A Paradox at the Heart of the Boom
A recent survey conducted in July 2026 by the anonymous professional network Blind has uncovered a significant paradox: the people building AI are among the most worried about losing their jobs. The study, which included 1,552 India-based professionals,
found that a staggering 66% of those in AI and machine learning (ML) roles expect a layoff or major headcount reduction in their team within the next three to six months. This level of anxiety places AI/ML professionals second only to sales and marketing staff (68%) and ahead of product and design teams (65%) in their concern over job security. The finding challenges the widespread belief that a career in AI is a safe haven in a turbulent tech landscape, revealing a deep-seated uncertainty even in one of the most in-demand fields.
Why the Anxiety? The Skills Treadmill
One of the primary drivers of this fear is the rapid evolution of the technology itself. The skills required to be at the forefront of AI development have an incredibly short shelf-life. What is cutting-edge today can become standard or even obsolete tomorrow. This creates a relentless pressure on professionals to constantly upskill and adapt. While a recent Nomura report found that India is creating 2.6 AI-related jobs for every one it loses, it also highlighted a crucial mismatch. The jobs being eliminated, often in support or routine tasks, require different skills than the new, highly specialised AI roles being created. This creates a two-tier labour market where demand for experienced experts soars, but entry-level hiring declines, leaving many feeling they are just one innovation away from being left behind.
From Hype to Hard Numbers
The initial AI boom was fuelled by experimentation and investment in research and development. Now, the industry is entering a new phase where companies are demanding a clear return on investment (ROI). This shift from hype to financial reality means that AI projects and teams that aren't delivering tangible business value are coming under scrutiny. Professionals are noticing warning signs long before official announcements. The Blind survey revealed that hiring freezes were the most cited warning signal for layoffs (27% of respondents), followed by budget cuts (24%). Only 9% cited a formal layoff announcement as the primary sign. This pressure to prove value is forcing companies to streamline, restructure, and in some cases, cut teams that are not directly contributing to the bottom line, regardless of how innovative their work may be.
The Bigger Picture: A Sector in Flux
The anxiety among AI workers doesn't exist in a vacuum. It reflects a broader correction and restructuring across India's entire IT and tech sector. After a period of massive hiring, many large firms have slowed recruitment and reduced headcount. While AI is a net job creator for now, it is also a catalyst for this broader shift, automating roles that were once the bedrock of India's outsourcing industry. Interestingly, the Blind survey found that traditional engineers reported feeling the most secure, with only 24% saying layoffs were 'very likely' in their teams. This suggests that while AI specialists face pressure from rapid innovation cycles, core engineering roles may be perceived as more stable for now. This dynamic highlights that job security in the tech world is no longer about being in the 'hottest' field, but about possessing foundational, adaptable skills.
