Agent Statistics

The state of AI agents, in numbers

A curated set of citable statistics on agent adoption, hiring, governance and ROI. The figures drawn from our own live indexes update on their own — and every stat copies as a ready-to-paste, attributed quote.

2,064open agentic roles64%of AI hiring is agentic35frameworks tracked

Quote us in one click. Every figure below is dated and sourced. Hit Copy quote on any stat for a ready-to-paste line with its attribution built in. Our index figures are published under CC BY 4.0.

The numbers only we have

Computed live from the Get Ready For Agents indexes — updated automatically, so a quote from this page is never stale. These are the figures that put your name in the citation.

More ways to break it down

The same live index, sliced four ways. Every breakdown copies as a single attributed line.

AI hiring by discipline

Of 3,235 tracked AI postings — building roles dominate; the control functions barely register.

  • Agent engineering 2,016
  • AI / ML engineering 773
  • Agent ops & infra 155
  • AI product 127
  • Field & solutions 66
  • Evaluations & quality 43
  • AI security 33
  • Governance & risk 22

Who is hiring the most

Companies ranked by open agentic-role count.

  • Salesforce 139
  • Databricks 120
  • OpenAI 86
  • Palantir 65
  • Adobe 60
  • LangChain 60
  • Citi 58
  • NVIDIA 48

The skills agents demand

Most-requested skills across agentic roles.

  • Python 1,081
  • Cloud 760
  • RAG 605
  • MCP 478
  • LangChain 433
  • Kubernetes 401
  • Multi-agent 374
  • TypeScript 343
  • Prompt engineering 322
  • Vector DB 305

Frontier labs vs. enterprise

Share of each cohort's AI roles that are specifically agentic.

  • Frontier AI labs 67%
  • Enterprise 59%

Australia vs. the USA

The same index, split by country. Australia's AI hiring skews more agentic than the United States.

Australia
63tracked AI roles
70%are agentic
28companies hiring
Top employers
DatabricksCommonwealth BankMaincodePalantirMongoDB
United States
1,470tracked AI roles
62%are agentic
155companies hiring
Top employers
DatabricksOpenAIAnthropicScale AILangChain

The industry, from high-authority sources

A deliberately small, curated set — named analysts, research bodies and operator-reported production numbers only. Thin or unverifiable claims are left out on purpose, so everything here is safe to cite.

Adoption & the reality gap

Everyone is trying agents. Far fewer are scaling them.

The headline from every major 2025–26 survey is the same: experimentation is near-universal, but production and measurable value are still the exception.

40%+

Over 40% of agentic AI projects will be scrapped by the end of 2027, driven by escalating costs, unclear business value, and inadequate risk controls.

Gartner, 2025 ↗
62% → 23%

62% of organisations are at least experimenting with AI agents, but only 23% are actively scaling them.

Governance & oversight

The controls are lagging the deployments.

Agents are reaching production faster than the governance, evaluation, and oversight around them — the exact gap our own indexes were built to measure.

ROI in production

Where agents are working, the numbers are large.

Operator-reported results from named enterprises running agents at scale. Each figure is self-reported by the company named — quote them as such.

2.3M

Klarna's AI assistant handled 2.3 million customer conversations in its first month, cutting average resolution time from 11 minutes to under 2.

Klarna, 2024 ↗
360,000

JPMorgan's COiN platform reviews 12,000 commercial credit agreements in seconds — work that previously consumed roughly 360,000 lawyer-hours a year.

JPMorgan Chase ↗
85%

Salesforce's Agentforce resolves around 85% of incoming customer service requests autonomously on Salesforce's own help portal.

Salesforce ↗
280,000

Morgan Stanley's DevGen.AI reviewed 9 million lines of legacy code, saving an estimated 280,000 developer-hours.

Our own figures (Jobs, Governance and Agent indexes) are primary data published by Get Ready For Agents under CC BY 4.0. External figures are attributed to their original source — cite that source directly. Operator-reported results are self-reported by the company named.

Agent statistics, answered.

The figures people ask us for most — with the current numbers baked in.

How many open AI agent jobs are there?

As of July 2026, the Get Ready For Agents Jobs Index tracks 2,064 open agentic AI roles across 214 companies — about 64% of all tracked AI hiring. The figures update automatically from live job postings.

What share of AI hiring is specifically for agents?

Around 64% of tracked AI job postings are specifically agentic — building or running AI agents rather than general machine-learning work. At frontier AI labs that rises to 67%.

How many AI governance frameworks are there?

The Get Ready For Agents Governance Index tracks 35 AI governance frameworks in force across 16 countries and 4 regions, updated monthly from official regulator and standards-body sources.

Can I cite these statistics?

Yes. Every figure on this page is dated and sourced. Our own index figures (Jobs, Governance, Agent) are published by Get Ready For Agents under CC BY 4.0 — quote them with attribution. External figures carry their original source; cite that source directly.

Want the numbers on your own agents?

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