or developing AI agents, up from 53% the quarter before (KPMG, Q3 2026). Via digitaltreed, https://digitaltreed.com/statistics/ai-agents/orgs-building-deploying-ai-agents
MLA
"62% of large US organizations ($1B+ revenue) are building, deploying or developing AI agents, up from 53% the quarter before (KPMG, Q3 2026)." KPMG LLP (US), AI Quarterly Pulse Survey, Q3 2026. digitaltreed, https://digitaltreed.com/statistics/ai-agents/orgs-building-deploying-ai-agents.
HTML link
<a href="https://digitaltreed.com/statistics/ai-agents/orgs-building-deploying-ai-agents">62% of large US organizations ($1B+ revenue) are building, deploying or developing AI agents, up from 53% the quarter before (KPMG, Q3 2026)</a> (KPMG LLP (US), Q3 2026)
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<p>Source: <a href="https://digitaltreed.com/statistics/ai-agents/orgs-building-deploying-ai-agents">62% of large US organizations ($1B+ revenue) are building, deploying or developing AI agents, up from 53% the quarter before (KPMG, Q3 2026), digitaltreed</a></p>
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FAQ
Questions about this number
How many companies use AI agents?
Among large US companies ($1B+ revenue), 62% were building, deploying or developing AI agents in KPMG's Q3 2026 survey. Gartner's 2026 CIO survey found 17% had deployed them.
Are AI agent deployments growing?
Yes. KPMG's measure rose from 53% to 62% in one quarter, and multi-agent work rose from 6% to 25%.
Do companies let AI agents make decisions alone?
Often not. 49% have defined high-risk uses where agents may not decide alone, and in Q1 2026 63% required human validation of agent outputs.
What is a multi-agent system?
Several AI agents that hand work to each other. 25% of large US firms were developing or running one in Q3 2026.
Related
More AI agents statistics
SurveyLargeUSA
25%
of large US organizations are developing or implementing multi-agent systems, up from 6% in each of the two quarters before (KPMG, Q3 2026)
Sample: 314 US-based C-suite and business leaders at organizations with $1 billion or more in revenue, 24 Jul to 25 Aug 2026.