More Jobs Created Than Lost, But There's a Catch
Recent data offers a surprising narrative that runs counter to the typical fear of mass unemployment. A report from Nomura highlights that for every job displaced by AI in India, approximately 2.6 new AI-related roles are being created. Between 2022 and
August 2026, India saw around 83,100 AI-related hires, compared to about 31,921 layoffs linked to the technology. This suggests a net positive impact on employment, establishing India as what Nomura calls “ground zero” for understanding AI's global workforce effects. However, this positive headline number hides a critical friction point: the people losing jobs in routine tasks, such as support teams being replaced by chatbots, are rarely the ones being hired for the new, specialized AI roles. This creates a challenging 'mixed market' where opportunity and risk exist side-by-side.
The Rise of the Two-Tier Labour Market
The core challenge emerging from India's AI transition is the creation of a two-tiered labour market. Companies are reducing hiring for entry-level positions, which have traditionally served as the training ground for fresh graduates. An ICRIER survey noted that 55% of IT firms reported a decline in entry-level hiring. Instead of hiring and training junior talent, businesses are now prioritizing candidates who already possess specialized AI expertise. This shift disrupts the conventional career ladder, creating soaring demand for experienced professionals while shrinking opportunities for those just starting out. Even those in dedicated AI and Machine Learning roles are not immune to uncertainty. A survey from the workplace community platform Blind found that 66% of AI/ML professionals in India expect layoffs in their teams within the next six months, reflecting anxiety driven by budget decisions and shifting priorities.
Why Proactive Career Planning is Non-Negotiable
In this environment, waiting to see what happens is the riskiest move a professional can make. The structural shift means that career paths are becoming more fluid and skill-based rather than tenure-based. The jobs being automated are those heavy on routine, transactional tasks, while the roles being created demand a combination of technical skill and human judgment. A recent IFSC AI Survey found that 32% of entities expect AI to drive significant re-skilling rather than net job reductions, reinforcing that the nature of work itself is transforming. This makes a deliberate, proactive career plan essential. It’s no longer about simply acquiring a degree and climbing a pre-defined ladder; it's about continuously aligning your skills with the evolving demands of the market.
The New High-Demand Skillset
The demand for specific AI-related skills is exploding. A report from TeamLease Digital indicates that for every 10 open Generative AI roles, only one qualified engineer is available, with the overall AI talent gap projected to reach 53% by 2026. The most sought-after capabilities now include prompt engineering, AI orchestration, data science, machine learning engineering, and AI compliance and risk management. Beyond pure tech, there is a growing need for professionals who can bridge the gap between AI tools and business functions. According to a Nasscom report, being truly 'AI-native' goes beyond just using tools; it requires deep engineering judgment and the ability to combine AI output with human expertise. Professionals in roles from marketing to finance and operations are now expected to leverage AI, making digital literacy a baseline requirement across industries.
Your Action Plan: Upskilling for the AI Era
Navigating this new landscape requires a concrete plan. First, identify the repetitive, automatable tasks within your current role and actively seek to learn the AI tools that can perform them. This frees you up to focus on higher-value strategic work. Second, invest in formal upskilling. With a significant skills gap, companies are paying premiums for qualified talent. Platforms like Future Skills Prime, a NASSCOM and government partnership, are designed to reskill professionals in emerging technologies. Third, focus on building uniquely human skills that AI cannot replicate: critical thinking, creativity, strategic decision-making, and complex problem-solving. Finally, adopt a mindset of continuous learning. The technology is evolving at a pace where skills need constant refreshing. Following industry reports and identifying trends will help you stay ahead of the curve and position yourself as an asset in the human-AI workplace.
