The AI Mandate Goes Mainstream
For years, AI was the concern of the IT department. Today, it’s everyone’s business. A recent Korn Ferry survey found that 73% of Indian employees say AI is now integrated into how their work gets done. This isn't just about tech companies; professionals
in banking, finance, manufacturing, and healthcare are now expected to have a degree of AI fluency. This widespread adoption has triggered a massive demand for new skills. According to NASSCOM, India's demand for AI and data science professionals is expected to surpass one million by 2026, creating a significant talent gap. The pressure is on, as 82% of employers in India report difficulty filling roles, with AI-related skills topping the list of the hardest to find. This has moved the conversation from abstract awareness to urgent application, as companies now prioritise what candidates can do with AI, not just what they know about it.
From Niche Skills to Core Capabilities
The skills in demand are both technical and non-technical. On the technical side, expertise in machine learning, data analysis, Python programming, and cloud platforms like AWS remains critical. However, the rise of generative AI has created a new layer of required competencies. Prompt engineering—the ability to get reliable outputs from tools like ChatGPT—is now a sought-after skill, appearing in job descriptions far beyond the tech sector. Another crucial area is AI-assisted data analysis, where employees use AI to clean, summarise, and visualise data without needing to be expert coders. Beyond these technical skills, a general 'AI literacy' is becoming a baseline expectation for all professionals. This involves understanding how to work alongside AI tools to improve productivity and make better decisions. The goal for many companies is no longer just to hire AI specialists, but to create a workforce where everyone is AI-proficient.
Companies Pivot from Hiring to Upskilling
Faced with a stark talent shortage, Indian companies are aggressively shifting their strategies. Rather than relying solely on external hiring, many are investing heavily in upskilling their existing workforce. Close to 50% of Indian tech professionals report receiving AI training support from their employers. This trend is particularly prominent in India's Global Capability Centres (GCCs), where an estimated 60% of the workforce will require reskilling by 2030. Companies are moving beyond experimentation and are now embedding AI into their core processes and even performance reviews. This has led to the redesign of entire roles and workflows. Instead of isolated functions, businesses are creating more interconnected, 'T-shaped' roles, where employees combine deep domain expertise with broad capabilities in technology and data. The focus is on building teams that can deliver immediate business impact, combining seasoned employees with targeted new hires and structured upskilling programs.
The New Human-AI Workplace
The integration of AI is creating a more productive, albeit more demanding, work environment. A stunning 81% of Indian employees report that AI has improved their efficiency, but 78% also say their workload has significantly increased. AI is not just replacing tasks; it is expanding job roles and creating new responsibilities. This is leading to a two-tiered labour market, with weaker demand for entry-level workers whose routine tasks can be automated, and stronger demand for experienced professionals who can apply judgment and expertise alongside AI. While a Nomura report found that AI-related hiring has so far outpaced layoffs in India, the nature of work is undeniably changing. The most valuable professionals are those who can collaborate with AI, using it to automate repetitive work and free up time for critical thinking, relationship-building, and strategic problem-solving—areas where human intelligence remains essential.
