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Vishal Thakkar
Vishal Thakkar

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What’s happening in IT world

Layoffs are dominating headlines across the tech industry. In many cases, the explanation given is simple: “AI is replacing jobs.”

But the reality is far more complex.

Yes, AI is transforming how we work. It can generate code, automate tasks, analyze data, and speed up development cycles. But at the same time, we’ve also seen AI generated code introduce bugs, cause production outages, and create unexpected delays when pushed without proper review and governance.

In the last year alone, several teams have experienced situations where:
• AI-assisted code was pushed too quickly into production

• Critical issues were missed during review

• Production environments went down or required emergency rollbacks

• Teams had to spend hours debugging AI generated logic

This raises an important question:

Is AI really taking our jobs, or is it becoming a convenient narrative for cost-cutting and workforce restructuring?

Many companies are simultaneously:
• Investing heavily in AI tools

• Reducing workforce in high-cost regions

• Expanding hiring in lower-cost markets

So the conversation shouldn’t just be about AI replacing people. It should be about how organizations are reshaping talent strategies and cost structures.

The truth is:

AI is not a replacement for engineers, architects, or operators.

AI is a multiplier but only when combined with strong human expertise, architecture discipline, and operational governance.

The real skill shift happening right now is toward professionals who can:
• Architect resilient systems

• Review and validate AI-generated code

• Build strong CI/CD guardrails

• Ensure production reliability and governance

• Integrate AI responsibly into engineering workflows

The future workforce will not be AI vs Humans.

It will be Humans who know how to use AI vs those who don’t.

Instead of asking “Will AI take our jobs?”

Maybe the better question is:

“Are we evolving our skills fast enough to work alongside AI while ensuring reliability, security, and accountability?”

Because when production systems fail, AI doesn’t join the incident bridge call engineers do.

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