In this interview during theCUBE's coverage of AWS re:Invent, Sriram Devanathan, director of transformation and modernization at AWS, joins theCUBE’s John Furrier to discuss how agentic AI is fundamentally reshaping the cloud migration landscape. Devanathan explains that the traditional, multi-year approach of "lift and shift" followed by modernization is obsolete; instead, enterprises are now leveraging intelligent agents to assess, decompose and refactor legacy systems simultaneously. He highlights how AWS Transform uses these advanced AI capabilities to handle complex dependency analyses and validation, allowing customers to modernize mission-critical workloads – from Mainframes to Windows and VMware environments – in a fraction of the time previously required. The conversation underscores the quantifiable impact of this AI-driven acceleration, with Devanathan revealing that AWS has analyzed nearly one billion lines of COBOL and migrated 40 million lines of .NET code from Windows to Linux. He notes that these automated workflows are not only 80% automated and four times faster than manual methods but also deliver significant efficiencies, such as moving network configurations 80 times faster and reducing licensing costs by 40%. Furrier and Devanathan conclude by exploring how multi-agent collaboration is unlocking new revenue potential, enabling businesses to turn "modern legacy" maintenance into a driver for rapid innovation.