Infosys AI jobs strategy shows a different approach in 2026 as Infosys confirmed no layoffs and plans to hire 20,000 freshers, according to India Today, published on April 30, 2026, with CEO Salil Parekh outlining its AI workforce plans.
Why Infosys is not laying off employees despite AI
Infosys AI jobs strategy focuses on expansion rather than reduction. Salil Parekh stated that the company has not carried out layoffs in the past year. He also confirmed that no such plans are expected in the near term.
At the same time, he explained that AI is changing work patterns. However, it is not reducing workforce demand. Instead, it is increasing the scope of tasks handled by engineers. This change is visible across multiple delivery teams.
What changed in Infosys AI jobs approach
The model highlights a shift toward reskilling. Engineers now learn both traditional coding and AI-driven development methods. This approach ensures adaptability across projects and improves delivery speed.
Meanwhile, the company continues hiring entry-level talent. Infosys plans to onboard around 20,000 fresh graduates this year, matching last year’s intake. This reflects stable hiring despite automation trends and industry pressure.
Impact on workforce and IT industry
The company’s approach contrasts with peers across the IT sector. Companies such as TCS, HCLTech, Oracle, and Cognizant have adjusted workforce structures during AI adoption. These changes include restructuring teams, optimizing costs, and aligning roles with automation-led efficiencies across different business units.
In contrast, Infosys maintains workforce levels. The company focuses on training rather than reducing roles. This approach supports long-term skill development and workforce stability across business units.
Supporting data and AI contribution
Infosys AI jobs strategy includes measurable business impact. AI already contributes about 5.5% to company revenue. This share continues to grow with increased adoption and enterprise demand.
The company is also expanding partnerships with OpenAI and Anthropic. In addition, internal platforms such as Topaz Fabric support AI-driven workflows across teams and improve operational efficiency.
