ഇന്ത്യയുടെ $1.7 Trillion AI സ്വപ്നം കുടുങ്ങിയത് എവിടെ?

94% in English. 45% in Malayalam. Same AI, same intelligence. Why? India dreams of becoming a $1.7 trillion AI economy by 2035. But the world's most powerful AI models fail by half a mark when asked in our languages. In this video, we explore: Why AI fails in Indian languages, the real challenge of India being a voice-first country, the problem of code-switching, a Brown University study that breaks safety filters, the incident where America's Anthropic's models were switched off, the growth of Sarvam AI, the 50x gap between India AI Mission vs Big Tech investment. Why does AI fail in Indian languages? India's AI language divide, voice-first AI, code-switching, Sarvam AI, India AI Mission and the future of India's $1.7 trillion AI economy — explained in Malayalam. Kerala's only Applied Ai Skills Mastery program with IIT Madras certification. Ai can be implemented in work and business through practical learning. You can participate in this program including Campus Immersion at IIT Madras. Only 20 Seats. If you are interested in knowing more, whatsapp using this link https://wa.me/919072616500. 00:00 Same AI, Two Intelligences 00:56 The real bottleneck of the $1.7T dream 02:15 Where does AI's knowledge come from? 03:20 India's real digital life 04:16 Why is what we speak tough for AI? 05:35 Malayalam, accents, noise, voice notes 06:07 Local problem, global companies 06:48 History says the gap will close 08:43 AI's Jio moment has not yet come 09:44 Will the safety filter break when the language changes? 10:40 AI inequality starts here 11:28 Market is ours, ownership is someone else 13:01 India's voice-first AI race 14:08 Chips, funding, and the scale mismatch 15:40 Kerala AI's first real test 16:27 Data gap: Wall or market? 17:13 What does India need next? #AI #Malayalam #india