“Many VCs do not even have a thesis on how to invest in deep tech,” said Vishnu Vardhan founder of Vizzhy and creator of Hanooman, referring to the country’s ill-informed deep tech investors.
Citing Zepto, Dunzo, and other startups running without profits for investors for a long time, Vardhan said: “People are happy losing money there, but they don’t want to lose money here [AI startups],” he added.
He also said India has created 125 unicorns, but nothing is great tech. “They are all business ideas and consumer apps."
Once, an investor asked Vardhan why he needed to set up a lab, talking about investing in the medical field. “Why don’t you treat 100 patients and tell me how much money you make?” the investor told Vardhan. After discussing it with his sister, Vardhan laughingly added that raising money in the US is better as Indian investors do not understand deep tech.
Amit Sheth also has similar thoughts. “VCs really don’t take as much risk as we expect/hope. Most VCs do not understand the technology in-depth and don’t take risks with undeveloped markets where revenue and payoff are further off,” he added. “It is easy for them to understand consumer tech; most run after the fad and buy into the hype."
Arjun Rao, partner at Speciale Invest, which invests in deep tech startups, believes otherwise. “You could say there’s less investment when compared to Silicon Valley, but that is because Silicon Valley has much deeper pockets."
Rao explained that a lot of it is because there is not yet a concrete exit strategy when it comes to generative AI as the investment scenario is still just 1-2 years old in India. “India is still a young ecosystem. It is an unfair comparison,” said Rao. “We are moving at a very fast pace, which is the most important thing so we can catch up.”
Moreover, the investors are increasingly wary as well. There have been several early AI unicorns which have disappeared or are running dry with fundings. The fate of Jasper, Stability AI, or the very famous Instoried debacle, have made the VCs tread with caution. However, there is clearly a need for deeper pockets as well to invest in actual AI startups and take bigger risks.
Gaurav Aggarwal Rajan Anandan Vinod Khosla
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