AI and the future of nursing, making the AI–human partnership work, and more

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CURATED PICKS FOR YOUR DOWNTIME, FROM OUR EDITORS

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Brought to you by Alex Panas, global leader of industries, & Becca Coggins, global leader of functional practices and growth platforms

Welcome to the latest edition of The Weekend Read. We hope you find our perspectives useful. Let us know what you think at Alex_Panas@McKinsey.com and Becca_Coggins@McKinsey.com.

—Alex and Becca

Take a moment to explore some of the week’s highlights on AI and the future of nursing, scaling mental health in Santiago, making the AI–human partnership work, and more.

Nurse showing a patient medical data on a tablet with digital health interface overlays in a clinic.

It’s National Nurses Week in the United States, and a key question emerges: What does AI mean for the future of nursing? Despite strong belief in its potential, adoption remains limited—but if done well, AI could help enhance the nursing experience and strengthen patient care, according to Gretchen Berlin, Mhoire Murphy, and coauthors.

Enhance the nursing experience with AI

In Santiago, Chile, a quiet mental health crisis spans generations—from anxious teens to isolated seniors—yet access to care has struggled to keep pace. Healthy Santiago is reshaping care by embedding support in everyday settings, delivered by trained community members.

Dive into the McKinsey Health Institute case study

An image linking to the web page “The AI paradox in Europe’s consumer industries”

European consumer companies are pouring more investment into AI—but many are still struggling to turn that spending into meaningful business impact. Holger Harreis, Holger Hürtgen, Kim Baroudy, and Marcus Keutel unpack the AI paradox and what it will take to capture real value at scale.

Resolve the paradox

Pattern of blue and white human figures spaced apart, some marked with “AI” labels above them.

The future of work isn’t humans or machines—it’s both. Alexis Krivkovich and Anu Madgavkar talk about what AI can and can’t do, where humans will continue to add value, and how to make human–AI collaboration actually work.

Understand the AI–human partnership

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Stay focused

Jean-Paul Carvalh wearing a dark suit, white shirt, and patterned tie looks directly at the camera with a neutral, composed expression. He stands against a warm-toned, softly blurred background.

AI, strategy, and the future of work: Oxford economist Jean-Paul Carvalho

Professor Jean-Paul Carvalho explores how AI is reshaping cognitive work, organizations, and where business leaders can capture value at scale.

Tune in

Ayala Corporation: Thriving over seven generations

Jaime Augusto Zóbel de Ayala describes leading Ayala Corporation to grow and stay relevant while creating meaningful societal impact in the Philippines.

Create meaningful societal impact

—Edited by Joyce Yoo, editor, New York

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In Santiago, Chile, a quiet mental health crisis spans generations—from anxious teens to isolated seniors—yet access to care has struggled to keep pace. Healthy Santiago is reshaping care by embedding support in everyday settings, delivered by trained community members.﻿

﻿European consumer companies are pouring more investment into AI—but many are still struggling to turn that spending into meaningful business impact. Holger Harreis, Holger Hürtgen, Kim Baroudy, and Marcus Keutel unpack the AI paradox and what it will take to capture real value at scale.﻿

﻿The future of work isn’t humans or machines—it’s both. Alexis Krivkovich and Anu Madgavkar talk about what AI can and can’t do, where humans will continue to add value, and how to make human–AI collaboration actually work.﻿

﻿Understanding domestic nuclear fuel production options in the United States﻿