AI is transforming manufacturing by enabling data-driven insights and automation, but adoption is often slowed by cost, complexity, and data challenges. Successful implementation starts with a strong data foundation, empowering employees with accessible AI tools, and building AI fluency across the workforce. Manufacturers should begin with high-impact, low-effort use cases, then scale through low-code solutions, ultimately moving toward advanced applications like autonomous production adjustments, demand forecasting, visual inspection, and intelligent pricing. Gradual adoption, governance, and leveraging existing strengths help AI become a sustainable competitive advantage.