Whalesbook
Toh bhai, situation ye hai ki AI ko real world mein implement karna thoda tough ho raha hai. Sirf software deliver karna ab kaafi nahi hai. Isliye, Infosys, HCLTech, Wipro, Coforge jaise bade players ne apne engineers ko seedha client ke 'war rooms' mein bhej diya hai. Isko bolte hain Forward Deployed Engineers (FDEs), jo advanced tech ko business needs se connect karte hain.
AI Ke Liye On-Site Hi Kyun?
Jo pehle ka model tha, jahan bade offshore teams multi-year contracts handle karti thin, woh ab badal raha hai. Ab client ko on-site expertise chahiye. Infosys apne FDE teams ko badha rahi hai, toh wahi HCLTech aur Coforge bhi in specialized roles ko scale kar rahe hain. Is move se market mein thoda mix reaction hai. Infosys ka market cap lagbhag $65 billion hai aur P/E ratio ~28 hai, jabki Wipro ka market cap $28 billion aur P/E ~18 hai. Investors thoda soch rahe hain ki yeh naya model kaise perform karega aur profitable hoga ya nahi. Wahi, Palantir Technologies, jo is model mein pioneer hai, uska market cap $25 billion aur P/E ~75 hai, jo potential dikhata hai par deep client integration ki zaroorat bhi batata hai.
IT Services Ka Naya Role
Yeh FDE wala role banane ke liye strong coding skills, strategy advice, aur client ko handle karne ki ability chahiye. Yeh large-scale, cost-focused offshore work se bilkul different hai. Is beech, OpenAI jaise AI-native companies bhi apna consulting services launch kar rahi hain, jo seedha purani IT firms ko challenge kar rahe hain. Banking aur healthcare jaise sectors mein AI integrate karne ki challenges ke saath yeh pressure IT firms ko apne business models aur talent hiring ko rethink karne par majboor kar raha hai. Coforge bhi apne FDE workforce ko badhane ka plan bana rahi hai.
Profitability Pe Kaisa Asar?
Yeh naya on-site model profit ke liye kai bade risks leke aaya hai. Sabse bada chakkar margin erosion ka hai. Offshore mein jo predictable aur profitable revenue milta tha, woh yahan kam ho sakta hai. On-site jaane mein travel, client systems integrate karna, aur top talent hire karne ka kharcha zyada hai. Isse jo margins pehle mast the, woh tight ho sakte hain. Saath hi, in specialized engineers ke liye competition bhi badh raha hai. Technical skill, business sense aur client skills ka mix rare hone ke karan hiring aur retention costs badh sakte hain, jisse service delivery slow ho sakti hai. Aur toh aur, OpenAI aur Palantir jaise AI-native disruptors toh seedha purane IT service providers ko bypass kar sakte hain, jisse implementation work ki value kam ho jayegi.
Future Kya Kehta Hai?
Analysts ko AI services ki demand aage bhi strong rehne ki umeed hai, aur on-site engineers enterprise AI adoption ke liye crucial honge. Par investors ye dekh rahe hain ki yeh firms long-term financial impact kaise manage karti hain aur kaise woh agile AI companies se compete karte hue in demanding roles ko scale karti hain. Industry ek crucial mod par hai, jahan AI ki practical demands ko pura karte hue profits grow karna hai.