Gig Hiring in IT:

TCS

Tests New Model for Data Architects and Scientists

(TCS), India’s largest IT services provider, is exploring gig-style hiring arrangements for hard-to-retain specialists such as data architects and data scientists. The move signals a shift in India’s $283 billion offshoring sector, which is grappling with talent shortages and productivity shifts brought on by artificial intelligence. While the plan is still being finalized, it reflects TCS’s attempt to balance efficiency, cost control, and talent retention amid margin pressures and slowing revenue growth. - Specialists may be allowed to log in for a few hours and work elsewhere. - Targeted at roles where productivity is outcome-driven rather than time-bound. - Privacy and client confidentiality concerns remain key hurdles. TCS faces margin pressure and has committed $6.5 billion over six years to build >1 GW of data centre capacity. - FY25 revenue: $30.18 billion, up 3.8% YoY; FY26 outlook weaker due to client losses and BSNL contract completion. - July 2025: TCS laid off 12,200 employees (2%) across mid- and senior ranks, preparing for AI-driven reskilling. Gig hiring could reduce costs tied to employment benefits, gratuity, and idle salaries. - Helps retain scarce AI talent without committing to full-time contracts. - Seen as a flexible deployment model for large-cap IT firms with legacy workforce. Industry Implications - Marks a departure from pandemic-era moonlighting debates, reframing flexible work as efficiency-driven. - Likely limited to large IT firms, not mid-tier players or engineering research firms, due to privacy risks. - Could influence how utilization, compensation, and productivity are aligned in the AI era.