Infosys Chief Executive Salil Parekh has firmly ruled out any layoffs at the company, even as the IT services industry braces for deeper automation and AI‑driven restructuring across the globe. In a recent interview, Parekh asserted that Infosys has not carried out any job cuts over the past year and does not see any such moves in the foreseeable future, positioning the company’s AI strategy as a net‑job‑creator rather than a destroyer. The stance marks a contrast with several global peers that have announced workforce‑reduction plans under the banner of “rightsizing” for AI‑powered productivity.
No layoffs, more hiring and reskilling
Parekh reiterated that Infosys will continue to hire around 20,000 fresh graduates every year, while simultaneously upskilling its existing workforce to adapt to AI‑driven tools and platforms. The message is clear: instead of shrinking headcount, the company plans to expand its talent base and re‑engineer roles around new technologies. This hiring‑plus‑reskilling model is being framed as a core pillar of Infosys’ AI‑first strategy, with the assumption that AI‑augmented services will grow the total addressable market enough to absorb more people, albeit in redefined roles. The CEO also stressed that AI is expected to expand the overall scope of work at Infosys rather than contract it, even as the nature of entry‑level and support‑level jobs evolves.
AI as a growth lever, not just a cost‑cut engine
Infosys has publicly sized the AI‑services opportunity at roughly $300–400 billion by 2030, breaking it down into six broad value‑pool areas such as AI‑first application modernisation, intelligent operations, and AI‑augmented analytics. The company’s AI‑day briefings and investor communications emphasise that AI‑driven productivity gains may offset some legacy‑IT revenue, but the broader AI‑consulting and implementation pie will be far larger. Infosys is betting that enterprises will pay more for AI‑driven solutions than they save by cutting mundane tasks, and that this will create fresh demand for consultants, developers, and data‑science specialists. Strategic partnerships, such as the one with Anthropic for advanced‑enterprise AI, are meant to accelerate Infosys’ ability to capture that wallet share.
How roles are expected to change
While ruling out layoffs, Infosys also acknowledges that AI will reshape job profiles, especially at the junior and middle levels. Routine coding, documentation, basic testing, and even parts of low‑context customer‑support work are expected to be partially automated, but the focus is shifting toward “AI‑orchestration” roles—where humans design prompts, validate outputs, ensure compliance, and integrate AI tools into broader business flows. The company’s platform‑based offerings, such as Infosys Topaz, are built around this philosophy, allowing clients and Infosys teams to layer AI on top of existing workflows rather than replace whole functions. For employees, the pitch is continuous‑learning‑driven career evolution rather than a binary choice between obsolescence and redundancy.
A broader statement on India’s IT workforce
Parekh’s comments carry sector‑wide resonance at a time when global tech and outsourcing firms are re‑examining their India‑centric workforce models. By publicly committing to sustained hiring and rejecting the “automate‑and‑cut” playbook, Infosys is signalling that it sees India’s large, young talent pool as an asset in the AI race, not a cost to be minimised. The stance also reflects a calculation that building AI‑domain expertise in India—client‑facing AI consultants, prompt engineers, data‑governance experts, and so‑on—will be key to defending margins as basic programming and testing work gets commoditised. In this light, the “no layoffs” message is less a one‑off assurance and more a long‑term strategic branding of Infosys as a tech‑employment‑builder riding the AI‑growth wave rather than a downsizing‑driven casualty of it.