![]() To better understand where startups still stand a chance, and where oligopoly dynamics and first-mover advantages are shaping up, we polled a select group of investors about the future of AI, which areas they see the most potential in, how multilingual LLMs and audio generation could develop, and the value of proprietary data. But a startup also needs to be ahead of the game more than the average company does, and in some areas of AI, “now” may already be “too late.” If your company isn’t experimenting with using AI, now is the time or your business will fall behind.”Īnd what’s true for the average company is even more true for startups: Failing to give at least some thought to AI would be a mistake. “While we’ve seen a bunch of ‘copilots for ’ that may not be here in a few years, the bigger risk is to ignore the opportunity. Karin Klein, a founding partner at Bloomberg Beta, thinks it’s better to run the race and risk failing than sit it out, since this is not a trend companies can afford to ignore. How likely is it that they will still be around in a few years? Still, we couldn’t help but be skeptical at the number of teams that pitched a version of “ChatGPT for X” at Y Combinator’s winter Demo Day earlier this year. “We are witnessing the perfect AI storm, where three major ingredients that evolved throughout the past 70 years have finally come together: Advanced algorithms, large-scale datasets, and access to powerful compute,” he said. Andre Retterath, a partner at Earlybird Venture Capital, feels several factors are working in tandem to generate this momentum. ![]() Still, we can’t deny that AI is enjoying unprecedented levels of attention, and companies across sectors around the world are busy pondering the impact it could have on their industry and beyond.ĭr. “We saw the earliest enterprise adoption in 2010,” she pointed out. What that investor, Rudina Seseri, a managing partner at Glasswing Ventures, means to say is that sophisticated technologies like AI and deep learning have been around for a long time now, and all this hype around AI is ignoring the simple fact that they have been in development for decades. When I mentioned “the rise of AI” in a recent email to investors, one of them sent me an interesting reply: “The ‘rise of AI’ is a bit of a misnomer.”
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