Abstract: The Pitfalls of AI Integration in Education: Skill Obsolescence, Misuse, and Bias book is a response to the research gaps and unanswered questions. It is a deliberate shift away from techno-utopianism toward a grounded, critical engagement with AI's role in shaping educational futures. While much of the prevailing discourse celebrates possibility, we have chosen to examine peril: the risk of skill atrophy when generative tools supplant creative labor, the encroachment of surveillance technologies under the guise of pedagogical support, and the entrenchment of biases within algorithmic systems that claim neutrality while operationalizing historical inequities. Our contributors span the domains of education, computer science, ethics, policy, and cognitive science, offering a multidisciplinary interrogation of the unintended, often unanticipated, consequences of AI integration in classrooms, curricula, and institutional systems. We are not alarmists but realists. We do not advocate abandoning AI, nor do we harbor nostalgia for a pre-digital past. Rather, we argue for a more discerning adoption—one anchored in pedagogical intent, procedural transparency, and an unwavering commitment to human dignity. In many ways, this book could be read as a companion to the emerging genre of speculative nonfiction—not because it forecasts distant futures, but because it interrogates the ones currently under construction, often without democratic deliberation or ethical guardrails. If history and speculative fiction alike have taught us anything, it is that technological progress, when left unchecked, tends to obscure the deeper values at stake. We invite you, therefore, to read these chapters not merely as a critique but as a provocation—to think more deeply, act more responsibly, and imagine more boldly the kinds of educational futures we truly want to build.