QuantumBlack, AI by McKinsey

Compliance, migrations and AI trust all move faster with clean data lineage. Most enterprises still map it by hand ✍️ In our latest Medium article, we explore how our AI for data lineage (AI4DL) pairs AI-powered detection with human validation to map where data comes from and how it changes, across legacy and cloud systems alike. The human check is what makes it hold up in regulated settings. The results so far: a stalled Databricks migration de-risked at ~98% lineage accuracy, migration mapping effort cut by 65%, and an estimated $30-100 million in potential savings from less manual tracing and remediation 🔓 Read the full article here: https://lnkd.in/euHKJqCq #AIbyMcKinsey #AI #GenAI #medium

AI agents are getting a lot of attention. But how many organizations are actually scaling them? 🧐 Our new State of AI 2026 survey shows that more organizations are moving beyond experimentation and starting to use AI agents at scale, from rethinking workflows to building software in-house. The bigger challenge is turning that adoption into real bottom-line impact. How many large enterprises do you think are currently scaling AI agents? Take a guess in the poll below 👇 Then dig into the full State of AI 2026 findings here: https://lnkd.in/eADN79Cd #AIbyMcKinsey #AI #StateOfAI2026

Technology is evolving fast. Keeping pace with AI takes more than new technical capabilities. It takes an environment where people can share what works, learn from one another, and build new skills together. In conversation with WIRED’s Katie Drummond, McKinsey & Company’s Daniel Swan explores why our ability to learn together could be a defining factor in the impact organizations create with AI. Watch the conversation to learn more: https://mck.co/4xvI2IY #AITransformation #AIbyMcKinsey #AI

Leading software and product development teams are already seeing twofold productivity gains from agentic workflows, but the gains aren’t simply the result of using more AI tools. 👀 In a recent article by McKinsey Tech, Media and Telecom, the authors explore what it takes to scale AI across software and product development, from redesigning the development lifecycle to the practices that distinguish organizations pulling ahead: https://lnkd.in/g7t5QUh6 #AIbyMcKinsey #AI #GenAI

When AI leaves the screen, it lands in power grids, factories, chips, labs — and with the people running them. Capability accelerates, technologies converge, deployment gets harder, and leadership choices matter more. Our Technology Trends Outlook 2026 tracks 14 technologies shaping the future: https://mck.co/4cQBahs #TechTrends #AIbyMcKinsey #FrontierTech

“This is a time for mavericks.” 💪 In a conversation with McKinsey People & Organization, our colleagues Lucia Rahilly, Bryan Hancock, and Brooke Weddle, together with Stanford economist Erik Brynjolfsson, broke down the downsides of “tokenmaxing”, why cost-cutting is the wrong reflex to AI’s evolving capabilities, and how to move beyond pilots at scale. Check out the full conversation: https://mck.co/4xP1L6Q #AIbyMcKinsey #DigitalTransformation

We’re open-sourcing part of QuantumBlack Design System (QBDS), now rebuilt for the AI era! 🎨 Design systems are evolving from component libraries into core infrastructure for humans and AI agents. In our new Medium article, we explain why design becomes more important as interface generation gets easier, and how an AI-native design system can make design judgment available across products and teams. QBDS is built on shadcn and Tailwind to help others scale better design. Read more here ➡️ https://lnkd.in/euiGKzXV #AIbyMcKinsey #AI #GenAI

Managing talent used to mean managing people. In the agentic age, leaders have a new kind of workforce to think about: humans and digital workers operating side by side. And both need to be managed for performance. In the latest McKinsey & Company Talks Talent episode, Brooke Weddle, Bryan Hancock, and Kate Smaje explore what it takes to lead this hybrid workforce, why simply adding AI to existing ways of working isn’t enough, and how organizations can rethink the relationship between people and technology. Because the opportunity isn’t just to build better agents. It’s to build a workforce where people and AI can perform better together. Catch the full episode here: https://lnkd.in/eJsRecZb #AIPodcast #AIbyMcKinsey #TechTransformation

What if stronger AI controls could actually help the public sector move faster? 👀 It might sound counterintuitive. But new McKinsey & Company research finds that when controls are built into AI-enabled workflows from the start, agencies can identify issues earlier, reduce rework, and create reusable guardrails that make each new use case faster and safer to deploy. Risk management doesn’t have to be a brake on AI progress. Done well, it can help create the trust and momentum needed to move beyond pilots and scale AI responsibly. Explore how public sector leaders can rethink AI risk management to accelerate impact: https://mck.co/3TjV0Lh #AIbyMcKinsey #AITransformation #PublicSector

Summer events? That’s a wrap. ☀️✅ What a season of ideas, conversations, and AI energy. From packed panels to conversations with leaders, founders, and builders, one question kept coming up - what does it really take to move AI from experimentation to impact? This summer took us across a packed calendar of events around the globe, bringing together some of the sharpest minds in tech, AI, and beyond. A big thank you to Founders Forum Group, VivaTech, LegalTechTalk, RAISE Summit, and the many other communities we joined along the way for the ideas, challenges, and conversations that kept us inspired. Summer may be wrapping up, but the conversations aren’t. We’re already looking forward to what’s coming up this fall 👀🍂