Whalesbook
AI ke liye bada shift, par kaisa lag raha hai workforce ko?
Meta ne apne kaam karne ke tareeke mein ek bada change laya hai. Lagbhag 10% yaani 8,000 logo ko company se alag kar diya gaya hai. Aur maze ki baat ye hai ki 7,000 employees ko AI par kaam karne ke liye naye roles mil gaye hain. Company ka kehna hai ki yeh sab isliye kar rahe hain taaki unki teams aur structures aur tez ho sakein, bilkul AI ke tarike se. Yeh bada reshuffle Meta ke total workforce ka 20% hissa hai, jisme layoffs aur transfers dono shamil hain. Tech world mein aajkal sabhi AI par focus kar rahe hain, toh Meta bhi isi race mein hai.
Employees ka 'No' to Monitoring Software?
Lekin bhai, sab kuch itna smooth nahi hai. Internal protests bhi shuru ho gaye hain! 1,000 se zyada employees ne ek petition sign ki hai jisme kaha gaya hai ki company jo mouse-tracking software use kar rahi hai, jisse unke computer data collect ho raha hai AI models ko train karne ke liye, woh galat hai. Logon ko privacy ki chinta ho rahi hai aur leadership se transparency nahi dikh rahi hai. Aur upar se, sabka compensation bhi kam ho gaya hai. Saath lagbhag ₹4,17,400 se kam hokar ₹3,88,200 ho gaya hai 2024 se 2025 mein. Jabki CEO Mark Zuckerberg ne pehle kaha tha ki pehle kiye gaye layoffs overhiring ki wajah se mistake thi, ab yeh cuts AI mein paisa lagane ke liye kiye ja rahe hain.
AI Investment aur Market ka Reaction
Meta AI mein bohot bada paisa laga raha hai. Company AI infrastructure, custom chips aur bade language models mein khoob invest kar rahi hai taaki AI ko apne products mein integrate kar sakein. Yeh sab tab ho raha hai jab Meta ka stock pehle ke muqable kam performance dikha raha hai. Pichele 30 dinon mein stock lagbhag 10% gira hai aur apne 52-week high se 22% neeche chal raha hai. Kuch analysts abhi bhi positive hain aur price targets ~$817.71 ke aas-paas de rahe hain, lekin kuch ne risk dekh kar targets kam kar diye hain. Investors thode cautious lag rahe hain ki AI mein itna paisa lagane ka immediate fayda kab dikhega.
AI push mein Meta ke liye kya risks hain?
Is workforce change se Meta ke liye kai risks hain. Ek toh employees ka internal backlash, upar se compensation mein farq jahan top AI researchers ko $100 million tak mil rahe hain aur baakiyon ka pay kam ho raha hai. Isse company ke important talent ko khone ka dar hai. Poori tech industry mein AI ki wajah se jobs kam hone ka bhi andesha hai; estimate hai ki 300 million global jobs automation se affect ho sakte hain. Meta ka kehna hai ki yeh layoffs AI ke wajah se nahi hain balki compute infrastructure mein paisa lagane ke liye hain, lekin unka data collection ka tareeka regulations ki nazar mein aa sakta hai. Competitors jaise Microsoft aur Google bhi AI mein bada investment kar rahe hain, toh Meta ka manpower strategy critical ban jata hai.