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Ranjith Maniyedath, Co-founder and Managing Partner of Perfware, shares his "unpopular opinion" that AI will significantly alter the job market, potentially making some white-collar jobs less necessary unless individuals dramatically adapt. He acknowledges historical fears surrounding technological advancements like computers, which ultimately created new jobs, but suggests AI's rapid strides in the services industry will lead to more profound shifts. Ranjith believes that while automation may take over tedious tasks, humans will need to become more productive and rethink their value to companies, possibly leading to a greater demand for generalists over specialists. The conversation extends to current pressures faced by retailers, including macroeconomic conditions and tariffs, driving a strong focus on cost pressures and productivity. Ranjith highlights the industry's journey from monolithic software to agile and composable architectures, with SaaS solutions now commonplace. The next frontier involves leveraging AI, not just for internal tasks, but for "agentic AI" in commerce, anticipating that consumers will be increasingly "groomed" by tech giants to explore agentic shopping. Show Highlights: * AI's potential to dramatically change job roles, requiring individuals to adapt and potentially fostering more generalist skill sets. * The current focus on cost efficiency and productivity in retail, with AI as a key enabler for the next phase of digital transformation. * Strategic approaches to AI adoption, starting with data readiness and identifying high-impact use cases based on business challenges. * The exciting future of "agentic AI" and the Multi-Context Protocol (MCP), enabling seamless communication between different software agents. * The critical importance of clean, consistent data as the foundation for any successful AI initiative. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review," then a quick line with your favorite part of the episode. It only takes a second, and it helps spread the word about the podcast. To learn more about KIBO visit our site https://kibocommerce.com/ [https://kibocommerce.com/] and follow us on LinkedIN: https://www.linkedin.com/company/kibocommerce [https://www.linkedin.com/company/kibocommerce]
12 episodios
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