
In a world where AI threatens jobs, "Humility Is The New Smart" reveals why emotional intelligence trumps traditional smarts. Embraced by forward-thinking organizations like Google and Navy SEALs, it redefines success through an unexpected virtue - the courage to say "I don't know."
Edward D. Hess and Katherine Ludwig are the authors of Humility Is The New Smart: Rethinking Human Excellence In the Smart Machine Age, combining their expertise in organizational behavior and human performance to address the challenges of technological disruption.
Hess is a professor of business administration at the University of Virginia’s Darden School of Business. He is renowned for his research on growth mindsets and learning cultures and is the author of prior works like Learn or Die and Smart Growth—the latter named a Top 10 Business Book by Inc. Magazine.
Ludwig is a former corporate lawyer and research associate, bringing a practical lens to human-machine collaboration. Their book blends technology futurism and positive psychology, equipping professionals to leverage uniquely human traits like creativity and emotional agility in an AI-dominated workforce.
Hess’s insights have been featured in Fortune, Forbes, and Fast Company, while Ludwig’s legal acumen grounds their strategies in real-world applicability. The book’s framework is taught in academic programs like Utah State University’s Honors Book Labs and endorsed for its actionable approach to thriving alongside AI.
Humility Is the New Smart argues that in the Smart Machine Age (SMA), human success depends on excelling at skills machines lack: critical thinking, creativity, and emotional engagement. Authors Edward D. Hess and Katherine Ludwig propose adopting four "NewSmart" behaviors—Quieting Ego, Managing Self, Reflective Listening, and Otherness—grounded in humility, which they define as self-awareness, openness to growth, and prioritizing collective success.
This book is essential for professionals facing automation, leaders building adaptive teams, and parents preparing children for a tech-driven future. It’s also valuable for anyone interested in AI’s societal impact, personal growth, or fostering innovation in workplaces. The practical strategies are particularly relevant for educators and entrepreneurs navigating rapid technological change.
Yes—its insights remain critical as AI continues reshaping industries. The book provides actionable methods to enhance cognitive flexibility, collaboration, and emotional intelligence, which are increasingly vital for staying competitive. Its focus on humility as a strategic advantage aligns with modern organizational trends toward psychological safety and continuous learning.
The authors reject traditional metrics like knowledge retention, defining “smart” as the ability to think critically, innovate, and connect empathetically. This “NewSmart” mindset prioritizes curiosity over certainty and frames humility as a strength that enables lifelong learning and effective teamwork in the SMA.
These behaviors help humans excel where machines cannot.
Humility here is a mindset of accurate self-assessment: acknowledging limitations, staying open to new ideas, and valuing others’ contributions. It’s not self-deprecation but a proactive stance that fuels growth and collaboration, countering ego-driven barriers to innovation.
The book advocates shifting from individualistic “big me” cultures (focused on personal achievement) to collaborative “big us” cultures that prioritize team success. This fosters environments where NewSmart behaviors thrive, enabling organizations to adapt faster in the SMA.
Absolutely. By reducing ego clashes and fear of failure, humility enhances psychological safety, creativity, and knowledge-sharing. Teams practicing reflective listening and “otherness” make better decisions and innovate more effectively, according to the authors.
While the book is praised for its timely thesis, some readers note a lack of step-by-step implementation guides for organizations. Limited peer-reviewed studies on the “NewSmart” framework are cited, though the arguments draw on multidisciplinary research.
Unlike technical leadership manuals, it focuses on human excellence in an automated world. It complements works like Atomic Habits (behavioral change) and Dare to Lead (vulnerability) but uniquely addresses AI-driven disruption through humility.
Edward D. Hess is a UVA Darden professor and expert in organizational learning, authoring 13 books on growth and innovation. Katherine Ludwig, a former corporate lawyer, brings insights on human-machine collaboration. Their combined expertise grounds the book in academic and practical rigor.
As machines handle routine tasks, the authors argue that humans must master “high-order” skills like creative problem-solving and empathy—areas where AI struggles. The book’s framework helps workers future-proof their careers by focusing on irreplaceable human strengths.
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Laziness is built deep into our nature.
You are not your idea.
We can be blind to the obvious.
I'm good at not knowing.
I ask.
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Imagine walking into work tomorrow to find your desk occupied by a machine that does your job better, faster, and without complaint. This isn't science fiction-it's rapidly becoming reality. Within the next decade, up to 47% of U.S. jobs could be automated as artificial intelligence, robotics, and deep learning technologies transform our economy. While previous technological revolutions primarily replaced manual labor, today's smart machines are coming for knowledge workers-accountants, managers, doctors, lawyers, and teachers. The evidence surrounds us. Machines now write sports columns, analyze legal documents, drive cars, and diagnose diseases-often outperforming human experts. When Google's DeepMind defeated world champion Lee Se-dol at Go in 2016, it shocked experts who thought such a feat was at least a decade away. Meanwhile, economic impacts are already visible: despite productivity growing 107% since 1973, average workers earn 13% less, with income inequality reaching levels not seen since 1929. What remains for humans? We'll be needed primarily for skills machines can't yet master: critical thinking, innovation, creativity, and emotional engagement. Most workers will need to think more like scientists, entrepreneurs, and artists while better connecting with others emotionally. The problem? Most of us haven't been trained for these skills. We've been conditioned to value grades over mastery, competition over collaboration, and avoiding failure over experimentation-precisely the opposite of what we now need.