India’s hiring outlook is strengthening, but the TeamLease employment survey shows that the next phase of urban job growth will depend on more than the number of vacancies created. The report points to a labour market being reshaped simultaneously by e-commerce, travel, technology, digital skills, artificial intelligence and changing compliance costs.
TeamLease Services’ survey of 1,239 employers across 23 industries and 20 cities projects a 5.4 per cent net employment change between October 2026 and March 2027. That is higher than the 4.7 per cent recorded six months earlier and marks the third consecutive half-year of growth, according to the report. Six in ten employers said they planned to expand their workforce during the period, while 16 per cent expected to reduce staffing and the remainder anticipated no change.
The figures matter to cities because employment growth is not distributed evenly across the urban system. Hiring decisions influence where workers move, which areas require better transport and housing access, and how demand builds around commercial districts, industrial clusters, logistics networks and service economies. The survey’s location findings suggest that established employment centres continue to attract employer interest even as the composition of jobs changes.
Large enterprises reported the strongest hiring intent at 66 per cent. Startups and small businesses followed at 59 per cent. The difference is not large, but it indicates that employment expansion is not being driven only by large corporate offices. Smaller businesses and startups remain significant parts of the demand structure, particularly in sectors where digital platforms, services and newer business models are expanding.
The sectoral pattern is especially important. E-commerce and technology startups recorded the highest projected net employment change at 12.6 per cent, followed by travel and hospitality at 12.3 per cent. Retail, automotive and electric vehicles completed the survey’s top five sectors. By contrast, business process outsourcing and educational services were described as close to flat.
This distribution points to a more mixed urban economy than a simple technology-led recovery. E-commerce creates demand across digital operations, sales, fulfilment and logistics, while travel and hospitality depend on a broad network of customer-facing, operational and support workers. Retail and automotive employment connect office-based activity with warehouses, dealerships, workshops and distribution systems. The survey does not provide city-level job counts, but its sectoral results indicate that employment growth will be experienced through several urban systems at once.
The strongest functional demand is for sales and marketing roles, followed by information technology and engineering. Blue-collar positions also show solid interest, with 24 per cent of employers identifying demand in that category. This is a significant detail in a discussion often dominated by software and office-based employment. It suggests that the hiring cycle includes operational work that supports consumption, mobility, logistics, manufacturing and services.
For city administrations, the distinction between job creation and accessible job creation remains crucial. The survey identifies demand, but it does not establish whether new roles will be located near affordable housing, connected by public transport or accessible to workers without advanced technical qualifications. Those questions are not answered by the employment outlook alone. They require attention to the spatial relationship between workplaces, housing and daily mobility.
Bengaluru was the leading target location in the survey, named by 68 per cent of employers. Hyderabad followed at 61 per cent and Pune at 60 per cent. The results show the continuing strength of established technology and services hubs. They also underline the concentration of employer demand in cities that already possess deep talent pools, specialised business networks and established commercial ecosystems.
This concentration has a direct urban consequence. When hiring demand rises in a small group of cities, pressure can build across office markets, rental housing, transport corridors and civic infrastructure. The supplied survey does not measure those pressures or compare infrastructure capacity between the three locations. It does, however, show that the geography of opportunity remains concentrated rather than evenly spread across the 20 cities covered.
The skills findings add another layer to that geography. Digital literacy was the most sought-after capability, cited by 59 per cent of employers. Communication skills and teamwork followed. Hard technical capabilities such as data analysis and automation ranked below adaptability and critical thinking in the reported employer preferences.
That ordering suggests that employers are looking for workers who can function within changing organisational and technological environments, not only candidates with narrow technical specialisations. It also raises a challenge for urban labour markets: the ability to benefit from new employment may depend on access to foundational digital learning and transferable workplace skills as much as on formal qualifications.
The survey’s artificial intelligence findings make that challenge more immediate. About 85 per cent of employers said they were already using AI or GenAI tools in some part of their workforce. However, only 13 per cent said they had expanded AI use across more than half of their workforce. The gap indicates that experimentation is widespread while deep organisational adoption remains limited.
The figures do not establish whether AI is creating or eliminating particular jobs. They also do not identify which occupations will change first or how workers are being trained. What they do show is a divide between the presence of AI tools and their scale of deployment. For employers, that may mean that adoption is still being tested within selected functions. For workers, it means that digital familiarity and adaptability are becoming relevant even when a job is not formally classified as a technology role.
This is where the survey intersects with the built environment. Technology employment is often discussed through office space and startup ecosystems, but AI adoption also affects the organisation of work across sales, customer service, logistics, retail and administrative functions. The report provides no evidence on changes in workplace footprints or commuting patterns, so those outcomes cannot yet be established. It does show, however, that the employment question is increasingly connected to how companies reorganise work.
The other constraint identified by employers is regulatory and administrative. About 39 per cent expected higher compliance and payroll administration costs because of the new labour codes. Another 35 per cent expected revisions to basic pay and allowance structures. Some employers also anticipated slower salary increments. Economic conditions remained the single biggest factor influencing hiring decisions, cited by 80 per cent of employers in the second half of financial year 2026-27, up from 67 per cent six months earlier.
These responses show that hiring intent is shaped by both demand and the cost of formal employment. Employers may want to expand, but their decisions are also affected by economic conditions, payroll structures and administrative requirements. The survey does not assess the legal implementation of the labour codes or determine their final effect on workers and firms. It records employer expectations, making the figures an indicator of perceived pressure rather than a measurement of realised costs.
For urban economies, that distinction is important. A city’s employment strength is not measured only by the number of firms announcing expansion. It also depends on whether businesses can sustain hiring, whether workers can acquire the skills being demanded and whether the city can accommodate additional economic activity. The survey offers evidence on employer intent, but not on completed recruitment, wage outcomes, worker retention or the distribution of jobs between formal and informal employment.
The evidence nevertheless identifies a clear pattern. India’s employment outlook is improving for a third consecutive half-year, with e-commerce, technology startups, travel and hospitality among the strongest sectors. Bengaluru, Hyderabad and Pune remain the leading target locations in the survey. Employers are prioritising digital literacy and adaptable workplace capabilities, while AI use is broad but not yet deeply scaled.
The unresolved question is whether this hiring momentum can translate into more widely accessible urban opportunity. The next evidence to watch is not only whether employers recruit, but where jobs are located, which workers can reach them, how skills are developed and how businesses absorb the administrative changes identified in the survey. Those factors will determine whether a stronger hiring outlook becomes a broad urban employment gain or remains concentrated in a few sectors and cities.
