The rise of artificial intelligence (AI) is transforming the workplace and society. As AI systems take on more complex cognitive tasks, skills like creativity, critical thinking, and adaptability will become increasingly important for human workers. Education systems need to evolve to prepare students for an AI-driven world. This paper argues that curriculum and teaching methods should shift to build competencies like problem-solving, collaboration, computational thinking, and lifelong learning. Rote memorization needs to be deemphasized in favor of active, interdisciplinary learning. Students need broad exposure to ethics, philosophy, and the social sciences to critically analyze how AI is reshaping society. Project-based and hands-on learning builds the resilience and complex problem-solving abilities needed to complement AI systems. The curriculum should incorporate discussions of AI's potential impacts on inequality, automation, and the future of work. Teachers need to transition from passive lecturing to guiding active learning experiences. Growth mindsets must be fostered so students are motivated to continuously reskill. Collaborative and team-based learning mirror the interdisciplinary cooperation needed in AI development. Technology should be integrated thoughtfully based on learning objectives, not for technology's sake alone. Ongoing feedback via formative assessment replaces high-stakes exams. These proposals face barriers like standardized testing mandates, teacher training gaps, and resistance to pedagogical change. But education leaders must rise to the challenge. The interdisciplinary competencies needed in an AI era — creativity, communication, computational thinking, and lifelong learning — necessitate rethinking both what is taught and how. Curriculum and teaching strategies rooted in the 20th-century industrial model will not adequately cultivate the flexible, well-rounded skill sets humans need to complement AI systems and continue innovating. Policymakers and education leaders must collaborate to build the learning environments students need to think critically, work creatively, and thrive in an AI-driven world.