Raw LLM Responses

@Rahul, Thank you for bringing in relevant contents. Thanks for bringing in positivity in each of your podcasts. My few cents on this topic from my 20+ yrs of IT experience - It is not only about basic pattern matching and repeatable work that AI automates. Those are already taken over by AI few years back. These are days of Agentic AI and Generative AI where more jobs categories will also be taken over. Classification and pattern matching etc are things of the past. It is more about detecting and identifying objects, trigger actions as in case of compuvision, eg use cases are driverless cars in automobile, enablers in deep mining and in energy industry where these systems can avoid risk to human life by going into risky areas without a human need, detecting and repelling wild animals from farms is a case in Agriculture, In marketing field identifying a customer and prompting her/ him relevant campaigns and advertisement to pursue her/him to buy items The essence of everything is the dataset. Your AI will be effective as much as the quality of your dataset and the relevance of your dataset to the outcome that you want. Hence data is gold and people who can analyze data and make it ready for building AI systems are crucial. For this step you would definitely need true domain experts who understand respective domain very well. People who have built true deep domain expertise while working on projects will succeed through this phase and they should also keep up to the latest and greatest in AI . Gone are the days where some one needs an expert to write advertisements for a product or create excellent presentation on any topic, create image of any text description these all are covered by generative AI. Relevant new roles will evolve like risk management in AI will be of next level especially in sensitive field of work like in healthcare as any minor mistake by system can cost you a life. Similarly cyber security will be another crucial area where it has to evolve drastically to capture and mitigate AI based threats and improper targeted prompt engineering to misguide the system. There will be new rules/standards and new guidelines that will evolve for every company who uses AI systems to adhere to and use AI responsibly.