Whalesbook
So, AI ki wajah se IT services ka cost kam ho raha hai. Analysts keh rahe hain ki FY27 tak India ki badi IT firms ka revenue growth pakka slow hoga. Ye isliye kyunki AI ki wajah se clients ko ab wahi kaam kam logon aur kam time mein ho jaata hai. Example ke liye, jo project pehle 500 log 18 mahine lagaate the, ab shayad 50 log hi use kar payenge. Iska matlab companies ko har project se milne wala revenue kam ho jayega.
Abhi toh Google aur OpenAI jaise players AI costs ko handle kar rahe hain, par ye fayda baad mein clients, AI model developers aur service providers mein bant jayega. Motilal Oswal Financial Services ka kehna hai ki IT companies ke share prices shayad abhi tak is shift ko fully reflect nahi kar rahe hain, jo investors ke liye risk ho sakta hai. Aur ye sab uss time ho raha hai jab AI-native companies aage badh rahi hain, jabki purani IT firms ko naye pricing models aur competition se nipatna pad raha hai.
Pehle IT firms ka jo USP tha ki unko companies ke systems ki gehri samajh hai aur unhone saalon se processes integrate kiye hain, ab AI ye sab kaafi tezi se seekh raha hai. Isse purane players ka alag dikhna mushkil ho gaya hai. Market ab AI-native companies ko prefer kar raha hai jo latest tech mein master hain.
Jo companies 'outcome-based pricing' ka claim kar rahi hain, unhe check karna padega. Motilal Oswal batata hai ki project milestones par based pricing aur asli performance improvement par based pricing mein farak hai. Ab contracts sirf time and material ke nahi rahe, balki results par based ho rahe hain, kyunki AI ki productivity badh gayi hai aur clients bhi wahi payment chahte hain jitna value mil raha hai.
TCS, Infosys, HCLTech, aur Wipro jaise bade players ke liye ye ek bada challenge hai. AI direct unke main income sources par attack kar raha hai, jo kam labor cost aur standard IT management par banaye gaye the. AI se naye income streams toh banenge, par bahut si firms pa rahi hain ki AI automation itni tezi se badh raha hai ki woh naye, high-value AI services develop karne se peeche reh ja rahi hain. Iski wajah se deals bhi chhoti ho gayi hain, jaise pehle $100 million wale projects ab $80 million ke aas-paas hain kyunki kam staff mein jaldi ho rahe hain. TCS, Infosys, aur HCLTech ko AI-driven growth toh dikh rahi hai, par FY27 ke liye sector ka outlook cautious hai, kuch firms ke liye growth forecast 1-4% ke beech hai. Ye global rivals Accenture se kam hai, jo FY26 ke liye 2-5% growth expect kar raha hai. Indian IT leaders ke stock valuations mein bhi ye difference dikh raha hai: TCS aur Infosys 32x aur 29x ke aas-paas P/E par trade kar rahe hain, jabki HCLTech aur Wipro 26x aur 24x par. Nifty IT index ne toh February 2026 mein 19.5% tak ka dip dikhaya tha, jo 17 saal mein sabse bada monthly fall tha, AI ke impact ki wajah se. Offshore services ka traditional model, jisme log aur ghanton ke hisab se charge karte the, woh ab pressure mein hai kyunki clients integrated platforms aur results chahte hain, sirf staff nahi. Accenture ne toh AI mein bahut invest kiya hai, bahut si AI-focused businesses khareedi hain aur significant GenAI revenue report kiya hai, jo Indian IT firms ke partnership-focused strategy se zyada hai. Sabse badi chinta ye hai ki AI ka cost reduction, naye AI revenue se zyada tez ho sakta hai, jiska impact FY27 tak profits aur future growth par padega. Market ka reaction, jisme Nifty IT index mein recent earnings ke baad 5% ka girawat dekhi gayi, woh individual AI successes se pare, wider concerns dikha raha hai.
Analysts expect kar rahe hain ki FY27 mein Indian IT sector moderate growth dikhayega. Pricing aur revenue models par AI ka impact ek key factor rahega. Kuch predictions mein large companies ke liye FY27 tak sector-wide revenue increase 4.50% dikhaya gaya hai, par global economic uncertainty aur geopolitical tensions jaise challenges abhi bhi hain. Investors un details ka intezar karenge jo results se linked pricing aur AI-native partnerships ke announcements mein milengi. Short term mein, value creation AI-native businesses ke liye hone ki ummeed hai, jabki traditional IT vendors ko pricing pressure se guzarna padega, jo unki growth prospects ko limit karega.