How to Future-Proof Your Career in the Age of AI?

The Core Argument

Guided by host Sanjay Saini, IT delivery leader Anuj Kohli argued that AI is rapidly becoming a standard commodity, much like the internet or smartphones before it. Anuj emphasized that the true danger to a modern career is not the technology itself, but an individual's ego and refusal to adapt. To future-proof a career, professionals must adopt an aggressive "inspect and adapt" mindset, continuously unlearning obsolete skills every quarter, leveraging AI tools to accelerate delivery, and anchoring their value in human empathy and business relationships that machines cannot replicate.

“It's about learning to unlearn. Unlearn what we have learned till today, and start learning what is coming with this AI age.” Anuj Kohli (05:33)

Detailed Answers

1. Could you give a brief overview of your professional experience?

Anuj brings over 23 years of experience in the IT industry. He began his career as a hands-on developer before evolving into a leader managing end-to-end project delivery. Throughout his career, he has successfully navigated both product and service organizations. Currently, he manages complex, large-scale cloud migrations to Azure within the fintech domain, drawing on his extensive background across healthcare and smart infrastructure sectors.

2. How is the AI era impacting the day-to-day work of IT professionals?

Anuj urged professionals to view AI as an evolving utility rather than a terrifying disruption. Just as the internet and mobile phones eventually eased our daily lives, AI will soon become a baseline commodity. The immediate impact on IT workers is the requirement to rapidly automate their own repetitive tasks. Thriving in this era demands a constant cycle of unlearning legacy habits and actively integrating new productivity tools into daily workflows.

3. How can individuals prove their ROI to their organization amidst AI cost-cutting?

Justifying your value hasn't fundamentally changed. Organizations ultimately care about optimization and profitability. Anuj explained that the highest-value professionals are those who leverage AI to bring technology to the market faster. If an employee uses generative tools to drastically reduce a project's delivery timeline or uncover new business efficiencies, their individual competency—not the AI tool—remains the true driver of that financial success.

4. Will AI eventually replace core human traits like empathy and strategic thinking?

No. Anuj firmly stated that no major organizational transformation has ever succeeded purely on the back of technology. AI cannot negotiate with stakeholders, align leadership, or build the trust necessary to drive change. While a tool can process data, guiding a team through the friction of a complex delivery lifecycle requires human empathy, customer-centricity, and relationship building—traits that remain exclusively human.

5. Should non-technical managers force themselves to learn hands-on AI coding?

While you don't necessarily have to become a software engineer again, basic AI literacy is now mandatory. Anuj noted that completely non-technical people are already using AI tools to build and scale businesses. For delivery and program managers, understanding how these tools function allows them to build better dashboards, estimate project timelines accurately, and hold informed, technically sound discussions with their development teams.

6. How have you personally utilized AI for non-corporate or side projects?

Anuj shared a personal success story where he utilized tools like Replit and Lovable to build a software product for his own use. He described the process as "beautiful"—translating a raw concept into a full-blown, deployed application in just a few hours simply by conversing with the machine via prompts. He achieved this without any formal training on the tools, proving the accessibility of modern AI development.

7. What are the red flags that indicate a professional's job is at risk?

There is no foolproof mechanism to safeguard a job today, but the biggest red flag is a lack of adaptability. If a professional relies solely on legacy knowledge and refuses to upskill, they are highly vulnerable. Anuj highlighted that the technology landscape shifts every few months; surviving requires an aggressive Agile mindset to quickly "inspect and adapt," pivoting away from obsolete skills before the market forces the issue.

8. What would you have done differently if you knew this AI boom was coming?

Predicting the market is nearly impossible—five years ago, the entire industry was focused squarely on cloud migrations. However, looking back with hindsight, Sanjay and Anuj agreed that setting up a specialized AI agency in 2021 would have been incredibly lucrative. Moving forward, Anuj stressed that professionals cannot plan in five-year increments anymore; career planning must now happen month-by-month as new models and capabilities are released.

“Technology itself cannot make a business program transform. At the end of the day, you need leaders and relationships.” Anuj Kohli (13:33)

Anuj's advice to continuously unlearn legacy habits and adapt to rapid technological shifts is a core tenet of our Artificial Intelligence training program, designed to keep mid-career professionals relevant.