Tech Jobs Reduction: Kya AI ke naam par 'mirage' dikha rahe hain CEOs?

TECHNOLOGY
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AuthorRiya Kapoor|Published at:
Tech Jobs Reduction: Kya AI ke naam par 'mirage' dikha rahe hain CEOs?
Overview

Bade bade tech leaders keh rahe hain ki AI ki wajah se productivity badh gayi hai aur isliye layoffs ho rahe hain. Par bhai, asal mein lagta hai yeh sab ek misconception hai. Internally dekho toh productivity ke issues abhi bhi hain, matlab leaders ke AI plans aur actual impact mein kaafi gap hai.

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Leaders aur Ground Reality mein disconnect?

Ye jo khabar chal rahi hai ki AI insaanon ki jagah le lega, woh company ke numbers mein toh dikh nahi raha hai. Leaders futuristic, automated duniya ki baatein karte hain, par asal kaam kaise hota hai, iski samajh shayad unko bhi nahi hai. Abhi jo itne zyada layoffs ho rahe hain, woh lagta hai sirf cost cutting ke liye ho raha hai, aur AI ka bahana use kiya ja raha hai, na ki sach mein technology ke karan jobs gaye hain.

Reality vs. Leaders ki expectations

Pichhle tech changes ke opposite, jahan cost aur output clear tha, aajkal AI agents use karne mein log AI ko manage aur monitor karne mein zyada time laga rahe hain, produce karne mein kam. Jab companies bade AI systems lagati hain, toh AI outputs ko manage karna, errors theek karna, aur performance track karna ek naya, hidden kaam ban jata hai. Jo companies productivity jumps ki baatein karti hain, unke paas isko prove karne ka clear data nahi hota, lagta hai woh staff kam karke apni kamzor growth ko chhupa rahe hain.

Aggressive Automation ke Risks

Agar companies jaldi mein AI automation karne ki zid karein, toh yeh operational risks badha sakta hai. Jab companies middle management ko is belief par hata deti hain ki AI sab sambhal lega, toh woh company ka valuable knowledge kho deti hain. Isse business mushkil mein pad sakta hai agar AI performance atak jaye, jo bade projects mein common hai. Jo companies 'AI washing' par depend karti hain, unko labor disputes aur shareholders ko galat information dene ke legal risks bhi zyada hote hain. Agar company ka model aise AI par nirbhar hai jo complex situations handle nahi kar sakta, toh executive level par bottleneck ek critical failure point ban sakta hai.

Future Valuations par doubts

Investors ko un claims se savdhan rehna chahiye jo staff cut karne par based hain. Expected AI returns aur pichhle industry performance ke beech gap badh raha hai. 2026 tak, jo companies AI ko human oversight ke saath integrate karengi, woh zyada steady output de payengi. Jo businesses '100x' hype ke peeche bhaag rahi hain, real efficiency ke bajaye, woh long-term mein loss utha sakti hain jab AI ka initial excitement khatam ho jayega.

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Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.