Info Edge CEO: AI Will Cut Routine Jobs, Create New Career Paths

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AuthorAarav Shah|Published at:
Info Edge CEO: AI Will Cut Routine Jobs, Create New Career Paths
Overview

Info Edge CEO Hitesh Oberoi predicts artificial intelligence will eliminate routine jobs while creating new career opportunities. The company is investing heavily in AI to automate processes, enhance user experience on platforms like Naukri.com, and develop advanced recruitment tools. This strategic pivot aims to boost productivity and adapt to the changing job market.

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Artificial intelligence is set to profoundly transform the job market, according to Hitesh Oberoi, managing director and CEO of Info Edge (India). He foresees AI eliminating standardized, repetitive tasks while also creating entirely new job categories.

Automation of Routine Roles

Oberoi sees routine, repetitive jobs as the primary candidates for AI-driven automation. Roles involving standardized processes, such as in customer support, data processing, and entry-level operations, are increasingly vulnerable. "If people become more productive, you need fewer people to do the same work," he stated, highlighting the efficiency gains from technological adoption.

Creation of New Job Categories

Historically, major technological advances have always created new industries and jobs, a pattern Oberoi expects AI to follow. While some jobs will be lost, he predicts new roles will emerge that we can't even imagine yet. This cycle of disruption and innovation means the workforce must be adaptable.

Info Edge's AI Transformation

Info Edge, which runs popular platforms such as Naukri.com, Jeevansathi.com, 99acres.com, and Shiksha.com, is heavily integrating AI into its core operations and user experience. The company is transforming itself with AI-driven automation, productivity boosts, and data-based decisions.

AI in Recruitment and Skilling

Info Edge has launched an AI-powered resume builder, automating a task that previously required human professionals. AI-driven mock interview tools are also available, letting candidates practice in simulated settings. This shows a growing link between hiring and skill development.

Scaling AI Investments

Oberoi highlighted Info Edge's ongoing commitment to adopting new technologies. The company has greatly increased investment in AI talent and crucial infrastructure like GPUs and advanced servers. Although Info Edge has used machine learning for nearly ten years for personalization and recommendations, this current AI drive marks a significant acceleration.

Empowering Recruiters

On the recruiter side, Info Edge is developing agent-led hiring solutions that automate significant parts of the recruitment process, from candidate shortlisting to initial screening. These tasks traditionally take up a lot of time, allowing human recruiters to focus on more strategic, high-value work.

Data-Driven Enterprise Solutions

Using its vast data, Info Edge is building enterprise tools that provide deep workforce insights. These include talent analytics, salary benchmarking, and competitive intelligence, all powered by advanced machine learning. These tools help companies understand talent availability, salary trends, and the competitive landscape.

Strategic Pillars and Integration

Info Edge's AI strategy focuses on three main areas: improving backend systems, launching new user features, and boosting monetization with advanced tools. The company is also pushing for AI integration across all departments, from engineering to marketing, to increase productivity and speed up product delivery. Backend operations, such as pricing, discounting, customer targeting, and matching algorithms, are now increasingly managed by advanced machine learning systems.

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Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.