Bringing 100 years of strategy to AI

Bringing 100 years of strategy to AI

For more than a century, McKinsey has helped leaders navigate consequential decisions and transformations across industries, technologies, and economic cycles. That experience has built deep knowledge and pattern recognition — an ability to see what has worked, what hasn’t, and what questions matter most. It has also given us access to exceptional expertise across disciplines — and the ability to bring the right people, perspectives, and capabilities together around the problems that matter most.

Now we’re bringing that experience and access together with the latest advances in AI. AI and human judgment, working together, put previously out-of-reach problems within reach. We can draw on more knowledge, explore more possibilities, and bring together expertise in new ways — then build and implement solutions with our clients that could shape the future of their industries.

What AI Means For Your Career Here

You won’t experience AI from the sidelines. You’ll use leading AI tools in your everyday work and apply them to real client challenges, working alongside colleagues in strategy, technology, data science, design, and engineering.

Put harder problems within reach
Help leading organizations use AI to tackle questions that were previously too complex, time-consuming, or data-intensive to address in the same way.
Build as well as advise
Use leading AI tools — including proprietary McKinsey technology informed by our knowledge and ways of working — to develop, test, and implement solutions with clients.
Help shape what comes next
Work with leaders on decisions about AI and transformation that could change how their organizations operate, compete, and grow — and potentially help define the future of their industries.

Unleash the potential of AI and grow as a tech leader

Unleash the potential of AI and grow as a tech leader
Unleash the potential of AI and grow as a tech leader

QuantumBlack, AI by McKinsey, is where much of McKinsey’s specialized AI and technology expertise comes together. Its technologists, data scientists, engineers, designers, and strategists work with colleagues across McKinsey to help organizations turn AI into real-world impact.

If you join QuantumBlack, you’ll bring deep technical expertise to some of the most complex challenges facing leading organizations — and work across disciplines to build and implement AI solutions at scale.

Learn more about QuantumBlack, AI by McKinseyThe state of AI in 2026: On the road to ROI

What this looks like for clients — and your role

AI at McKinsey takes many forms: from helping leaders make better decisions to building new products, capabilities, and ways of working. Here are a few examples of colleagues putting AI into practice with clients.
Jonas Vingegaard, Giro d’Italia, Team Visma
Blog Post
How Team Visma | Lease a Bike and McKinsey are racing smarter with AI
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In cycling, races are won by seconds—and with an AI system that turns complex race inputs into actionable insights, coaches can make faster, smarter decisions when every second counts.
A group of students sitting at a classroom table, with a red-haired student in a green hoodie smiling and raising her hand while others, including one with a laptop, also participate.
Case Study
Expanding access to behavioral health care for California’s children and youth
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How the California Department of Health Care Services partnered with McKinsey to deliver behavioral health care to young people where, when, and how they need it most.
Two software developers collaborate at a workstation, reviewing code displayed on dual monitors in a bright office setting.
Case Study
When AI becomes part of the workflow: Redesigning how software gets built
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AI is already transforming how software is built—but most organizations are capturing only a fraction of its value. At Sonar, teams redesigned the product development life cycle and showed AI can unlock step-change gains in speed, quality, and scalability.
Case Study
From call to opportunity: Entel Connect reimagines customer conversations with McKinsey and Google Cloud
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A telecom company reimagines customer conversations with McKinsey and Google Cloud.
Explore more client case studies

How AI shows up in the work — no matter your role

You might use AI to explore scenarios, uncover patterns in complex data, build new solutions, or help clients embed AI into everyday operations — using a mix of leading external tools and technology we’ve built ourselves.
Arnout Verboven
Simulate thousands of scenarios
Arnout worked with Team Visma | Lease a Bike to improve how the team prepares for critical race decisions. They used AI to build a digital twin that runs thousands of race simulations — setting up scenarios 36x faster and helping coaches turn complex performance data into actionable race strategy.
Marie Cordes
Personalize coaching for 8,000 people
Marie helped build an AI-powered coaching engine to upskill 8,000 Deutsche Telekom employees. She used generative AI to turn millions of customer conversations into personalized learning and integrated the solution with the client’s data — helping drive a 14-point increase in customer satisfaction.
Dirk Hofland
Turn customer interactions into opportunities
Dirk needed to identify where AI could have the greatest impact on KPN’s customer service. They used AI to analyze thousands of customer interactions, surface the most common needs, and pinpoint high-impact opportunities — turning a complex set of data into clear priorities for the client.
Sofia Rodriguez Mancinelli
Turn AI insights into growth
Sofia helped Entel Connect turn more than 600,000 monthly customer conversations into opportunities for growth. She used AI-powered insights to help agents identify sales opportunities and worked directly with frontline teams to embed the tool into their daily work — contributing to a 40% increase in inbound sales in just 10 weeks.
Explore more client case studies

AI Learning

You’ll never stop learning AI here—and neither will we

AI is changing fast, so learning here evolves with it. And it’s tailored to your role and your work, rather than built around a one-size-fits-all course.

You can start with a self-paced path for your first AI-assisted project, then build your skills through live sessions and hands-on coaching connected to your team’s work. From there, credentialed learning and an accelerator with the authors of Rewired can deepen your ability to advise clients on AI strategy and transformation.

AI In Our Recruiting Process

How AI shows up in your recruiting experience

AI is part of how we work at McKinsey, and it also has a defined role in our recruiting process.
Hiring decisions are made by people
AI is not used to make autonomous hiring or interview-selection decisions. McKinsey recruiting teams personally review applications and resumes, and decisions about which candidates move forward are made by our recruiters and interviewers.
AI can help you prepare
Candidates invited to interview have access to our AI Prep Tool, designed to help them practice for the quantitative portion of our case interviews.
We’re testing new applications of AI
We are piloting a small number of AI-enabled interview experiences. If you are invited to participate in one, we’ll let you know in advance, and no additional preparation is required.
Learn more about our hiring process

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