Infosys Chairman Nilekani Calls Fears of AI Job Losses "Hogwash"
Infosys chairman Nandan Nilekani, one of India's best-known tech founders, has brushed aside fears that AI will destroy jobs. Bloomberg quotes him calling those fears "hogwash." In his view, the technology is more likely to revive small business and increase demand for new skills. The statement matters because of who is making it: Infosys is one of the world's largest IT outsourcing companies, and players like it are considered the first in line for automation risk. • Position: AI expands the market rather than shrinking it • The main beneficiaries, according to Nilekani, are small businesses • Demand is growing for new skills, not only for old roles
AI-processed from Bloomberg Tech; edited by Hamidun News
One of the most influential figures in India's IT industry has publicly called the labor market's biggest fear "hogwash." Nandan Nilekani, co-founder and chairman of Infosys, said that AI will not destroy jobs. Instead, it will spur small business and create demand for new skills. Bloomberg quotes him using the word "hogwash." According to the latest available data, the company he chairs earns about $19 billion a year and employs more than 300,000 people. For an employer of that size, the statement carries weight.
Who is speaking and why it matters
Infosys is one of the "big five" of Indian IT outsourcing. The business model of such companies has historically rested on large numbers of engineers, testers and maintenance staff who write and support other companies' code. This is exactly the work that generative models and coding agents automate best. Skepticism toward AI optimism in this industry is therefore understandable: according to Nasscom estimates, the entire Indian IT sector employs around 5.8 million people, and every report of layoffs at a large company reads as a symptom.
Nilekani, however, is no ordinary executive. He is known as the architect of Aadhaar, India's national digital identity system, and has long promoted the idea of public digital infrastructure. His view of technology is built on scale: by this logic, a cheap and accessible tool opens the market to those who previously could not afford it.
Two arguments
As Bloomberg presents it, the argument comes down to two points. First, AI will strengthen small businesses. If text generation, data analysis, customer support and the development of simple applications get cheaper, a small company gains capabilities that used to be available only to a large one. Second, demand for new skills will grow. Work does not disappear but shifts toward people who can set tasks for models, check the results and build AI into workflows.
The available excerpt gives no details of the calculations and no specific figures, so this is a position, not a forecast backed by a model. There is no verifiable data yet.
Key points:
- Speaker: Nandan Nilekani, chairman of Infosys.
- Risk assessment: fears of mass job loss called "hogwash."
- Expected effect 1: growth of small business thanks to accessible AI.
- Expected effect 2: demand for new professional skills.
- Context: about $19 billion in revenue and more than 300,000 employees at Infosys, and around 5.8 million people employed in India's IT sector (according to the latest available data).
Where the position is vulnerable
The main objection is obvious. Aggregate economic growth does not guarantee that a particular tester or maintenance developer will find a new role in time and for the same pay. Several large Indian IT companies have already announced layoffs, and junior hiring has slowed noticeably in recent years. A chairman's optimism may be right for the market as a whole and still fail to answer the question facing an individual employee.
The company also has its own interest. Infosys sells AI implementation services to clients, so the narrative that "AI creates work" matches its commercial agenda. This does not invalidate Nilekani's arguments, but they are worth reading with that caveat.
What teams and professionals should do
The practical takeaway does not depend on who is right in the debate over scale. People working in development and outsourcing would be wise to shift their profile from routine code writing toward designing, reviewing and integrating AI systems. Small business owners should work out which functions, such as support, reporting and first-pass analytics, can already be handed to models without a loss of quality. IT department heads need metrics that show the real dynamics: output per employee, the share of tasks involving AI, and how quickly new hires become productive. In two or three quarters, those numbers will say more than any loud statement.
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Key Questions Answered
Who is speaking and why it matters?
Infosys is one of the "big five" of Indian IT outsourcing. The business model of such companies has historically rested on large numbers of engineers, testers and maintenance staff who write and support other companies' code. This is exactly the work that generative models and coding agents automate best. Skepticism toward AI optimism in this industry is therefore understandable: according to Nasscom estimates, the entire Indian IT sector employs around 5.8 million people, and every report of layoffs at a large company reads as a symptom. Nilekani, however, is no ordinary e
What are the key details on Two arguments?
As Bloomberg presents it, the argument comes down to two points. First, AI will strengthen small businesses. If text generation, data analysis, customer support and the development of simple applications get cheaper, a small company gains capabilities that used to be available only to a large one. Second, demand for new skills will grow. Work does not disappear but shifts toward people who can set tasks for models, check the results and build AI into workflows. The available excerpt gives no details of the calculations and no specific figures, so this is a position, not a f
Where the position is vulnerable?
The main objection is obvious. Aggregate economic growth does not guarantee that a particular tester or maintenance developer will find a new role in time and for the same pay. Several large Indian IT companies have already announced layoffs, and junior hiring has slowed noticeably in recent years. A chairman's optimism may be right for the market as a whole and still fail to answer the question facing an individual employee. The company also has its own interest. Infosys sells AI implementation services to clients, so the narrative that "AI creates work" matches its commer
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