When I look at where India’s technology story is headed, I see an extraordinary opening, not disruption. In every conversation I have with young engineers today, the question has shifted from “Will AI replace me?” to “How do I collaborate with AI?”
This shift is reflective of how technology is evolving at breakneck speed and how the “half-life” of technical skills is shrinking with it. The World Economic Forum’s Future of Jobs Report 2025 estimates that 39 percent of core job skills are expected to change by 2030. In India specifically, an estimated 63 percent of the workforce will need significant upskilling or reskilling by the same year.
For young engineers this shift may seem worrisome. But here’s the perspective I want them to hold onto: virtually every major technology wave in history has ultimately created more opportunities than it destroyed. The internet gave rise to roles that simply didn’t exist in 1995. AI is doing the same thing right now. New roles like AI trainers, agent specialists, AI security experts, and many more are already emerging across Indian companies. The real question is not whether new jobs will exist but how ready we are to step into those roles. The key to success will be the ability to adapt and learn these new skills. For young engineers, the key will be to “learn to learn”; this ability will help them adapt and take on the new and redefined roles.
That readiness sits at the heart of what LinkedIn’s Ryan Roslansky and Aneesh Raman describe in ‘Open to Work: How to Get Ahead in the Age of AI’. Careers today aren’t defined by a job title or a perfect five-year plan. They are shaped by skills built in motion, by continuous experimentation and by the willingness to keep learning as the world changes around you. In the age of AI, that openness isn’t just an advantage — it’s the whole game.
The future of work is shifting
Most employers already recognize this change. Instead of hiring only for what someone knows today, companies are increasingly hiring for potential and the ability to learn. The WEF report notes that 30 percent of Indian employers have adopted skills-based hiring, well above the global average of 19 percent. And over 85 percent of organizations globally are prioritizing upskilling and reskilling in direct response to AI-driven change.
This is precisely why collaboration with AI matters as it is the fastest route to acquiring and applying new skills.
This transformation is already underway at the ground level. Microsoft’s latest ‘Work Trend Index 2026’ report found that 66 percent of AI users globally say technology has allowed them to spend more time on high-value work, and 58 percent say they are producing work they couldn’t have done a year ago. More strikingly, AI is being used as a thought partner. Nearly half of the interactions with AI co-pilot tools (such as Microsoft 365 Copilot) support deeper cognitive tasks like analyzing information, solving problems and creative thinking.
As AI takes on more execution, human agency is expanding. This is what the shift from command to collaboration looks like in practice.
Technical careers are evolving. This change is reshaping how young engineers should think about their careers and treat AI as a digital ally. Thriving in a collaborative model with AI demands a different kind of engineer. Three principles, in my experience, will define who will truly thrive.
Fundamentals matter more, not less. In a world where an AI can write serviceable code, engineers who deeply understand systems, algorithms and architecture are the ones trusted to build things that actually scale and make the calls that matter.
Momentum beats mastery. Progress comes from experimenting with new tools, iterating often and learning continuously. Standing still is the only real risk.
Judgment is the real differentiator. Many people, and now many AI systems, can produce output. Far fewer can determine which ideas are genuinely valuable, which problems are worth the effort, and what success actually looks like. AI can help you code; it cannot decide your goals, understand your customer, or define what matters. That judgment, informed by experience, ethics, and empathy, is what sets great professionals apart.
India’s AI moment
All of this places India in a unique position. Our country combines an extraordinary engineering talent pool—second largest in the world—with digital ambition and the ability to innovate at scale in the age of AI.
The proof of this is being built from India every day. Take one example close to home. The Microsoft India Development Center (IDC), our largest R&D hub outside the United States, has been in Hyderabad for 27 years. The teams here aren’t adapting to the future; they are helping shape world-class innovation, not as participants, but as architects.
So what do all these changes mean for an early-career engineer navigating a market that feels both exciting and uncertain?
The traditional career ladder is giving way to a climbing wall, where lateral moves, new projects and continuous upskilling drive progress. Being Open to Work in the age of AI isn’t about uncertainty. It is about taking genuine agency over your own growth. The strongest signal in this market isn’t a perfect résumé. It is evidence that you are still learning, still building, still reaching for what comes next.
And that brings us back to where this moment began—not with disruption, but with collaboration. Our young technologists have every reason to approach this future with confidence. With strong fundamentals, a bias for action, and the judgment to know what actually matters, they can be a driver of innovation in an AI-powered world — not a passenger watching it happen.
