Insights on Artificial Intelligence

From machine learning operations and organizational change to ethical considerations and emerging use cases, this is QuantumBlack, AI by McKinsey’s latest thinking on how organizations can most effectively and responsibly use AI to create business value.

Featured Insights

Is that AI agent worth it? Agentic economics and the modern operating model

As companies focus on spiraling AI costs, they need to make sure not to lose sight of the real prize.
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Article
Rewiring customer experience for the agentic era
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As AI agents take on moment-to-moment decisions, leading companies are redesigning customer experience from predefined journeys to dynamic, cross-channel orchestration.
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Report
The symbiotic enterprise
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Advances in cognitive and physical AI are reinventing enterprise execution—ushering in a new organizational model built around human–AI collaboration.
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Interview - McKinsey Quarterly
Cost versus value: Managing agentic AI system performance
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Per-token pricing has stopped being a useful measure for what enterprises actually pay for gen AI. A conversation with David Tepper, CEO of Pay-i, delves into the new economics of measurement.
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Article
AI data readiness: The key to scaling impact
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As companies push their AI pilots to scale, data is emerging as a constraint. Leaders are prioritizing data readiness, connecting structured and unstructured data into a governed, reusable foundation.
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Insights Collection

The new economics of AI

A leadership guide to creating, governing, and scaling value with AI.

Featured publication

Book jacket cover of Rewired Second Edition
Book

Rewired, second edition

This updated edition offers brand-new insights into cutting-edge AI solutions—and what it takes to implement them—as well as the new economics of digital and AI transformations.

AI for the enterprise

A path to resilience and renewal: A collection
View the collection

Essential Knowledge

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Survey
The state of AI in 2025: Agents, innovation, and transformation
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Almost all survey respondents say their organizations are using AI, and many have begun to use AI agents. But most are still in the early stages of scaling AI and capturing enterprise-level value.
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Report
Seizing the agentic AI advantage
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A CEO playbook to solve the gen AI paradox and unlock scalable impact with AI agents.
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Report
McKinsey Technology Trends Outlook 2025
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Which frontier technologies matter most for companies in 2025? Our annual tech trends report highlights the latest technology breakthroughs, talent trends, use cases, and their potential impact on companies across sectors.
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Report
The economic potential of generative AI: The next productivity frontier
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Generative AI is poised to unleash the next wave of productivity. We take a first look at where business value could accrue and the potential impacts on the workforce.

Industry perspectives

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Article
Beyond productivity: How AI creates value in private equity
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Private equity–backed companies that broadly embrace AI have median revenue multiples more than twice those of companies focused solely on productivity initiatives.
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Article
From campaigns to continuous growth: AI capabilities shaping marketing
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Capabilities built around insights, creativity, personalization, agentic commerce, and orchestration form the five core pillars of the future of marketing.
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Article
B2B pricing: Navigating the next phase of the AI revolution
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Agentic AI promises a fundamental shift in how B2B pricing is set, managed, and optimized to drive a step change in both efficiency and effectiveness.
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Podcast
From dashboards to decisions: Empowering merchants with agentic AI
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Agentic AI can automate routine work and improve merchandising decisions at scale. Two McKinsey experts discuss what it takes to translate potential into performance.

DATA SCIENCE FOR PRACTITIONERS

Insights from our Medium blog by data science professionals, for data science professionals.
Framework-Centered Design
QuantumBlack Medium blog post

Unlocking the value of clean, trusted data

Just as water keeps cities and industries alive, data keeps modern organizations moving. McKinsey research shows that data-driven organizations are 23 times more likely to acquire customers, and 19 times more likely to be profitable. Data is crucial to the decision-making that supports innovation, but like water, it only creates value when it flows clearly and reliably. When data flows are opaque or unreliable, even the most advanced risk engines and AI models cannot be trusted. If data is flawed, every decision downstream is compromised.
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More insights

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Article
Securing the agentic enterprise: Opportunities for cybersecurity providers
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The rise of agentic AI is exposing enterprises to new cybersecurity risks, creating extensive opportunities for providers that...

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