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IIT, 20 Years, No Job: Experience Premium Breaks

IIT, 20 Years, No Job: Experience Premium Breaks

Gautam Dev, a 61-year-old IIT Kanpur graduate with over two decades in software engineering, quit his Dallas job in September 2024 rather than relocate. Nearly two years later he is still unemployed, has burned through his savings, taken on credit card debt and now earns through Uber, DoorDash and Walmart Spark. He cleared multiple interview rounds but got no offer. His own read: age, a growing employment gap, and an AI-skills mismatch. He is now weighing a return to India. The story is a single case, but it maps onto a broader pattern — senior, generalist engineering profiles are being repriced while AI-adjacent skills command a premium. Key signal: An IIT Kanpur graduate with 20+ years in software engineering has been jobless since September 2024, exhausting savings and turning to gig work despite multiple interview rounds. For hiring leaders, this matters because for CHROs and TA leaders, this is the clearest illustration yet of a structural shift: experience alone no longer clears the bar. Senior engineers without demonstrable AI, data or platform depth are competing against cheaper, more current profiles — and losing. That has three consequences. One, your senior hiring bar must be redefined around skills adjacency, not tenure. Two, age and gap bias in screening is now a legal and reputational risk, especially with AI-driven CV filters. Three, India becomes the default landing spot for returning senior talent, adding supply at the top of the market. Plan for it. Teksands view: Stop treating tenure as a proxy for capability. The senior talent pool is now split into two tiers: those who can build with AI and those who can only talk about it. Audit your senior JDs this quarter — if they don't name AI, data or platform skills, you are hiring from the wrong end of the market. Also fix your screening: age and employment-gap bias is quietly filtering out experienced candidates who could be retrained faster than you can hire fresh.

Key fact

An IIT Kanpur graduate with 20+ years in software engineering has been jobless since September 2024, exhausting savings and turning to gig work despite multiple interview rounds.

Why it matters

For CHROs and TA leaders, this is the clearest illustration yet of a structural shift: experience alone no longer clears the bar. Senior engineers without demonstrable AI, data or platform depth are competing against cheaper, more current profiles — and losing. That has three consequences. One, your senior hiring bar must be redefined around skills adjacency, not tenure. Two, age and gap bias in screening is now a legal and reputational risk, especially with AI-driven CV filters. Three, India becomes the default landing spot for returning senior talent, adding supply at the top of the market. Plan for it.

The Teksands point of view

Stop treating tenure as a proxy for capability. The senior talent pool is now split into two tiers: those who can build with AI and those who can only talk about it. Audit your senior JDs this quarter — if they don't name AI, data or platform skills, you are hiring from the wrong end of the market. Also fix your screening: age and employment-gap bias is quietly filtering out experienced candidates who could be retrained faster than you can hire fresh.

Read the original source at The Economic Times →

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