Zhitao(Steven) Gao’s Post

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I help manufactures to become the best of their kind | Digital Transformation at Tesla

#ChatGPT is now 2 years old. When comparing with Manufacturing. It's AI 1.0 to AI 4.0. I see so many things changed in the past 2 years and more will come in next 2. What happened in last 2 years - ChatGPT launch: The meaning of AI is different. It’s how a product in this area changed how people see this area.How people process language are totally different. - More multi-modal models: AI is able to process video, audio, paint, generate images and video, #suno is able to create songs. - GPT-4 release: AI was improved so much in a short time. Everybody talks about scaling law all the time. The developer tools like #Cursor #Windsurf became something we use everyday. What happened in last 100 years in manufacturing - 1920s: Handcraft Era. - 1960s: Mass Production - Assembly lines and standardization - 1990s: Lean Manufacturing - Just-in-time and quality focus - 2020s: Smart Manufacturing - AI-driven optimization and predictive capabilities One of the biggest reason for not able to applying AI into manufacturing is the diversity of industry use cases and knowledge. But with model GenAI tech, it will be different. No technology is able to learn at that large scale and speed. So what will happen in next 2 years? I see huge opportunities for every part of a manufacturing company from #design #supplychain #factory #sales #service Design: Generative AI revolutionizing product development Supply Chain: Intelligent forecasting and risk mitigation Factory Operations: Autonomous decision-making systems Customer Experience: Personalized service at scale Will it change manufacturing like #ExpertSystem wanted to?

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Sandeep Sreekumar

Co founder, COO IndustryApps, Ex Global Head Digital Operations Henkel, Industrial DataSpace expert, Industry 4.0, Smart Factory Technology expert

2w

AI is already transforming manufacturing. As human expertise erodes and generational shifts make long-term mastery impractical, AI agents are stepping in to bridge the gap. They digitize knowledge, enabling scalability, while humans focus on decision-making and execution. It’s not about losing control—it’s the only way to keep manufacturing moving forward.

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