r/TechnologyNewsIndia

While layoffs and AI fears dominate the industry, Jensen Huang says young people should be optimistic, not terrified.

Speaking at Carnegie Mellon University, Huang argued that AI is lowering the barrier to building useful things, giving more people access to powerful tools than ever before.

His key point:
“AI won’t replace you. Someone using AI better than you will.”

That’s a much more practical take than the extreme predictions floating around Silicon Valley lately.

Huang also took a subtle swipe at AI doomsday rhetoric from leaders like Dario Amodei and Elon Musk, saying CEOs need to stop speaking with absolute certainty about technologies that are still evolving fast.

And honestly, he’s probably right about one thing:
Nobody actually knows how AI reshapes jobs over the next decade.

Some roles will disappear. New ones will emerge. Most jobs will probably just change.

The real pressure now is on people who refuse to adapt while workflows around them evolve rapidly.

Do you agree with Jensen Huang’s view that AI mainly rewards adaptability, or are we underestimating how many jobs could vanish completely?

Surya Midha reportedly hit a $2.2 billion net worth at just 22 through Mercor, an AI-driven recruitment platform he co-founded with friends Brendan Foody and Adarsh Hiremath.

That puts him ahead of even Mark Zuckerberg in reaching billionaire status at such a young age.

What makes Mercor interesting is how aggressively it leans into automation-first hiring:
AI matching talent, screening candidates, and helping companies hire faster at scale.

And investors are clearly buying into the vision.

Mercor reportedly scaled annual revenue from around $100 million to nearly $500 million within months, pushing its valuation to $10 billion with backing from firms like:

• Benchmark
• General Catalyst
• Felicis Ventures

The bigger story though is what this says about the current AI startup wave.

AI tools have dramatically lowered the barrier to building and scaling companies. Small teams can now move at speeds that previously required massive workforces.

At the same time, India is seeing a huge founder boom, especially among Gen Z entrepreneurs using AI to build lean, global-first businesses.

The question is whether this becomes sustainable long term or turns into another overheated AI gold rush.

Because right now, AI startups are scaling incredibly fast. The harder part will be proving they can defend those businesses once competition catches up.

Do you think AI startups today are building long-term businesses, or are investors repeating the same hype cycle seen during earlier tech booms?

The AI job debate has shifted fast this year.

In April 2026 alone, over 21,000 layoffs in the US were directly linked to AI adoption. Globally, tech layoffs have already crossed 93,000 this year, hitting firms from Oracle to Tata Consultancy Services.

And the striking part is this:
Many of these companies are still profitable.

The goal now isn’t survival. It’s becoming “AI-native” faster.

At the same time, AI is creating entirely new roles too:

• AI integration specialists
• Forward Deployment Engineers
• AI operations teams
• Infrastructure and deployment experts

Companies like OpenAI and Anthropic are hiring aggressively in these areas.

The broader shift feels pretty clear now:
Fewer large transactional teams. More highly specialized AI-focused workers.

Even Indian GCCs are changing hiring strategies:
“Start lean, scale later” is becoming the new model.

The real uncertainty is what happens next.

Best-case scenario:
AI augments workers, productivity rises, and reskilling creates new career paths.

Worst-case scenario:
Companies prioritize efficiency aggressively, middle-skill jobs shrink, and the workforce divides sharply between AI-enabled workers and everyone else.

Honestly, we’re probably heading toward a mix of both.

Do you think AI will mostly create better jobs after this transition period, or are companies using AI mainly as a reason to permanently reduce headcount?