Will your job survive AI? Experts say new tech may replace tasks, not humans

Artificial intelligence is transforming industries by automating tasks once considered stable, including coding, financial analysis, and customer service. While this shift has raised concerns about job security—especially among young professionals—experts like Ankush Sabharwal, founder of CoRover.ai, emphasize that AI is reshaping work rather than eliminating it entirely. Sabharwal compares AI’s potential to the internet’s impact, which created entirely new industries, and predicts demand for roles like AI trainers, ethics auditors, and human-AI interaction designers. However, the transition will not benefit everyone equally. Workers who adapt continuously will thrive, while those resistant to change may struggle. Roles dependent on emotional intelligence, ethics, and human judgment—such as therapy, teaching, and nursing—are seen as more secure because AI cannot replicate lived experience, moral reasoning, or genuine empathy. Sonica Aron, founder of Marching Sheep, notes that professions requiring leadership, negotiation, and relationship-building remain difficult to automate. AI is already assisting in healthcare by improving diagnostics and data analysis, but patient-facing roles still require trust and contextual decision-making. Sabharwal highlights several fields less vulnerable to AI disruption, including mental health professionals, skilled trades (e.g., electricians, mechanics), UX researchers, social workers, and creative strategists. Physically adaptive jobs, requiring manual dexterity, also remain resilient, according to Praphul Chandra, director of Atria University’s AI Centre of Excellence. The shift toward AI integration is accelerating, with tools now embedded in hiring, workflows, and skill assessments. While repetitive tasks face automation risks, experts stress that human-centric skills—such as creativity, ethics, and interpersonal communication—will remain critical. The key to navigating this transition lies in upskilling and embracing roles that complement rather than compete with AI.