
In "Future Skills," Bernard Marr reveals the 20 essential competencies for digital-era success. While AI threatens 85 million jobs, Marr shows how mastering both technical literacy and human soft skills can position you for the 97 million new roles emerging in our AI-collaborative future.
Bernard Marr, bestselling author of Future Skills: The 20 Skills and Competencies Everyone Needs to Succeed in a Digital World, is an internationally recognized futurist and strategic advisor at the intersection of business, technology, and data-driven innovation.
Born in Germany and based in Cambridge, England, Marr leverages over two decades of expertise—including advisory roles for Fortune 500 companies like Walmart, Microsoft, and the United Nations—to address the urgent need for workforce adaptation in the digital age.
His 19+ acclaimed books, including The Future Internet, Business Trends in Practice, and Generative AI in Practice, distill complex technological shifts into actionable strategies.
As LinkedIn’s top-ranked UK business influencer (1.5M+ followers) and a Forbes columnist, Marr combines academic rigor from his Cambridge University education with real-world insights from advising governments and global institutions like NATO. Future Skills builds on his legacy of empowering professionals through frameworks adopted by organizations worldwide, cementing his status as a trusted voice in future-ready leadership.
Future Skills outlines 20 essential competencies for thriving in a digital world, including digital literacy, critical thinking, emotional intelligence, and cultural adaptability. Bernard Marr emphasizes balancing human strengths with emerging technologies, preparing readers for AI-driven workplaces and globalized economies. The book blends practical strategies for skill development with insights into trends reshaping industries by 2030.
Professionals navigating AI-driven industries, career changers, and educators seeking modern skill frameworks will benefit. It’s ideal for those worried about automation replacing jobs (85 million by 2025) or seeking to leverage human-AI collaboration (97 million new roles). Marr’s advice also targets individuals in traditional education systems lacking soft-skill focus.
Yes—Marr’s actionable roadmap helps readers future-proof careers by mastering skills machines can’t replicate, like creativity and empathy. Reviewers praise its clarity on balancing technical knowledge with human-centric abilities, calling it “essential for thriving in workplace revolutions”.
Critical thinking (combating misinformation), emotional intelligence (managing workplace relationships), and cultural intelligence (navigating diverse teams) are core. Marr argues these “soft skills” will dominate future hiring, as they enable collaboration in tech-heavy environments.
Marr predicts AI will automate 85 million jobs by 2025 but create 97 million new roles requiring human-AI collaboration. He advises focusing on skills like adaptability and digital fluency to transition into emerging fields like data ethics or AI governance.
Marr stresses continuous learning over deep technical expertise.
Unlike technical handbooks, Marr prioritizes human-centric skills (e.g., empathy over coding). It’s closer to Atomic Habits in actionable frameworks but tailored for digital-era challenges like AI ethics and remote teamwork.
“The future isn’t about competing with machines but harmonizing human creativity with technological power.” This highlights Marr’s thesis: success lies in leveraging human strengths alongside AI.
It’s the ability to collaborate across global, diverse teams by understanding cultural norms and communication styles. Marr ties this to remote work trends, advising readers to practice active listening and study international business customs.
Some reviewers note it prioritizes broad strategies over industry-specific tactics. However, its focus on adaptable frameworks suits readers facing unpredictable tech shifts.
By teaching reskilling techniques (e.g., microlearning) and mindset shifts (embracing “lifelong learning”), Marr equips readers to pivot into roles like AI training or cybersecurity.
With AI accelerating workplace changes, Marr’s 20 skills—like ethical decision-making and virtual collaboration—remain critical. Updated examples in recent editions address generative AI tools like ChatGPT.
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재미있고 매력적인 방식으로 책을 즐기세요
Continual learning [is] the new normal.
Data isn't just an important business asset-it's arguably the most valuable resource in the world.
Data for its own sake is pointless.
Future Skills의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.
Future Skills을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

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"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."
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"It is great for me to learn something from the book without reading it."
"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."
"Makes me feel smarter every time before going to work"
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What would you tell your younger self if you knew that most careers awaiting today's graduates haven't been invented yet? Not a few niche roles-85% of them. We're standing at the edge of what experts call the fourth industrial revolution, where AI, automation, and interconnected technologies are reshaping everything we thought we knew about work. But here's the surprising part: this isn't a story about robots stealing our jobs. It's about technology finally freeing us to do what humans do best-create, empathize, think critically, and solve complex problems. The question isn't whether you'll have a place in this new world, but whether you're developing the skills that will make you indispensable in it. As automation increases, technical skills become more valuable, not less. An accountant without financial management skills won't succeed regardless of their emotional intelligence. A nurse without medical knowledge can't be saved by creativity alone. Technical skills-the specialized knowledge particular to your field-remain the foundation of professional competence. But here's what's changing: hairstylists now use augmented reality mirrors, truck drivers work alongside autonomous vehicle technology, and radiologists collaborate with AI-enabled scanners. The jobs aren't disappearing; they're transforming.