Wall Street ke sabse influential research shop Goldman Sachs ne AI boom ke baare mein kuch aisi baatein kahi hain jo Silicon Valley ko sunna pasand nahi hoga. Do alag reports mein firm ne AI infrastructure ke do opposite ends ko dekha — ek team ne machine banane ki cost ko examine kiya, doosre ne machine ka actual performance check kiya.
Aur dono teams ek hi point par pahunche: machine ki cost zyada hai aur production kam hai. Ye ek rare institutional moment hai jab Goldman Sachs ke do wings ek saath same conclusion par aaye.
FOMO aur Insecurity AI Boom ka Real Driver
Goldman Sachs ka kehna hai ki FOMO (Fear of Missing Out) aur insecurity investors ke liye poor stock performance se bhi zyada strong incentive ban gaye hain. Jab tak AI ka actual performance clear nahi hai, tab tak log sirf is dar se invest kar rahe hain ki kahin woh peeche na reh jayein.
Business Insider ke mutabiq, Goldman Sachs ki do reports April mein publish hui. Ek report ne AI infrastructure ki cost ko dekha, doosre ne machine ke actual performance ko.
James Covello: AI Ka Sabse Bada Skeptic
Goldman Sachs ke global equity research head James Covello Wall Street ke sabse prominent aur consistent AI skeptics mein se hain. Unka maanna hai ki AI infrastructure ki cost bahut zyada hai aur production bahut kam. Ye wohi baat hai jo do alag teams ne independently confirm ki.
"FOMO has proven a stronger incentive than poor stock performance." — Goldman Sachs
Hamaari Baat: AI Boom Mein Reality Check Ki Zaroorat
Goldman Sachs ki yeh report ek important reality check hai. Jab tak AI ka actual performance clear nahi hota, tab tak FOMO aur insecurity investors ko drive karte rahenge. Lekin yeh bhi sach hai ki AI mein potential hai — bas uska actual impact abhi clear nahi hai. Investors ko chahiye ki woh blind FOMO mein nahi, balki facts aur data ke basis par decision lein.
