Wipro says AI-driven productivity gains are allowing it to redeploy employees rather than replace them, as the IT industry reshapes workforce models, expands AI skills and focuses increasingly on business outcomes.
Wipro’s adoption of artificial intelligence has generated productivity gains equivalent to the work of around 20,000 employees, with the company redeploying those workers across other roles and projects, according to its Chief Technology Officer Sandhya Arun.
The development comes as India’s $315 billion software services sector undergoes a major shift in how technology companies approach hiring, software development and client engagements. Rather than treating AI solely as a means of reducing headcount, Wipro is positioning it as part of a new operating model in which employees work alongside AI systems and agents.
Wipro had around 243,000 employees as of June. Arun said more than 100,000 employees have undergone advanced AI training and certification as the company works towards what she described as a “human-AI operating model”.
Under this approach, an engineer could supervise multiple AI agents while simultaneously working on another project or preparing for a different role. Arun stressed that the transition should not be viewed simply as a one-to-one replacement of employees by AI agents.
AI reshapes skills and workforce deployment
Wipro is also expanding its pool of forward-deployed engineers, who work closely with customers to help accelerate AI adoption. Arun did not disclose a specific target for the company's forward-deployed workforce but indicated that its scale would likely be comparable with that of other major IT services companies.
The broader focus, she said, should remain on ensuring engineers acquire the skills required to work effectively with AI systems rather than concentrating solely on the number of forward-deployed professionals.
The shift is taking place across the Indian IT industry. Tata Consultancy Services (TCS) said in June that hiring growth would slow as it works towards a workforce comprising an equal number of employees and AI agents.
TCS plans to create a pool of up to 8,900 forward-deployed engineers, while Infosys is targeting around 6,000 over the coming years. These professionals are expected to work within client organisations and help implement AI-led initiatives.
Arun said the success of AI adoption should ultimately be measured by outcomes rather than productivity gains alone. “The shift has to be from productivity to outcomes,” she said, pointing to customer experience, new revenue opportunities and achievement of business objectives as more meaningful measures.
Wipro faces pressure to convert AI investments into revenue
Wipro is currently the only company among India’s four largest IT services firms that does not publicly disclose its AI-related revenue. Analysts say the company remains in a phase where substantial investments in training and partnerships are yet to translate fully into commercial gains.
According to reports, Manoj Chandra Jha, principal analyst at Nord-IQ Research, said Wipro's investment in AI training and ecosystem partnerships is broadly comparable with that of TCS, Infosys and HCLTech, but its commercialisation is less mature than some of its peers.
The next test for Wipro, he said, will be whether its growing AI-related engagements can translate into stronger revenue and eventual improvement in margins.
For Wipro, the emerging human-AI model therefore represents more than a workforce restructuring exercise. Its ability to convert productivity gains, employee reskilling and AI investments into measurable customer outcomes and commercial growth could determine how effectively it competes in the next phase of India's technology services market.
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