
AI and the Future of Jobs in Bangalore – A Double-Edged Sword
by Abhinav
BANGALORE: As the sun rises over the Silicon Valley of India, a new dawn emerges, not just of a day, but of an era dominated by Artificial Intelligence (AI). The rapid emergence of generative AI tools, such as ChatGPT, has stirred a cocktail of excitement and anxiety among the city’s young graduates. But is this fear justified?
Recent findings from the Cengage survey highlight the palpable concern among college graduates about AI’s impact on their employability. On the other hand, the World Economic Forum’s Future of Jobs Report paints a promising picture, with AI and Machine Learning Specialists topping the list of fast-growing jobs. So, where does this leave our graduates?
Namrata Khawas, Human Resources Manager at Oracle India Pvt. Ltd, offers a balanced perspective. “The landscape is undoubtedly shifting,” she says. “While AI is automating certain tasks, it’s also creating avenues for roles that didn’t exist a decade ago. What we’re looking for now are individuals who can seamlessly blend soft skills with technical prowess.”
Manish Kumar, another HR stalwart from Oracle, based right here in Bangalore, echoes this sentiment. “The city has always been at the forefront of technological evolution. Our graduates need to see AI not as a threat, but as an ally. Emotional intelligence, negotiation, and communication, when combined with AI proficiency, can make them unstoppable.”
But herein lies the challenge. Our education system, while robust, needs to evolve to equip students with this dual skill set. Bangalore, with its rich IT legacy, is uniquely positioned to lead this change, not just for India but for the world.
As a citizen of this vibrant city, my position is one of cautious optimism. AI is a double-edged sword. While it can automate, it can also innovate. Our graduates, with the right guidance and training, can ride this wave to unparalleled success. But the clock is ticking, and the onus is on educational institutions, corporations, and policymakers to ensure that Bangalore remains the beacon of IT excellence it has always been.
The AI revolution is not about man versus machine. It’s about man and machine, together, forging a future that’s brighter than ever before. Bangalore, with its blend of tradition and innovation, is ready for this challenge. The question is, are we?
Extended Interview
Namrata

..I’d stress on adaptability, continuous learning, collaboration ..and emotional intelligence…
Namrata Khawas: AI is transforming industries, and while it might seem intimidating, especially for fresh graduates, it’s also opening up a plethora of opportunities. We’re not just talking about job losses; we’re talking about job evolution.
But do you think our colleges and universities are keeping pace with this evolution?
Honestly, there’s a gap. While some premier institutions are integrating AI and tech-driven modules, a large portion of our educational system is still playing catch-up. We need a more holistic approach that combines traditional learning with modern tech insights.
Bangalore, being the tech heart of India, must be feeling this shift profoundly. How is the city’s job market responding?
Absolutely. Bangalore is at the epicenter of this change. We’re seeing startups focusing solely on AI-driven solutions, and established tech giants are pivoting rapidly. The job market is vibrant, but yes, the demand for skills is changing.
There’s a real fear among the youth about AI ‘stealing’ jobs. As someone deeply embedded in the hiring process, what would you tell them?
I’d say, “Evolve and adapt.” Every era has its challenges. When computers first arrived, there was a similar panic. But look at how many jobs IT created. AI is a tool. The key is to learn how to leverage it, not compete against it.
If you had to pinpoint a few skills that will be gold in the AI era, what would they be?
Beyond the obvious AI and machine learning skills, I’d stress on adaptability, continuous learning, and collaboration. And let’s not forget emotional intelligence; machines might process data, but humans understand emotions.
Note: The extended interview with Namrata Khawas has been translated and paraphrased at parts for ease of readability.
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