Tony Blair Institute ki ek nayi report ne hila kar rakh diya hai. India ke government databases aaps mein connected nahi hain, jisse welfare spending mein **4% se 7%** ka nuksan ho raha hai aur ye India ke AI future ke liye bada khatra hai.
India ne digital infra toh khada kar liya, lekin ab ek naya challenge samne aa raha hai: Data Silos. Tony Blair Institute ki October 2026 ki report ke mutabik, Aadhaar aur UPI jaise systems toh success rahe, par inka data alag-alag departments mein band hai. Ye fragmentation na sirf efficiency kam kar raha hai, balki India ke AI ambitions ke liye ek bada roadblock ban gaya hai.
Paisa kahan beh raha hai?
Report ke hisab se, disconnected data management ki wajah se desh har saal 4-7% ka welfare leakage dekh raha hai. Simple shabdon mein, departments aaps mein baat nahi karte toh sarkari paisa galat haathon mein chala jata hai. Iska proof past drives mein dikha hai:
- PM-KISAN mein ineligible logon ko hatakar ₹9,000 Crore bachaye.
- Fraudulent LPG records hata kar ₹21,000 Crore aur ration cards se ₹10,000 Crore ki bachat hui hai.
AI ko chahiye better fuel
AI tabhi smart banta hai jab uska data solid ho. Agar data error-prone aur isolated raha, toh AI models bhi wahi galti bar-bar karenge. Ab time aa gaya hai 'Digital Scale' se 'Data Power' par shift hone ka. India ko ek aisa intelligence layer chahiye jahan sabhi sarkari systems aaps mein mil kar kaam kar sakein.
Kya hoga 'DPI 3.0' ka impact?
Experts suggest kar rahe hain 'State Data Balance Sheet' model ko adopt karna. Ye 'DPI 3.0' ki taraf ek kadam hoga. Isse public services better hongi, aur saath hi tech sector, SaaS companies aur data analytics firms ke liye demand badhegi. Investors ke liye ye track karna zaroori hai ki states apne data standards ko kaise unify karti hain, kyunki AI ki asli jeet isi baat par depend karegi.