A Guide to Entrepreneurship and Profits Powered by AI

Introduction to The AI-Powered Startup Profitability Guide

In 2025, as the frenzy of the "hundred-model race" cools and practical implementation becomes the norm, AI startups have long since moved beyond the anything-goes era of "just add GPT and succeed." They have entered a more sophisticated phase of competition focused on integrating AI into workflows, solving real problems, and building complete business models.

This book addresses the full range of needs faced by AI entrepreneurs, from starting with nothing to achieving profitability. Its core approach is to dispel misconceptions, identify high-value markets, avoid fatal pitfalls, provide practical tools, and build a complete business model. It breaks down the complex logic of AI entrepreneurship into six modules and 60 hands-on chapters. Whether you want to enter core B2B markets such as on-device agents, AI for enterprise decision-making, or AI CRM, or try a lean startup as an individual or small team; whether you are facing early challenges such as difficulty obtaining data, choosing the wrong model, or validating use cases, or need to design a payment model, connect with investors, or plan how to scale, you will find relevant solutions in this book.

The book draws on real AI startup cases from 2024 and 2025, including both success stories and postmortems, and incorporates reusable practical templates such as a "Market Assessment Form," a "Model Selection Radar Chart," and an "AI Collaboration Tools Checklist." By contrasting "wrong approaches" with "the right path," it helps entrepreneurs avoid fatal pitfalls such as "data illusions," "use cases that go nowhere," and "model mismatch." It also anticipates new trends for 2026, including advances in on-device AI and the wider adoption of privacy-preserving computing, so entrepreneurs can make solid progress today while preparing for tomorrow's opportunities.