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? 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.
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.
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.
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.
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?
This session is built for you if you are:
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.
This session is built for you if you are:
Understand what is happening to traditional entry-level work and why the path from individual contributor → specialist → manager is changing.
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.
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.
Understand why capabilities such as:
can become increasingly important as AI takes on more execution.
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.
Create a practical career roadmap based on:
Current role → Target role → Capability gaps → Experiences to gain → Proof of capability → Next career move
What does AI mean for someone starting their career today? Explore how AI is changing work, skills and career opportunities.
Understand what AI is automating, what it is augmenting, and which human capabilities are becoming more valuable.
Explore career paths across Product, Data & Business Analytics, Design, and GTM is shaping each one.
Go beyond knowing AI tools. Discover the combination of Technology, AI, Business, Strategy, Communication and Leadership that can help you create greater value.
Understand what capabilities and experiences you can start building today to move toward the career you want next.
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.
No. The session is designed for early-career professionals who want to understand how AI is changing careers, not for AI specialists.
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.
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.
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.
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.
You’ll leave with a clearer understanding of:
And most importantly, a framework for thinking about your career in an AI-first world.
Principal Product Manager,
Microsoft
Niranjan Maski is a Principal Product Manager Lead at Microsoft, working on AI ERP & enterprise business applications. His work spans product management, AI, and solving real-world business challenges through technology. He is passionate about sharing industry perspectives and helping students connect classroom learning with real-world technology and career opportunities.