The manufacturing sector is witnessing transformative changes in technology, and like every other industry, it is not exempt from the vast impacts of Artificial Intelligence (AI). Among advances of AI, Generative AI (GenAI) has proven to be the most disruptive with its ability to generate new content, designs, and solutions. These capabilities possess great potential to transform conventional manufacturing processes and accelerate its transition to an “AI-ready” paradigm. This paper analyzes the multifaceted impact of Generative AI on the essential pillars needed for AI-ready manufacturing. It identifies the various applications and trends of GenAI, which can help in increasing productivity, speeding up prototyping, optimizing complex production processes and predictive maintenance. GenAI’s ability to analyze large datasets and generate output will significantly impact the manufacturing lifecycle. The paper also highlights challenges and considerations while adopting GenAI, including the need for high-quality data, heavy computing requirements of AI systems, their deployment in existing legacy systems, and important ethical issues like bias and accountability. This assessment provides manufacturers, researchers, and policymakers with valuable insights to use Generative AI strategically, ultimately fostering a culture of continuous innovation and paving the way to a truly AI-ready manufacturing ecosystem.