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This book reveals the uncomfortable truth: America's AI leadership is an illusion. We have the best chatbots, but China is building 50 nuclear reactors to power AI data centers. We have startups, but China produces twice as many engineers. We celebrate "asset-light" models, but China manufactures autonomous robots and military drones at scale we cannot match. The AI race will be won by whoever controls energy, manufacturing, and talent—not algorithms.

Stop feeling left behind by the digital age and start using the most powerful tool of our time—with confidence, safety, and a touch of Texas humor. Does the phrase "Artificial Intelligence" make you want to go back to rotary phones and paper maps? You aren’t alone. For many in the 60+ generation, the "AI Revolution" feels more like a confusing invasion. But what if AI wasn’t a monster under the bed? What if it was a "Digital Shepherd" ready to help you preserve your legacy, protect your family, and deepen your faith?

In the 1940s, mathematicians set out to design computers that could act as ideal rational agents in the face of uncertainty. The Irrational Decision tells the story of how they settled on a peculiar mathematical definition of rationality in which every decision is a statistical question of risk. Benjamin Recht traces how this quantitative standard came to define our understanding of rationality, looking at the history of optimization, game theory, statistical testing, and machine learning.

EVOLVE will remove the mystery of AI and bring global awareness to Arria. It will document the vision of NLG everywhere and the impact this technology will have on business and society. It will remove the fear of “robots coming” and communicate Arria’s purpose of ensuring “humanity will remain at the heart of artificial intelligence through natural language generation,” enabling people to do more, be more.

Your peers are moving fast. AI is reshaping decisions, operations and what boards expect. And somewhere in the middle of it all, a quieter problem is growing. The decision-making defaults encoded by your past success are now the invisible ceiling limiting your next level of impact. Not because you lack skill. Because the operating system behind your leadership was built for a world that no longer exists.

What if the struggle of launching an e-commerce business—finding products, creating professional content, managing operations—is completely unnecessary in the AI era? While you're agonizing over product photography, spending days writing descriptions, wondering how to handle customer service without hiring expensive staff, and watching competitors with bigger budgets dominate your market, early adopters have discovered how to use AI to build e-commerce businesses that generate six figures annually with minimal teams and sustainable profit margins.

「アメリカ政府機関主催の精度評価テストで世界No.1評価を6回獲得」「マスクで顔の3分の2が隠れていても、ほぼ100%認証が可能」「カバンも財布も持たずに"手ぶら"でどこにでも行ける社会が実現」

In a world of polycrisis—where climate collapse, AI acceleration, societal fragmentation, and economic instability collide—business leaders can no longer maintain the status quo. From now until 2030, CEOs will be expected to lead the reinvention in this volatile new reality. Caroline Stokes, author of Elephants Before Unicorns and founder of Workplace EQ, delivers a bold new guide for CEOs, founders, and aspiring changemakers who refuse to wait for the future to overtake them.

We are living through a profound transformation — a Cognitive Revolution — in which Artificial Intelligence is reshaping how we work, learn, and make sense of the world. This revolution reaches far beyond technology; it touches the very essence of what it means to think, create, and connect as humans. The question is not just where AI is taking us, but how we choose to journey with it.

You've seen what AI can do. You've watched the demos, tested the tools, bookmarked the threads. But somewhere between inspiration and execution, the path blurred. Too many options. Too many gurus. Too many "ultimate guides" that left you with more questions than answers. It’s true—the window is open, but it won't stay open forever. This 2-in-1 collection gives you everything you need to go from stuck to profitable, whether you want to launch a lean AI service from scratch or scale a full agency that replaces your salary.

We are living through one of the most important technological transitions in human history. Not because machines are becoming faster. Not because software is becoming smarter. But because intelligence itself is becoming scalable. For decades, computing amplified human labor. Today, artificial intelligence is amplifying human thinking. The transition from GPT • 4 to GPT • 6 and beyond represents something profound. AI is no longer just responding. It is reasoning. It is assisting decision-making. It is helping humans create, analyze, design, and innovate at speeds never before possible.

Artificial Intelligence is reshaping what is possible across every sector—and public service is no exception. Reimagining Government is a bold, practical playbook for harnessing AI to deliver smarter, faster, and more effective outcomes.

AI Prompts for Everyday People is a practical, approachable guide designed to help listeners get better results from artificial intelligence in everyday situations. The book focuses on clarity, usability, and real-world application rather than technical explanations or coding. The content is structured around clear explanations and ready-to-use prompts that cover daily life, work, productivity, decision-making, creativity, money, and thinking more clearly. The tone throughout the book is calm, grounded, and confidence-building—never hype-driven or overly technical.

A healthcare AI expert examines how artificial intelligence can either undermine or enhance the doctor-patient relationship, offering frameworks to keep medicine human-centered. Subjects to Sovereigns explores what happens when the most powerful AI systems in medicine make decisions about patients who are never really heard? For most of modern medicine, patients have been treated as data points inside someone else’s system. Artificial intelligence risks locking that pattern in forever.

Organizations have invested $30–40 billion in AI. According to MIT (2025), 95% produced no measurable return. Only 5% made it into daily workflows. If you're reading this, you're trying not to become that statistic—or you already are. The problem isn't bad technology. Most AI failures don't begin at scale. They begin during pilots, when early success builds confidence without revealing risks that surface once AI enters real workflows and decisions under pressure.

AI can write your emails, summarize your meetings, and generate your strategy decks. But it cannot tell you which decisions actually matter. Everyone is racing to master AI tools. Almost no one is developing the cognitive capabilities that AI makes more valuable, not less. That gap is about to separate those who lead and succeed from those who get left behind.

Hallucinated citations that survived review. Confidentiality breaches that didn't surface until the bar complaint. Malpractice exposure building invisibly, one unexamined AI output at a time. These aren't hypothetical. They're already happening to lawyers who adopted AI without a framework. And the lawyers who made those mistakes weren't careless—they were experienced, diligent, and trying to keep up.

In a world increasingly shaped by intelligent machines, Human-AI Collaboration explores how humans and artificial intelligence can work together—not in competition, but in partnership. This insightful guide demystifies the evolving relationship between human creativity, intuition, and empathy with machine precision, scale, and speed.

Quantum computing isn’t science fiction anymore—it’s becoming a real competitive edge. As breakthroughs accelerate, companies need developers who can bridge today’s systems with tomorrow’s quantum-powered capabilities. That’s where Quantum-Ready Development comes in. This practical and forward-looking guide equips modern software engineers, architects, and tech leaders with the tools, mindset, and frameworks to prepare for quantum integration without waiting for the future to arrive.

Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve.