According to tech leaders at major semiconductor companies, the narrative around AI eliminating jobs misses the bigger picture. The real shift happening is in hiring preferences and skill requirements.



Companies aren't abandoning their workforce—they're fundamentally changing what they look for in candidates. AI expertise, data literacy, and adaptability are becoming baseline qualifications across industries. Traditional roles are evolving rather than disappearing.

This pattern mirrors what we're seeing in crypto and blockchain sectors. Early adoption meant demanding specialized technical knowledge, but now mainstream integration requires both technical depth and cross-functional skills. The market rewards those who can bridge traditional industry experience with emerging tech competencies.

The real question isn't whether your job exists in five years. It's whether you're positioning yourself to thrive in a skills-driven market. Upskilling and continuous learning aren't optional anymore—they're survival strategies in an AI-accelerated economy.
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RetiredMinervip
· 17h ago
ngl, this set of statements sounds good, but in reality, most companies are still laying off employees... they're just calling it "structural optimization."
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SighingCashiervip
· 01-06 17:32
NGL, this way of saying sounds comfortable, but are there really that many companies willing to spend money to train employees...
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MevHuntervip
· 01-06 17:27
NGL, this point is quite valid. Instead of worrying whether the testing work will disappear, it's better to quickly improve your knowledge in AI and data. Otherwise, you'll really get left behind.
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GateUser-5854de8bvip
· 01-06 17:26
Basically, it's just about competing; there's nothing new.
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TokenVelocityvip
· 01-06 17:13
Basically, you have to learn; if you don't, you'll be overwhelmed and left behind.
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