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HomeNews & Current EventsCapgemini India to Recruit 45,000 in 2025, Prioritizing AI-Ready...

Capgemini India to Recruit 45,000 in 2025, Prioritizing AI-Ready Talent

TLDR: Capgemini India plans to hire between 40,000 and 45,000 individuals in 2025, with a significant focus on developing an AI-ready workforce. This strategic move comes amidst fluctuating hiring sentiments in the Indian IT sector and aims to meet increasing client demand for AI-driven solutions. The company will prioritize AI upskilling and training for both new and experienced hires, and its acquisition of WNS is set to further enhance its AI capabilities.

Capgemini, a global leader in consulting, technology, and digital transformation, has announced an ambitious hiring plan for India in 2025, aiming to recruit between 40,000 and 45,000 new employees. This significant expansion underscores Capgemini’s continued confidence in India as a crucial hub for delivery and innovation, even as the broader Indian IT sector navigates fluctuating hiring sentiments due to global economic uncertainties. Ashwin Yardi, Chief Executive Officer of Capgemini India, confirmed the aggressive recruitment drive, which is expected to push the company’s total India workforce beyond 200,000, solidifying its position as one of the largest international employers in the country.

The hiring strategy will adopt a balanced approach, with approximately 35% to 40% of the new positions allocated for lateral hires—experienced professionals suitable for mid and senior-level roles—while the remaining roles will target entry-level and fresh graduate talent. This recruitment momentum is fueled by an increase in work from global clients seeking cost-effective and innovative digital solutions at scale, highlighting India’s enduring appeal as a source of IT talent.

A cornerstone of Capgemini’s 2025 hiring strategy is the deliberate development of an “AI-ready workforce.” Recognizing the rapid evolution of artificial intelligence and its transformative potential across industries, Capgemini will integrate AI upskilling and training as a high priority within its induction process. Both new and seasoned employees will receive foundational and advanced training in various AI technologies, including machine learning, data analytics, generative AI, and automation platforms. The company has already forged active partnerships with over 50 Indian universities and educational institutions to streamline its campus recruitment and ensure new recruits are immediately productive in AI-centric projects. This proactive approach aligns with the industry’s growing demand for professionals skilled in cloud, data, and AI, positioning Capgemini as a key player in shaping India’s digital talent pipeline.

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Furthermore, Capgemini’s strategic vision for an AI-powered future is reinforced by its ongoing acquisition of WNS. This acquisition, poised to be Capgemini’s largest in terms of human personnel, is currently awaiting final regulatory approvals and is anticipated to close within the next six months. The integration of WNS’s “agentic AI” solutions with Capgemini’s existing analytics and consulting strengths is expected to significantly enhance the company’s capabilities in intelligent operations and business process services. This move is also seen as a strategic step to future-proof Capgemini, as client requirements increasingly pivot towards automation, advanced analytics, and intelligent solutions. The company expects to realize revenue synergies of $100M–$140M by 2027 from the WNS acquisition, with the deal forecast to be EPS-accretive by 4% pre-synergy and 7% post-synergy by 2026. Capgemini emphasizes that limited or no job redundancies are expected from the acquisition, reinforcing its employee-first approach.

Dev Sundaram
Dev Sundaramhttps://blogs.edgentiq.com
Dev Sundaram is an investigative tech journalist with a nose for exclusives and leaks. With stints in cybersecurity and enterprise AI reporting, Dev thrives on breaking big stories—product launches, funding rounds, regulatory shifts—and giving them context. He believes journalism should push the AI industry toward transparency and accountability, especially as Generative AI becomes mainstream. You can reach him out at: [email protected]

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