The Great AI Scramble
The competition for AI talent has officially gone nationwide. Once considered secondary markets, cities like Jaipur, Indore, Coimbatore, and Chandigarh are now becoming key battlegrounds in the mission to skill, upskill, and retain a workforce capable
of powering the next wave of technological growth. Recent reports show a clear trend: hiring for AI roles is steadily expanding beyond traditional tech hubs. According to a July 2026 report from Indeed, while metro cities still lead in AI recruitment, nearly one in four employers now view Tier-2 and Tier-3 cities as emerging talent hubs. This shift isn't just about a few companies setting up satellite offices; it's a systemic change, with local governments, educational institutions, and new startups all joining the race with newfound determination.
Drivers of Decentralisation
Several powerful forces are fuelling this urgency. The post-pandemic acceptance of remote and hybrid work has been a major catalyst, allowing companies to tap into talent pools regardless of location. Professionals, in turn, are increasingly opting to build careers closer to their hometowns, seeking a better quality of life and lower living costs. Companies are finding this advantageous, as access to talent in smaller cities can lead to higher employee retention and reduced operational costs, including salaries that are 25-30% lower than in major hubs. Furthermore, a strong push from the central government through initiatives like the IndiaAI Mission, which has a budget of over ₹10,000 crore, is creating the necessary infrastructure. This mission explicitly aims to establish hundreds of Data and AI labs in Tier-2 and Tier-3 cities to democratise access to AI education and training.
Hubs, Labs, and Homegrown Talent
The abstract ambition is translating into concrete action on the ground. States are launching ambitious programs to cultivate local talent. In Uttar Pradesh, the government has a roadmap to make all 75 districts 'AI-skilled', aiming to train 1.5 lakh individuals per month. Karnataka is establishing 50 specialised AI labs in government colleges across its smaller towns. Cities like Jaipur are becoming hotbeds for SaaS, fintech, and AI platforms, supported by state initiatives like iStart Rajasthan. Similarly, Ahmedabad and Chandigarh have emerged as fast-growing AI hiring centres, with a significant percentage of employers reporting an increase in demand for AI professionals. This is creating a virtuous cycle: the availability of skilled graduates from regional universities encourages startups to form locally, which in turn provides more opportunities for talent to stay and grow.
Bridging the Opportunity Gap
This decentralisation is not just a geographic shift; it's also broadening the definition of who works in AI. A 2026 report noted that nearly one in five AI learners now comes from a Tier-2 city like Lucknow, Patna, or Nagpur. Crucially, the field is opening up to those from non-technical backgrounds. Almost 25% of learners are from fields outside of engineering, reflecting AI's growing application in marketing, finance, human resources, and consulting. This trend suggests AI skills are becoming a core competency across various business functions, not just a specialised IT role. For employees, this translates into significant career mobility, with one report highlighting an average salary increase of 145% for women who transitioned into AI-enabled careers.
The Distributed Future of Work
While major metros like Mumbai and Bengaluru still lead in the sheer volume of AI jobs, the rapid growth in smaller cities signals a fundamental rebalancing of India's tech landscape. This trend is about more than just cost arbitrage; it's a strategic move to build a more resilient and distributed national workforce. For companies, it means access to a wider, more stable talent pool. For professionals, it means that high-value career opportunities are no longer tied to a specific postcode. As these emerging hubs mature, they are not just replicating the ecosystems of larger cities but are also developing their own specialisations, such as AI-driven manufacturing in Coimbatore or agri-tech solutions in Indore. This diversification is crucial for India's ambition to become a global leader in artificial intelligence, ensuring that the benefits of the AI revolution are shared more broadly across the country.
