Agentic AI; When AI Starts Doing Work Without You #ArtificialIntelligence #AgenticAI #FutureOfWork

What happens when AI stops waiting for instructions… and starts working on its own?

In this episode of Better Than Yesterday, Sunil Gera explores the rise of Agentic AI — the next evolution of artificial intelligence where AI systems can plan, decide, execute tasks, and solve problems with minimal human involvement.

This is not just ChatGPT answering questions anymore.

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Podcast: Better Than yesterday by Sunil Gera
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#ArtificialIntelligence #AgenticAI #FutureOfWork #AIagents #Automation #AITools #TechnologyTrends #AIRevolution #BusinessAutomation #FutureTech #Productivity #GenerativeAI #CareerGrowth #TechPodcast #betterthanyesterday 

Hi, I’m Sunil Mohan Gera.
I’m passionate about exploring ideas that help people live better — whether it’s through financial freedom, personal growth, health, or lifestyle choices. On Better Than Yesterday, I share insights, stories, and practical tips to inspire you to grow every day and create the life you want.

Transcript

SPEAKER_00 0:00

Hello, I'm back on my channel Sunil Ghera here. Today's title is Agentic AI. When AI starts doing work without you. For decades, computers waited for human instructions. You clicked, you typed, you commanded. Machines obeyed. But something historic is now beginning to happen. Artificial intelligence is evolving from passive tool into an active digital agent. An AI that does not simply answer questions. An AI that plans, decides, executes, monitors, and improves task on its own. This is called agentic AI. It may become one of the biggest technological revolutions of the 21st century. Imagine this. You tell an AI, find the best flights, compare hotel prices, prepare my travel schedule, book meetings, and summarize emails and send reminders. And the AI does everything autonomously, no constant supervision, no step-by-step instructions. The AI becomes a worker, a digital employee. Today's podcast explores what agentic AI really means, how it differs from traditional AI, global and Indian examples, industries that may change forever, dangers and opportunities, and how this could reshape business and human identity itself. Segment one. A traditional chatbot may answer how do I market my podcast? But then AI agent may create the marketing plan, generate social media posts, schedule content, analyze audience response, optimize strategy, and report results automatically. That is a massive shift. AI is moving from conversation to execution. Segment two, why agentic AI is emerging now? Several technologies are converging at the same time. First, large language models became smarter. AI system can now understand instructions, reason through problems, summarize information, write code, and interact naturally. Companies like OpenAI, Anthropic, Google DeepMind, and MetaAI have accelerated this race. Second, AI can now use tools. Modern AI systems are increasingly able to browse websites, analyze spreadsheets, use APIs, manage calendars, and interact with software. This transforms AI from knowledge systems into action systems. Third, automation infrastructure already exists. Cloud computing, SaaS platforms, APIs, and digital workflows created the foundation. Now AI agents can plug into existing systems. For example, an AI sales agent may connect with CRM software, email tools, analytics dashboards, and customer databases. This creates semi-autonomous business operations. Segment three, real-world examples of agenting AI. Example one, AI coding agents. Software development is changing rapidly. AI tools can now generate code, debug errors, test applications, and even suggest architectural improvements. Developers increasingly work alongside AI agents. This may dramatically increase productivity. A small engineering team could potentially build products that earlier required hundreds of programmers. Example two, AI customer service. Many companies are developing AI agents that answer customers, resolve complaints, process refunds, and escalate only complex issues to humans. This reduces operational costs significantly. Industrial industries affected include banking, telecom, airlines, healthcare, and e-commerce. Example three, AI research assistants. Researchers and analysts increasingly use AI agents to summarize reports, track trends, analyze markets, monitor competence, and generate presentations. Knowledge work itself is being automated. Example four: autonomous finance systems. Financial institutions are experimenting with the AI systems that detect fraud, optimize portfolios, monitor transactions, and generate risk assessments. Human oversight still exists, but automation is expanding rapidly. Segment four, Indian opportunities in agentic AI. India could become one of the biggest beneficiaries of agenting AI. Why? Because India already has strengths in IT services, software talent, digital infrastructure, and entrepreneurship. IT services transformation. Companies like Infosys, Data Consulting Services, Wipro, and HCL Tech may increasingly integrate AI agents into operations. Routine coding and support work may become automated, but new opportunities will emerge in AI orchestration, workflow design, AI governance, cybersecurity, and human AI collaboration. Small entrepreneurs gain leverage. This is extremely important. One person could operate like a small company. This may create a new generation of highly leveraged entrepreneurs. Education will change. Students may increasingly learn with AI tutors. AI agents could personalize lessons, assignments, revision plans, and skill development. Education may become far more individualized. Segment five, the risk and fears of agenting AI. Every major technological revolution creates anxiety. Agenting AI is no different. Job displacement. Many repetitive wide-collared tasks may disappear. Roles vulnerable include administrative support, data entry, basic coding, customer service, scheduling, and routine reporting. This could reshape employment globally. Second, overdependence on AI. What happens when humans stop thinking deeply? If AI performs planning, analysis, writing, and decision making, human cognitive skills may weaken. This is a serious philosophical concern. Third, AI errors at scale. An AI agent operating autonomously can also make mistakes autonomously. A flawed AI system could spread misinformation, make financial errors, mismanage workflows, or create security vulnerabilities. The more autonomy AI receives, the more governance becomes necessary. Next, concentration of power. Large AI systems require computing power, data, infrastructure, and capital. This may strengthen giant technology companies even further. The fear is that economic power becomes concentrated among a few AI giants. Segment six, human work in the age of AI agents. So what remains uniquely human? This is the defining question of our era. As AI handles more execution, humans may shift towards judgment, creativity, emotional intelligence, ethics, leadership, storytelling, and strategic thinking. The future professional may not do everything manually. Instead, they may supervise the network of AI agents. The role of humans may evolve from work to orchestrator, from executor to director. Here we end. For centuries, machines amplified physical labor. New machines are beginning to amplify cognitive labor. That changes everything. The companies of tomorrow may operate with tiny humans, teams, and large AI workforce. Entire industries may become faster, leaner, and more automated. But alongside efficiency, humanity may also protect wisdom, ethics, creativity, and meaning. Because if AI starts doing work without us, then the next question becomes what should humans focus on? If you enjoyed this podcast, if you found it relevant and useful, please like, subscribe, and share. I request you to press the subscribe button so that we remain motivated and come up with more such webinars. And in the comment section, please tell me, would you trust an AI agent to manage important parts of your life or business? Thank you for listening.