Whalesbook
AI se GCCs ki strategy mein bada change
Dekho bhaiyo, Global Capability Centers (GCCs) mein jobs ka game badal raha hai. Ab companies zyada log bharti karne ke bajaye, artificial intelligence (AI) use karke efficiency badhane par dhyan de rahi hain. Yeh ek bada economic shift hai, jahan businesses ab AI ko productivity boost karne ke liye use kar rahe hain.
Growth se zyada productivity pe focus
Jaise Info Edge ki Q4FY26 ki earnings calls se pata chalta hai, job market thoda slow ho gaya hai. Kuch bade GCCs ne hiring kam kar di hai ya staff bhi reduce kiya hai. Companies generative AI, automation, aur AI agents use karke apni efficiency improve karne ki koshish kar rahi hain. GCC sector mein yeh ek common trend ban gaya hai, jahan companies ab chote lekin impactful teams banana chahti hain, jinmein future-ready skills ho, na ki sirf zyada log.
AI Talent ki demand toh full aag laga rahi hai
Bhale hi overall hiring kam ho gayi ho, AI aur machine learning professionals ki demand bohot tezi se badh rahi hai, especially engineering roles aur achhi salary wale positions ke liye. Companies AI experts ko dhoondh rahi hain, jo saal mein ₹20 lakh se ₹50 lakh tak kamana chahte hain. Tech sector mein AI, machine learning aur data science roles mein bohot growth dikh raha hai. AI engineering job postings India mein globally sabse zyada badh rahi hain, jabki pehle ke software development roles ab automation sambhal raha hai.
Job mobility kam hui, contract roles badhe
Log ab naukri change karne se darr rahe hain kyunki AI se jobs jaane ka aur economic uncertainty ka fear hai. Isliye, attrition rates stable lekin kam hain. Saath hi, GCCs mein contractual aur flexible staffing badh rahi hai, jo 2026 tak 25% roles tak pahunch sakti hai. Isse companies ko project ki need ke hisab se teams adjust karne mein help milti hai, jahan skills ki immediate need zyada important hai long-term employment se. Staffing firms bolti hain ki positions fill karne mein badi gap hai, kyunki salary expectations, location preferences aur required skills match nahi ho rahe hain.
Potential Risks aur Challenges
Info Edge ne Q4FY26 mein achhe results report kiye hon, par yeh badalti hiring strategy kuch risks bhi la sakti hai. Agar AI par zyada depend kiya gaya productivity ke liye, toh skill gaps create ho sakte hain, especially younger workers ke liye jo zyada time nahi rukte. Specialized aur well-paid talent ki high demand se income inequality badh sakti hai aur senior roles ke liye hiring mein difficulties aa sakti hain. Skill aur salary mismatch ke karan positions fill na ho pana ek bada talent market issue hai jise sirf AI solve nahi kar sakta. Contract roles ka badhna flexible zaroor hai, par agar permanent staff development ko balance nahi kiya gaya toh employee loyalty aur knowledge retention par impact pad sakta hai. Info Edge ka platform Naukri.com yeh trends track kar raha hai, par less specialized jobs mein hiring ka slow hona, especially younger workers ke liye, chinta ka vishay hai.
Hiring ka Future Outlook
GCCs ab sirf cost saving nahi, balki capability advantages par focus kar rahe hain, jis se senior aur specialized talent ki demand badh rahi hai. IT sector mein recovery ke signs hain, aur ₹20 LPA se upar ki salary brackets mein strong demand hai. Naukri JobSpeak Index ke according, hiring activity year-on-year badhi hai. Lekin, AI ka hiring decisions par ongoing influence dikhata hai ki specialized skills par focus rahega aur non-specialized fields mein job creation slow ho sakta hai. Info Edge, India ke recruitment market mein ek major player hone ke naate, is shift se fayda uthane ke liye achhi position mein hai, especially high-value segments mein.