That elusive Eureka moment: Every leader strives for it—but it can’t be forced. And as Harvard Business School Professor Linda Hill argues in her new book Genius at Scale: How Great Leaders Drive Innovation (Harvard Business Publishing, March 2026), innovation is less about a flash of insight than about creating the conditions for breakthrough ideas to take hold and scale. In this episode of McKinsey Talks Talent, Hill speaks with McKinsey leaders and talent experts Brooke Weddle and Bryan Hancock, along with Global Editorial Director Lucia Rahilly, about the roles and capabilities that successful innovators share—and about how to create a culture that encourages everyone to undertake the hard, risky work of innovation to drive organizational performance.

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Being yourself at work has become a corporate mantra—and it certainly started in a well-meaning way. But it can also have significant downsides, according to Tomas Chamorro-Premuzic, author of Don’t Be Yourself: Why Authenticity Is Overrated (and What to Do Instead). In this episode of McKinsey Talks Talent, Chamorro-Premuzic joins McKinsey leaders and talent experts Brooke Weddle and Bryan Hancock, as well as Global Editorial Director Lucia Rahilly, to explore what authenticity really means in the workplace, when it helps and hurts, and what may matter more for employees looking to accelerate their leadership trajectory in the age of AI.

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Manufacturing is back at the center of the US economic agenda. Yet the sector faces a persistent talent shortage—and to bridge it, leaders will need to rethink how they attract, train, and retain a new generation of manufacturing employees. “Manufacturers need to be driving the conversation, not waiting for the workforce ecosystem to arrive at their door,” says Carolyn Lee, President and Executive Director of the Manufacturing Institute (MI). On this episode of McKinsey Talks Talent, Lee joins McKinsey leaders Brooke Weddle, Bryan Hancock, and Tyler Freeman, along with Global Editorial Director Lucia Rahilly, to talk about what needs to change, as automation advances and employees’ expectations evolve, to enable US manufacturing to thrive in the age of AI.

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