Indian IT Stocks: AI ka dar, Nifty IT **23%** gira! Analysts bolein 'Abhi kharidna shuru karo'

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AuthorIshaan Verma|Published at:
Indian IT Stocks: AI ka dar, Nifty IT **23%** gira! Analysts bolein 'Abhi kharidna shuru karo'
Overview

Bhai log, Indian IT stocks mein aajkal hahakaar macha hua hai. Nifty IT index saal mein ab tak **23%** gir chuka hai, jo market ke overall performance se kaafi kam hai. Sara kasoor Artificial Intelligence (AI) ka hai, jiske dar se investors shares bech rahe hain. AI ki wajah se prices kam ho sakte hain aur automation badh sakta hai, isi baat ka dar hai. Lekin experts keh rahe hain ki long-term mein sab theek ho jayega, aur value investors ko dheere-dheere achhi companies ke shares kharidne chahiye.

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Indian IT Sector: AI Ke Sell-off Se Dhakka, Re-rating Ka Darr

Indian tech sector ekdum se gire hue hai, aur Nifty IT index 2026 mein lagbhag 23% neeche aa gaya hai. Ye broadly market ke 10% decline se kaafi zyada hai aur pichhle lagbhag 3 saalon mein sector ki sabse kharab performance hai. Ye sell-off sirf Artificial Intelligence ko lekar investors ki chinta ki wajah se ho raha hai, na ki kisi general market crash ke karan. HCLTech, Infosys, aur Wipro jaise bade IT firms ke FY27 ke liye disappointing earnings aur kamzor revenue forecasts ne in darr ko aur badha diya hai. 'AI deflation' ka idea pricing power ke liye khatra mana ja raha hai aur IT services ko automate karne ka reason ban sakta hai. Ye sab tab ho raha hai jab clients bhi kharcha karne mein savdhan hain aur deals bhi kam ho rahi hain. Clients AI-driven projects par zyada focus kar rahe hain, jabki traditional IT services par kharch dheema hai. Companies abhi bhi apne AI strategies banane ke shuruati stage mein hain.

Zyada Shareholder Payouts: Internal Investment Ke Liye Kam Mauke?

Market ki mushkilon ke bawajood, Indian IT companies ne FY26 mein shareholders ko record ₹1.3 lakh crore dividend aur buybacks ke through diye hain, jo pichhle saal se 36% zyada hai. Infosys aur Wipro ne bade buyback programs announce kiye hain. Ye bade payouts, shareholders ko reward karne ke sath-sath, companies ke andar high-return investment ke maukon ki kami ko bhi ishara karte hain. Analysts isko slow growth ke dauran shareholder value badhane ka smart tareeka maan rahe hain. Lekin ye bhi umeed hai ki companies AI capabilities mein investment badhayengi, chahe wo internal development se ho ya potential acquisitions se.

AI Hai Ek Reset, Sector Ka End Nahi

Industry experts ka kehna hai ki current AI disruption IT sector ke liye ek zaroori adjustment hai, na ki uska permanent nuksan. Bade technological changes hamesha adaptation maangte hain. Is phase mein spending patterns aur business models mein badlav aayega. Lekin, AI, cloud computing, aur digital services ki fundamental demand mazboot hai. Current market sentiment darr ki wajah se chal raha hai, na ki is belief se ki sector collapse ho jayega. AI se IT companies par do tarah se asar padne ki ummeed hai: growth badhegi aur cost efficiencies aayengi. Established IT firms ke liye, long-term outlook positive rehne ki ummeed hai jab wo AI ko apne services mein integrate karenge, agar wo AI technologies mein investment karte rahein.

Volatility Se Kaise Nipatna Hai: Selective Buying Strategy

Sector ke AI ko adjust karne ke sath-sath short-term market swings aage bhi chalte rahenge. Lekin, jo investors medium to long term ke liye dekh rahe hain, unke liye current market dip buying ka achha mauka hai. Experts keh rahe hain ki IT stocks bechne nahi chahiye, balki dheere-dheere unhe accumulate karna chahiye. Stock selection bahut important hai, jismein Infosys aur Tech Mahindra jaise bade companies stability offer karte hain. Mid-tier firms jaise Persistent Systems aur Coforge ko growth opportunities mana ja raha hai. Investors ko exact bottom pakadne ki koshish karne ke bajaye, market dips mein dheere-dheere kharidna chahiye. Digital transformation, cloud migration, aur AI deployment ki underlying demand sector ke future ko support karti rahegi.

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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.