Wipro Share Price in Focus; CTO Says AI Productivity Gains Equivalent to 20,000 Workers

Wipro's growing use of artificial intelligence is beginning to change how work is organised inside the company. As per Reuters report, its AI initiatives have generated productivity gains equivalent to the output of around 20,000 employees, according to Chief Technology Officer Sandhya Arun. 

The employees linked to these productivity gains have been redeployed within Wipro. The company is also moving toward a model where employees work alongside AI agents instead of treating automation as a direct replacement for people. 

More Than 100,000 Employees Trained in AI 

Wipro had around 243,000 employees in June, while more than 100,000 employees have received advanced AI training and certifications. 

Arun said an engineer could manage several AI agents while working on another project or preparing for a different role. In her view, the shift does not necessarily translate into a person being replaced by an AI agent. 

Wipro Builds its Forward-Deployed Workforce 

Wipro is also expanding its pool of forward-deployed engineers who work with clients to accelerate AI adoption. Arun did not give a specific number, but said Wipro's workforce in this area would likely be comparable with peers. 

TCS has plans for up to 8,900 such engineers, while Infosys is targeting about 6,000 over the next few years. 

AI Monetisation Remains a Key Test 

Arun said the focus should move from productivity towards outcomes, including better customer experience, new revenue opportunities and progress against business goals. 

Wipro is currently the only one among India's four largest IT companies that does not disclose AI revenue. 

Read More: Glenmark Pharmaceuticals Share Price in Focus; Launches RYALTRIS Nasal Spray in Brazil! 

Wipro Share Price Performance  

As of 11 September 2026, at 1:37 PM, Wipro Ltd share price is trading at ₹167.05 per share, reflecting a surge of 0.45% from the previous trading session. 

Conclusion 

Wipro's AI strategy is already producing measurable productivity gains, while the company continues to train employees and expand client-facing AI capabilities. The next phase will depend on how effectively these investments translate into commercial returns. 

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