Summary of "AI के दौर में कौन-सी Skills रहेंगी Demand में? Ft. Vaibhav Sisinty | RM Podcast"
Summary of "AI के दौर में कौन-सी Skills रहेंगी Demand में? Ft. Vaibhav Sisinty | RM Podcast"
This podcast explores the impact of AI on jobs, career choices, and industries, offering insights into which skills will remain in demand and how individuals can adapt to the rapidly changing job market.
Key Financial Strategies, Market Analyses, and Business Trends
- AI’s Rapid Impact on Jobs
- AI is replacing many traditional jobs, especially in coding, testing, BPO, and middle management.
- The AI revolution is much faster than previous industrial revolutions, with major changes expected within 3-4 years and a dystopian transition phase over the next decade.
- Leaders of large companies often downplay job losses, but layoffs in firms like TCS (12,000 employees laid off) reveal a harsh reality.
- Industries Most Affected by AI
- Software Engineering: AI can now code better and faster than humans; many companies are reducing engineer hires, relying on AI coding agents (e.g., Codex, Jules).
- BPO and Call Centers: AI voice agents can make hundreds of calls per minute, drastically reducing the need for human agents.
- Consulting: AI will automate many consulting tasks, reducing demand for human consultants.
- Content Creation & Graphic Design: AI tools can generate content and designs based on trends, threatening jobs that lack original thinking.
- Medical Field: Jobs like doctors and nurses remain relatively safe due to the need for physical human touch and empathy, though AI assists in diagnostics and increases productivity.
- Managerial Roles: Middle management is shrinking as AI handles task allocation, reporting, and review. Experienced managers who combine domain knowledge with AI skills can create AI transformation agencies.
- Blue-Collar Jobs: Skilled manual labor such as plumbers, welders, carpenters remain in demand, especially in countries like India where labor costs are low and robotics adoption is slower.
- Retail and Sales: Physical sales jobs involving human interaction remain relatively safe; AI acts as an enabler for objection handling and customer engagement.
- Government Jobs: Considered relatively secure due to political and structural reasons.
- Business Trends
- Rise of AI Transformation Agencies and AI Journalism: Individuals who understand AI tools and can solve problems for businesses will be in demand.
- Growth of Software as a Service (SaaS) solutions integrating AI for SMEs and MSMEs, making AI affordable and accessible.
- Emergence of Virtual Influencers and AI-generated content, leading content creators to innovate or create AI-driven versions of themselves.
- Robotics and automation will increase in manufacturing and warehouses, with companies like Tesla transitioning into robotics firms.
- Stock Market Insight
- NVIDIA’s stock surge is linked to the growth in demand for GPUs, essential for AI computing power and data centers.
- Future of Work
- Organizations will be leaner with AI agents performing most tasks, supported by a few human specialists and managers.
- The concept of Universal Basic Income (UBI) is discussed as a potential solution for mass unemployment caused by AI.
- The idea of a single aligned AI leader governing the world is proposed as a futuristic scenario for unbiased governance.
Step-by-Step Methodology to Adapt and Thrive in AI Era
- Become an AI Generalist / AI Journalist
- Learn to use AI tools to solve problems across industries.
- Develop original thinking and problem-solving skills, not just templated or routine work.
- Five-Level Roadmap to Master AI Skills
- Level 0: Understand and find the right AI tools for your work.
- Level 1: Learn prompt engineering and how to communicate effectively with AI for best results.
- Level 2: Automate workflows by connecting multiple AI apps and tools (no coding required).
- Level 3: Work with multimodal AI (images, video, audio) and learn to train AI models yourself.
- Level 4: Build and manage AI agents that automate tasks and workflows.
- Level 5: Create full-fledged AI-powered products and solutions from scratch.
- Develop Domain Expertise + AI Skills
- Combine industry knowledge (e.g., finance, healthcare, supply chain) with AI proficiency to create niche consulting or transformation services.
- Build solutions that address specific business problems and scale them across multiple companies.
- Entrepreneurship and Solo Ventures
- Shift from job dependency to building your own business or becoming a solo entrepreneur leveraging AI.
- Focus on creating value by solving real problems with AI-driven solutions.
- Continuous Learning and Adaptation
- Take personal responsibility for learning AI as educational institutions
Category
Business and Finance
