Every big project—whether it’s creating new technology, developing a fresh line of sneakers, or opening a neighborhood café—requires a major investment to get off the ground. Unfortunately, most big projects flop with customers. Too many teams waste time, money, and opportunity because they follow the wrong strategy and lose sight of what really matters: Do people want what you’re making? Does your solution click with customers?

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

Since the start of this century, businesses have confronted a series of extreme and constant disruptions, including technological upheavals, a pandemic, and a global financial crisis. As a result, today’s leaders, from startup founders to the managers of global giants, face unprecedented pressures from their bosses, investors, customers, peers, suppliers, and employees. For many, it’s a recipe for disaster. Part of the problem is that these challenges, while acutely felt, are rarely articulated in a way that makes them graspable and actionable.

The breakthrough concepts of Pattern Breakers come from the observations of Mike Maples Jr., a seasoned venture capitalist, who noticed something strange. Start-ups like Twitter, Twitch, and Lyft had achieved extraordinary success despite their disregard for “best practices.” In contrast, other startups deemed highly promising often failed, even when they seemed to do everything right. Seeking answers, Maples and coauthor Peter Ziebelman set out to discover the hidden forces that drive extraordinary start-up success.

Ilya Strebulaev has spent the last two decades at Stanford studying VCs’ counterintuitive approaches to decision-making, and the reasons behind the success and failure of corporate innovation efforts. Alex Dang, a senior leader at McKinsey and Amazon, has seen up close the impact VCs’ thinking and mechanisms can have on a business’ success. Together in The Venture Mindset, they present nine distinct principles that can help anyone looking to transform their business and achieve extraordinary results, no matter the industry.

Humans have always been good at inventing tools that change the way we live and work—though not always good at adapting to those changes. Consider how the internet has given us instant access to gigabytes of data and yet has made us more distracted. Or how social media has enabled us to be more connected than ever, and yet it can also alienate or isolate us. Will the power of AI create a new era of robotic, impersonal efficiency, or will it catalyze a renaissance, redefining leadership and the world of work?

How Countries Go Broke also shows how these debt problems are related to the other forces—political within countries, geopolitical between countries, natural (droughts, floods, and pandemics), and technological (most importantly, AI)—that together are causing what Dalio calls the “Overall Big Cycle” changes in the world order. By listening this audiobook, you will improve your understanding of what’s happening now and what to do about it.

What passes for strategy in too many businesses, government agencies, and military operations is a toxic mix of wishful thinking and a jumble of incoherent policies. Richard P. Rumelt’s breakthrough concept is that leaders become effective strategists when they focus on challenges rather than goals, pinpointing the crux of their pivotal challenge—the aspect that is both surmountable and promises the greatest progress—and taking decisive, coherent action to overcome it.

Singer-songwriter. Trailblazer. Mastermind. The Beatles of her generation. From her genre-busting rise in country music as a teenager to the economic juggernaut that is the Eras Tour, Taylor Swift has blazed a path that is uniquely hers. But how exactly has she managed to scale her success—multiple times—while dominating an industry that cycles through artists and stars like fashion trends? How has she managed to make and remake herself time and again while remaining true to her artistic vision?

In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on start-ups, comparing billion-dollar start-ups with those that failed to become one - 30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected.

The ultrarich hold more of America’s wealth than they did in the heyday of the Carnegies and Rockefellers. Here, Evan Osnos’s incisive reportage yields an unforgettable portrait of the tactics and obsessions driving this new Gilded Age, in which superyachts, luxury bunkers, elite tax dodges, and a torrent of political donations bespeak staggering disparities of wealth and power. With deft storytelling and meticulous reporting, this is a book about the indulgences, incentives, and psychological distortions that define our economic age.

Hal Brands argues that a better understanding of Eurasia's strategic geography can illuminate the contours of rivalry and conflict in today's world. The Eurasian Century explains how revolutions in technology and warfare, and the rise of toxic ideologies of conquest, made Eurasia the center of twentieth-century geopolitics—with pressing implications for the struggles that will define the twenty-first.

