๐'๐บ ๐๐ป๐ฑ๐ถ๐ฎ๐ป. 15 years ago, we were on the verge of becoming a ๐ ๐ฅ๐จ๐๐๐ฅ ๐ญ๐๐๐ก ๐ฉ๐จ๐ฐ๐๐ซ๐ก๐จ๐ฎ๐ฌ๐. Today, we have the worldโs cheapest mobile data, a massive digital economy, and a thriving IT sector. Yet, when it comes to ๐๐, ๐๐๐๐ฉ ๐ญ๐๐๐ก, ๐๐ง๐ ๐๐ซ๐๐๐ค๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐ข๐ง๐ง๐จ๐ฏ๐๐ญ๐ข๐จ๐ง๐ฌ, we are nowhere near the top. ๐ช๐ต๐? Because while our engineers build billion-dollar solutions for Silicon Valley, Indian startups are ๐ฌ๐ฎ๐๐๐จ๐๐๐ญ๐ข๐ง๐ ๐ฎ๐ง๐๐๐ซ ๐จ๐ฎ๐ญ๐๐๐ญ๐๐ ๐ซ๐๐ ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ง๐๐ฅ๐๐ฌ๐ฌ ๐๐จ๐ฆ๐ฉ๐ฅ๐ข๐๐ง๐๐, ๐๐ง๐ ๐ ๐ฅ๐๐๐ค ๐จ๐ ๐๐๐๐ฉ-๐ญ๐๐๐ก ๐ข๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ. Meanwhile: ๐บ๐ธ The US invests billions into AI, biotech, and space tech. ๐จ๐ณ China aggressively funds its deep-tech startups. But in India? ๐ ๐ฌ๐ญ๐๐ซ๐ญ๐ฎ๐ฉ ๐๐จ๐ฎ๐ง๐๐๐ซ ๐ฌ๐ฉ๐๐ง๐๐ฌ ๐ฆ๐จ๐ซ๐ ๐ญ๐ข๐ฆ๐ ๐๐ข๐ ๐ก๐ญ๐ข๐ง๐ ๐๐ฎ๐ซ๐๐๐ฎ๐๐ซ๐๐๐ฒ ๐ญ๐ก๐๐ง ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐ญ๐ก๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐. ๐ง๐ต๐ฒ ๐ฏ๐ฟ๐๐๐ฎ๐น ๐ฟ๐ฒ๐ฎ๐น๐ถ๐๐ & ๐ต๐ผ๐ ๐๐ป๐ฑ๐ถ๐ฎ ๐ฐ๐ฎ๐ป ๐๐๐ถ๐น๐น ๐๐ถ๐ป ๐๐ต๐ฒ ๐ฑ๐ฒ๐ฒ๐ฝ-๐๐ฒ๐ฐ๐ต ๐ฟ๐ฎ๐ฐ๐ฒ: ๐ญ. ๐๐ป๐ฑ๐ถ๐ฎ ๐๐ ๐๐ผ๐๐ถ๐ป๐ด ๐๐๐ ๐๐ฒ๐๐ ๐ ๐ถ๐ป๐ฑ๐ โข๐๐ซ๐๐ข๐ง ๐๐ซ๐๐ข๐ง ๐๐ญ ๐ ๐๐๐๐จ๐ซ๐ ๐๐ข๐ ๐ก Top Indian engineers arenโt just working for ๐๐จ๐จ๐ ๐ฅ๐, ๐๐ฉ๐๐ง๐๐, ๐๐ง๐ ๐๐๐ฌ๐ฅ๐โthey are leading them. Sundar Pichai (Google) Satya Nadella (Microsoft) Parag Agrawal (Ex-Twitter) Arvind Krishna (IBM) If they had started in India, they ๐ฐ๐จ๐ฎ๐ฅ๐โ๐ฏ๐ ๐ฌ๐ฉ๐๐ง๐ญ ๐ฆ๐จ๐ซ๐ ๐ญ๐ข๐ฆ๐ ๐๐ข๐ฅ๐ข๐ง๐ ๐ฉ๐๐ฉ๐๐ซ๐ฐ๐จ๐ซ๐ค ๐ญ๐ก๐๐ง ๐ข๐ง๐ง๐จ๐ฏ๐๐ญ๐ข๐ง๐ . ๐๐ก๐ ๐ฐ๐จ๐ซ๐ฅ๐โ๐ฌ ๐๐๐ฌ๐ญ ๐๐ง๐๐ข๐๐ง ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ฌ ๐๐ซ๐ ๐ง๐จ๐ญ ๐ข๐ง ๐๐ง๐๐ข๐. Thatโs our biggest loss. ๐ฎ. ๐ช๐ฒ ๐๐ฟ๐ฒ ๐๐ผ๐ป๐๐๐บ๐ฒ๐ฟ๐, ๐ก๐ผ๐ ๐๐ฟ๐ฒ๐ฎ๐๐ผ๐ฟ๐ India is one of the largest tech markets, yet we ๐ข๐ฆ๐ฉ๐จ๐ซ๐ญ: โข AI models from OpenAI & Google. โข Semiconductors from Taiwan & the US. โข Space tech from the West. We build ๐ฌ๐จ๐๐ญ๐ฐ๐๐ซ๐ ๐๐จ๐ซ ๐ญ๐ก๐ ๐ฐ๐จ๐ซ๐ฅ๐, but we donโt own the ๐๐๐๐ฉ-๐ญ๐๐๐ก ๐๐๐๐ค๐๐จ๐ง๐ of the future. The ๐ง๐๐ฑ๐ญ $๐๐๐ ๐ข๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ข๐๐ฌ will be: โข ๐๐ โ Automating entire economies. โข ๐ฆ๐ฒ๐บ๐ถ๐ฐ๐ผ๐ป๐ฑ๐๐ฐ๐๐ผ๐ฟ๐ โ Controlling global supply chains. โข ๐๐ถ๐ผ๐๐ฒ๐ฐ๐ต โ Reversing aging and curing diseases. โข ๐ฆ๐ฝ๐ฎ๐ฐ๐ฒ ๐ง๐ฒ๐ฐ๐ต โ Enabling interplanetary expansion. India is ๐ง๐จ๐ฐ๐ก๐๐ซ๐ ๐ข๐ง ๐ญ๐ก๐ ๐ซ๐๐๐. ๐ฏ. ๐ง๐ต๐ฒ ๐จ๐ฆ & ๐๐ต๐ถ๐ป๐ฎ ๐๐ฟ๐ฒ ๐ ๐ถ๐น๐ฒ๐ ๐๐ต๐ฒ๐ฎ๐ฑ ๐จ๐ฆ๐ ๐บ๐ธ $52B CHIPS Act to dominate semiconductor manufacturing. $200B AI & deep-tech funding annually. OpenAI, Tesla, SpaceX, DeepMind, Nvidia โ All leading in innovation. ๐๐ต๐ถ๐ป๐ฎ ๐จ๐ณ State-backed AI firms like Baidu, Tencent, and Alibaba. 100,000+ AI PhDs funded annually to build the next-gen workforce. Aggressive deep-tech expansion into space, biotech, and semiconductors. While India ๐๐๐๐๐ญ๐๐ฌ ๐ซ๐๐ ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง๐ฌ, the ๐๐ ๐๐ง๐ ๐๐ก๐ข๐ง๐ ๐๐ฎ๐ง๐ ๐ซ๐๐ฏ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ. ๐ฐ. ๐๐ป๐ฑ๐ถ๐ฎโ๐ ๐๐ฒ๐ฒ๐ฝ-๐ง๐ฒ๐ฐ๐ต ๐๐ฐ๐ผ๐๐๐๐๐ฒ๐บ ๐๐ ๐๐ฟ๐ผ๐ธ๐ฒ๐ป Despite having ๐ฐ๐จ๐ซ๐ฅ๐-๐๐ฅ๐๐ฌ๐ฌ ๐ญ๐๐ฅ๐๐ง๐ญ, we lack: โข Government-backed deep-tech funding. โข Fast-track policies for AI, biotech, and semiconductors. โข Incentives for founders to take big bets. Our startup ecosystem is optimized for ๐๐๐๐ & ๐๐ ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ, but ๐ง๐จ๐ญ ๐๐จ๐ซ ๐ฆ๐จ๐จ๐ง๐ฌ๐ก๐จ๐ญ ๐ข๐ง๐ง๐จ๐ฏ๐๐ญ๐ข๐จ๐ง. ๐ฑ. ๐๐ผ๐ ๐๐ป๐ฑ๐ถ๐ฎ ๐๐ฎ๐ป ๐ฆ๐๐ถ๐น๐น ๐ช๐ถ๐ป We need ๐ฆ๐๐ฌ๐ฌ๐ข๐ฏ๐ ๐๐๐ญ๐ข๐จ๐ง ๐ง๐จ๐ฐโnot in 10 years. โข ๐๐ฎ๐ญ ๐ญ๐ก๐ ๐๐๐ ๐๐๐ฉ๐ โ Make deep-tech startups exempt from excessive compliance. โข $๐๐๐+ ๐๐๐๐ฉ-๐๐๐๐ก ๐ ๐ฎ๐ง๐ โ Back AI, biotech, and semiconductor innovation at scale. โข ๐๐ซ๐๐๐ญ๐ ๐๐ง๐๐ข๐โ๐ฌ ๐๐ฉ๐๐ง๐๐ & ๐๐ฏ๐ข๐๐ข๐ โ Build national deep-tech champions. โข ๐๐๐ญ๐๐ข๐ง ๐๐๐ฅ๐๐ง๐ญ โ Make India the best place for innovators, not just service providers. India doesnโt need ๐๐ง๐จ๐ญ๐ก๐๐ซ ๐๐ ๐ซ๐๐ฏ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง. India needs a ๐๐๐๐ฉ-๐๐๐๐ก ๐๐๐ฏ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง. The next $๐๐๐ ๐ญ๐๐๐ก ๐ ๐ข๐๐ง๐ญ๐ฌ will be built in ๐๐, ๐ฌ๐๐ฆ๐ข๐๐จ๐ง๐๐ฎ๐๐ญ๐จ๐ซ๐ฌ, ๐๐ง๐ ๐๐ข๐จ๐ญ๐๐๐ก. ๐๐ข๐ฅ๐ฅ ๐๐ง๐๐ข๐ ๐ฅ๐๐๐โ๐จ๐ซ ๐ฅ๐๐ญ ๐จ๐ญ๐ก๐๐ซ๐ฌ ๐ญ๐๐ค๐ ๐ญ๐ก๐ ๐ฉ๐ซ๐ข๐ณ๐? I hope you've found this helpful. Follow Vishu Bheda for more detailed insights about indian startup ecosystem!
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