Goldman Sachs ke chief information officer Marco Argenti ka maanna hai ki har employee ke AI use ko track karna productive nahi hai. Woh ek alag tareeke se AI ki effectiveness measure karte hain — dekhte hain ki unki 12,000 engineers ki team kitni jaldi idea ko production mein badal paati hai.
Fortune ke mutabiq, Argenti ne Business Insider ko bataya ki investment bank ke paas har employee ke AI use ka exact data hai, lekin us detail par focus karna helpful nahi hai.
Goldman Sachs ka AI productivity measure — kyun alag hai
Argenti ne ek example diya. Unhone kaha, "Yeh aisa hai jaise aap field mein sirf ek player ko dekh rahe ho. Theek hai, yeh player zyada movement kar raha hai, lekin main kyun..." Unka point yeh hai ki individual tracking se overall productivity ka sahi andaaza nahi lagta.
Companies aaj kal employees ko AI adopt karne ke liye push kar rahi hain taki productivity badhe. Lekin Argenti ka approach alag hai. Woh measure karte hain ki unki engineering teams kitni jaldi ek idea lekar usse actually execute kar paati hain.
12,000 engineers ki speed — asli metric
Argenti ke hisaab se, asli sawaal yeh nahi hai ki har employee kitna AI use kar raha hai. Asli sawaal yeh hai ki poora team kitni effectively AI ka use karke ideas ko real products mein badal pa rahi hai.
AOL ke mutabiq, woh is baat par focus karte hain ki Goldman ke engineers kitni jaldi idea se production tak jaate hain, aur kya unka output actually improve kar raha hai ki nahi.
Hamaari Baat: Individual tracking vs team output — kya sahi hai
Hamari nazar mein, Argenti ka approach kaafi logical hai. AI ek tool hai — jaise computer ya internet tha. Agar aap har employee ke computer use ko track karte, toh woh productivity ka sahi measure nahi hota. Asli measure yeh hai ki poora organisation kitna output de pa raha hai.
Lekin ek baat dhyan dene ki hai — individual tracking bilkul useless nahi hai. Agar koi employee AI ka galat use kar raha hai ya usse avoid kar raha hai, toh woh bhi pata hona chahiye. Shayed balance approach better ho — team-level metrics ke saath kuch basic individual checks bhi rakhna chahiye.
Goldman Sachs ka yeh approach bataata hai ki AI adoption mein ek shift aa raha hai — ab companies individual usage se hatkar overall impact dekhna chahti hain.