With artificial intelligence reshaping every business and industry today, who better to reimagine the rules of entrepreneurship than the very team who create groundbreaking companies, teach applied entrepreneurship at top universities, and empower founders with their Entrepreneur Residency program and Audos, the revolutionary AI cofounder for future entrepreneurs? Me, My Customer, and AI is both a roadmap and a rallying cry for the 60 percent of people in the US who have an idea for a new business.

Many professionals aspire to work for a start-up. Yes, start-ups look magical, but they can also be chaotic and inaccessible. Many books are written for those who aspire to be founders, but a company only has one or two of those. What's needed are hundreds of employees to do the day-to-day work. This practical, step-by-step guide provides an insider's analysis of various start-up roles and responsibilities, including product development, marketing, growth strategy, and sales, to help you figure out if you want to join a start-up and what to expect if you do.

Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI’s moment finally arrived? In AI Valley, Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment.

Finding the right venture capitalist to back your start-up is a challenge. Even if you manage to get backing, you want your VC to be a partner, not some dictator who will undermine your vision and take control of your life's work. Jeffrey Bussgang is one of a very few people who have played on both sides of this high-stakes game. Now he draws on his unique perspective to offer high-level insights, colorful stories, and practical advice. He reveals how to get noticed, perfect a pitch, and negotiate a partnership that works for everyone.

Personalized is a playbook for delivering true personalization at scale. In this book, Boston Consulting Group's Mark Abraham and Harvard Business School's David C. Edelman describe Five Promises of Personalization. Personalized is a playbook for delivering true personalization at scale. With detailed examples across industries—including retail, health care, banking, technology, and travel—this book will help executives learn how to put personalization at the center of their strategy, accelerate growth, and capture their share of the $2 trillion personalization prize.

Unbundling the Enterprise provides a blueprint for organizations to remain relevant and maximize growth in the digital economy by embracing the flexibility and optionality enabled by APIs. Drawing on real-world examples of both innovative “digital pirates” and legacy “digital settlers,” authors Stephen Fishman and Matt McLarty articulate strategies to unbundle business capabilities into reusable digital assets.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures.

Humans have always been good at inventing tools that change the way we live and work—though not always good at adapting to those changes. Consider how the internet has given us instant access to gigabytes of data and yet has made us more distracted. Or how social media has enabled us to be more connected than ever, and yet it can also alienate or isolate us. Will the power of AI create a new era of robotic, impersonal efficiency, or will it catalyze a renaissance, redefining leadership and the world of work?

Hi, I’m Wes Bush, founder of the Product-Led Institute. And in Product-Led Growth, I show you how you can cut your acquisition costs and scale further than you ever thought possible...by making your product the tool that helps you acquire, convert, and retain customers. But what does it mean to be "product-led"? How do you know if a product-led growth strategy makes sense for your business? And most importantly, how do you execute it? You’ll find answers to all of these questions inside this audiobook.

Unlock the Secrets of AI Deep Learning and Neural Networks: Empower Your Future in Minutes a Day! Ready to dive into the world of artificial intelligence, but don’t know where to start? Whether you're a student, developer, or curious learner, this book takes you on a journey to master deep learning concepts, demystify neural networks, and transform your skills into real-world impact—all at your own pace.

In a world where entrepreneurship often seems to be driven by tech prodigies and venture-backed unicorns, many aspiring entrepreneurs find themselves wondering: “What if I don’t fit the stereotype of a Silicon Valley wunderkind? Is there a place for me in this landscape?” In Unstoppable Entrepreneurs, Lori Rosenkopf, Vice Dean of Entrepreneurship at The Wharton School, shatters these limiting perceptions, revealing a diverse array of entrepreneurial paths that are open to anyone with the drive to create value through innovation.

In The Second Machine Age MIT's Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives. Amid this bounty will also be wrenching change. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Every big project—whether it’s creating new technology, developing a fresh line of sneakers, or opening a neighborhood café—requires a major investment to get off the ground. Unfortunately, most big projects flop with customers. Too many teams waste time, money, and opportunity because they follow the wrong strategy and lose sight of what really matters: Do people want what you’re making? Does your solution click with customers?