Artificial Intelligence1 min read

AI may automate routine IT work. These are the skills that could command a pay premium

By · Via Times of India · Published by Everything Blog

In short

A widespread verification bottleneck is emerging as enterprises struggle to trust and contextualize automated outputs, leaving only 15% of APAC CEOs reporting simultaneous revenue growth and cost cuts. Advanced AI architects and evaluators now command steep salary premiums over routine support roles. This disparity is intensified by an acute talent deficit, with enterprises facing an up to 60% shortage in generative AI and cloud architectures despite widespread operational integration.

Key points

  • AI-Core positions that design and govern intelligent systems capture significantly higher…: AI-Core positions that design and govern intelligent systems capture significantly higher starting salaries and projected wage growth than support functions.
  • Widespread organizational distrust in automated outputs highlights a severe deficit in hu…: Widespread organizational distrust in automated outputs highlights a severe deficit in human leaders prepared to audit and manage systemic AI risks.
  • Geographic location is diminishing as a determinant of tech compensation compared to spec…: Geographic location is diminishing as a determinant of tech compensation compared to specialized technical depth and domain context.

Sources checked by our analysis pipeline: 1

By Neeti Sharma, CEO, TeamLease DigitalThe contemporary enterprise operates in an environment defined by unprecedented geopolitical volatility, economic shifts, and rapid technological acceleration. Across the Asia-Pacific region, 81% of senior leaders identify the capacity to operate effectively amid constant change and uncertainty as an indispensable leadership requirement. Against this backdrop, artificial intelligence is shifting from a technological initiative to the core operating model.

India’s tech ecosystem is undergoing a structural transition: the shift from AI Fluency to AI Capability.

- The Literacy Stage: Individual experimentation, tool usage, and basic prompt engineering.

- The Fluency Stage: Integration of AI into role-specific workflows and task-level automation.

- The Capability Stage: Enterprise-grade production where AI systems are deployed, secured, governed, and scaled with named human accountability.

While 81% of APAC midmarket enterprises have embedded AI into daily operations, only 27% report that their leaders are fully prepared to integrate AI-generated insights, exercise critical judgment, and manage compound risk. As execution costs collapse toward zero, compensation and enterprise value are decoupling from traditional job titles and tenure. Instead, value is concentrating at the intersection…

Artificial Intelligence