Career Roadmap in an AI-First World

Overview: AI is changing what work looks like, what skills companies value, and how quickly careers can move. For an early-career technology professional, the question is no longer simply “What job should I get next?” It is: “What should I become good at that will continue to matter as AI gets better?” If you are starting out as a software engineer, analyst, IT professional, or in another technology role, you may already be thinking about what comes next. Should you go deeper into technology? Move into Product Management, Business or Data Analytics, Consulting, Strategy, or Leadership? And where does AI fit into all of this? This session helps you make sense of that career crossroads. We will explore how AI is reshaping entry-level and early-career work, which capabilities are becoming more valuable, and how to build a career path that combines technology fluency, business understanding, and strategic thinking. The goal isn't to predict which job titles will survive. It is to help you understand how to build a career that stays relevant as the jobs themselves change. Three Key Takeaways: Understand where your career is heading: See how AI is changing technology careers and the kinds of roles emerging at the intersection of technology, business, and strategy. Understand the possible paths from a technical starting point into Product, Analytics, Consulting, Technology Management, GTM, and leadership. Know what AI can do and what you need to do: Understand the difference between skills AI can increasingly automate and capabilities that become more valuable when AI is everywhere. Explore why business understanding, problem-solving, decision-making, communication, and cross-functional influence matter alongside technical fluency. Get clarity on what you need to do next: Understand what skills and experiences will matter as you move from an early-career technology role toward more strategic, product, business, or leadership opportunities, and where you should start building your edge in an AI-first world. You Will Walk Out With: Your Own AI-First Career Roadmap A simple framework to help you answer: Where am I today → Where do I want to go → What is changing because of AI → What capabilities do I need → What should I do next? Who Should Attend: This session is built for you if you are: An early-career technology professional wondering, “What should I do next?” A software engineer or IT professional who wants to move beyond purely technical roles. Someone considering a transition into Product Management, Business Analysis, Data, Consulting, or Technology Management. A young professional who wants to understand how AI will affect their career before making their next move. Someone who wants to build business and strategic capabilities alongside their technology background. A recent engineering graduate trying to understand which career paths will remain valuable in an AI-first world. Someone who feels that technical skills alone may not be enough to accelerate their career. Someone exploring an MBA or management education but unsure whether you need one and what kind of program would actually add value. You don't need to be an AI expert. You don't need to know how to code AI. You simply need to be curious about where your career is going next. What You Will Learn: How AI Is Changing the Career Ladder: Understand what is happening to traditional entry-level work and why the path from individual contributor → specialist → manager is changing. The New Technology Career Map: Explore the different paths available to someone starting with a technology background: Technology → Product Technology → Project Technology → Design Technology → Data & Business Analysis Technology → Entrepreneurship And understand what each path actually demands. The AI-First Skill Stack: Move beyond the idea that “learning AI” means learning another tool. Explore the combination of: Technology Fluency + AI Fluency + Business Acumen + Problem Solving + Communication + Leadership This directly addresses the gap many early-career professionals feel when they realise technical capability alone doesn't necessarily translate into career progression. What Becomes More Valuable When AI Becomes Better: Understand why capabilities such as: Problem framing Business understanding Strategic thinking Decision-making Customer understanding Cross-functional collaboration Communication and influence can become increasingly important as AI takes on more execution. How to Make Yourself Career-Ready, Not Just Job-Ready: Learn how to think beyond your next job title and build demonstrable capabilities and a portfolio that show employers what you can actually do. This is particularly relevant to early-career professionals who may not yet have extensive work experience. How to Plan Your Next 1, 3, and 5 Years: Create a practical career roadmap based on: Current role → Target role → Capability gaps → Experiences to gain → Proof of capability → Next career move Agenda: Opening | Your Career in an AI-First World: What does AI mean for someone starting their career today? Explore how AI is changing work, skills, and career opportunities. Part 1 | How AI Is Changing the Way We Work: Understand what AI is automating, what it is augmenting, and which human capabilities are becoming more valuable. Part 2 | Where Can a Technology Career Take You?: Explore career paths across Product, Data & Business Analytics, Design, and GTM, and understand how AI is shaping each one. Part 3 | What Will Set You Apart in an AI-First World?: Go beyond knowing AI tools. Discover the combination of Technology, AI, Business, Strategy, Communication, and Leadership that can help you create greater value. Part 4 | Preparing for Your Next Career Move: Understand what capabilities and experiences you can start building today to move toward the career you want next. Closing | Stay Relevant. Keep Moving Forward: Bring it all together with one question: “In an AI-first world, what kind of professional do you want to become?” Q&A and open discussion. What Is Included: 60–90-minute live masterclass AI-First Career Roadmap framework Career pathway map for technology professionals AI-first skills framework Self-assessment: Where Am I Today? 90-Day Career Action Plan Recommended resources for building technology, business, and AI fluency Frequently Asked Questions: Do I Need to Know AI? No. The session is designed for early-career professionals who want to understand how AI is changing careers, not for AI specialists. Do I Need a Technology Background? A technology or engineering background will make the examples especially relevant, but anyone starting their career and thinking about their future in an AI-first world can benefit. Is This a Technical AI Session? No. This isn't a session on coding, machine learning algorithms, or AI tools. It is about careers, capabilities, and the changing world of work. Will I Learn How to Use AI Tools? The focus isn't on teaching specific tools. Instead, you'll understand where AI fits into different roles and which capabilities you need to develop alongside it. Is This a Career Counselling Session? It is not one-on-one career counselling. It is a structured session designed to help you understand the changing career landscape and make better decisions about your own direction. What Will I Walk Away With? You'll leave with a clearer understanding of: Where technology careers are heading Which career paths could fit your strengths What AI means for those paths Which capabilities you need to develop What you can start doing in the next 90 days And most importantly, a framework for thinking about your career in an AI-first world.