AI is becoming more autonomous than most people realize and governments are struggling to keep up. 🎙️

AI agents are no longer just answering questions. They’re starting to browse the internet, make decisions, take actions autonomously, and influence industries faster than governments can regulate them.

In this episode, I sit down with Sakshi Naik, an AI governance expert who has advised US government officials on AI policy, Responsible AI, and the future risks of autonomous AI systems.

What you'll learn:

• What Agentic AI actually means
• How autonomous AI agents differ from traditional AI
• The risks of AI systems acting without human oversight
• Why regulating AI is becoming increasingly difficult
• The influence of Big Tech on AI policy and regulation
• Responsible AI vs performative AI ethics
• Open source vs closed AI debates
• How AI could reshape jobs and the future workforce
• The biggest misconceptions people have about AI

Sakshi also shares her journey from India to advising policymakers in the US and gives an inside look into into how governments, researchers, and companies are navigating the future of AI governance.

Whether you're into AI, tech, policy, or just trying to understand where the future is heading, this episode breaks down one of the most important conversations happening right now.

🎙️ Hosted by Amlan Mohanty — industry expert decoding AI, tech power shifts, and the future of work before they hit the mainstream.

Follow me:

• 📺 ⁠⁠YouTube ⁠⁠
• 🔗 ⁠⁠LinkedIn⁠⁠
• 📸 ⁠⁠Instagram

Connect with Sakshi Naik:

• 🔗 LinkedIn
• 📸Instagram
• 📺Youtube

🎧 Listen now to understand the power, risks, and future of Agentic AI.

Chapters

00:00 Introduction

01:45 Sakshi’s Journey into AI Policy

04:16 Understanding Agentic AI

06:31 Traditional AI vs Agentic AI

07:30 The AI Regulation Dilemma

08:48 Risks of Autonomous AI

16:48 AI Bias in Action

21:11 Do Lawmakers Understand AI

24:23 Power Dynamics in AI Policy

30:10 Responsible AI Frameworks

33:47 Open Source vs Closed AI

36:40 AI’s Impact on Jobs

39:27 Biggest Misconceptions About AI

41:30 Final Thoughts

The job market has changed dramatically and your job search strategy can't afford to be stuck in the past. 🎙️

In this episode, I sit down with Jeremy Schifeling, the former LinkedIn insider who built their 39M student platform, wrote the #1 ChatGPT career book, and has trained over 100,000 students at Harvard, Stanford, and 300+ elite universities worldwide.

What you'll learn:

• Job search strategies that actually work right now
• How to get referrals with zero connections (20X advantage)
• LinkedIn profile optimization secrets from an insider
• Using AI for job applications without sounding generic
• The truth about ATS systems and resume screening
• Why networking and relationships beat perfect resumes
• How to reach hiring managers directly

Jeremy has hired for Google, LinkedIn, and Khan Academy and coached 100,000+ students through their job searches. He's seen both sides and knows exactly what works to get hired.

Whether you're about to graduate, stuck in your job search, or looking to break into a new industry, this episode is packed with actionable insights and real strategies that work.

🎙️ Hosted by Amlan Mohanty — Industry expert breaking down careers, AI, and what it takes to win in today's job market.

Follow me:

• 📺 ⁠YouTube ⁠
• 🔗 ⁠LinkedIn⁠
• 📸 ⁠Instagram

Connect with Jeremy Schifeling:

• 🔗 LinkedIn: linkedin.com/in/schifeling
• 🌐 Website: thejobinsiders.com
• 📚 Books: Career Coach GPT & Linked: Conquer LinkedIn. Get Your Dream Job. Own Your Future.

🎧 Listen now to transform your job search!

Chapters

00:00 Navigating the Tough Job Market

03:31 Building a Network from Scratch

05:11 Optimizing Your LinkedIn Profile

06:38 Leveraging AI in Job Searches

08:30 The Death of Cover Letters

09:51 The Role of ATS in Hiring

11:19 Standing Out in a Competitive Landscape

14:07 Using AI Creatively in Applications

15:54 Exploring Career Opportunities with AI

AI and data analytics are transforming business, and your data career can’t afford to be left behind. 🎙️ In this episode of Data Career School, I sit down with Ketan Mudda, Director of Data Science & AI Solutions at Walmart, to explore how AI is reshaping retail, analytics, and decision-making—and what it means for students, job seekers, and early-career professionals in 2026.

We dive into:

• How AI is driving innovation and smarter decisions in retail and business

• Essential skills data professionals need to thrive in an AI-first world

• How AI tools like ChatGPT are changing the way analysts work

• What employers look for beyond technical expertise

• Strategies to future-proof your data career

Ketan also shares his journey from Credit Risk Analyst at HSBC to leading AI-driven initiatives at one of the world’s largest retailers.

Whether you’re starting your data career, exploring AI’s impact on business, or curious about analytics in action, this episode is packed with actionable insights, inspiration, and career guidance.

🎙️ Hosted by Amlan Mohanty — creator of Data Career School, where we explore AI, data analytics, and the future of work.

Follow me:

• 📺 YouTube

• 🔗 LinkedIn

• 📸 Instagram

🎧Listen now to level up your data career!

Chapters

• 00:00 The Journey of Ketan Mudda
• 05:18 AI's Transformative Impact on Industries
• 12:49 Responsible AI Practices
• 14:28 The Role of Education in Data Science
• 23:18 AI and the Future of Jobs
• 28:03 Embracing AI Tools for Success
• 29:44 The Importance of Networking
• 31:40 Curiosity and Continuous Learning
• 32:50 Storytelling in Data Science Leadership
• 36:22 Focus on AI Ethics and Change Management
• 41:03 Learning How to Learn
• 44:57 Identifying Problems Over Tools

Think you need a fancy degree to start a career in data? Think again. In this episode of Data Career School, Amlan Mohanty breaks down exactly how you can launch a successful data career and land your first job in data analytics, data science, or business intelligence without a traditional degree.

Discover how to build in-demand skills, create a portfolio that gets noticed, and land your first data job using practical, actionable strategies. Whether you’re self-taught, switching careers, or just curious about the data field, this episode gives you the perfect roadmap to break into a data career.

In this episode of Data Career School, I share actionable strategies to help you grow faster, get promotions, and step into leadership roles in your Data and Analytics career. Learn how to build the right skills, excel in your projects, and stand out in your company. Whether you’re a fresher or an early-career professional, these tips will help you climb the corporate ladder, boost your career growth, and become a top-performing data professional.