Artificial intelligence’s phenomenal rise over the past few months has given investors confidence in its ability to transform the sector. And companies are being forced to adjust their strategies. But some experts are looking at the other side of the story, as the valuations of AI-related entities continue to soar more than ever. “The most important thing I hear is a little hysteria meets a little confusion,” Builder AI founder Sachin Dev Duggal told Yahoo Finance’s Julie Hyman and her Ines Ferre. I’m here.
AI is “misunderstood” by businesses, says the person behind a platform that uses the technology to let people build software applications. Offering self-driving cars, highly intelligent chatbots, and the potential for large-scale data analytics, companies appear to be on the bandwagon. “It’s something new and everyone is talking about it.” It creates the same amount of confusion as to whether it is necessary.
Brett Winton, Chief Futurist at Co-Ark Investment Management, also joined the conversation on Yahoo Finance Live to discuss investment approaches around AI. “I think some of the really interesting places to invest are companies that can deploy assets in use and for those assets he can provide AI software,” he says.
Key video moments:
00:00:15: AI growth areas
00:01:55: Hysteria and Confusion
00:02:20: AI Customer Feedback
video transcript
Ines Ferre: We continue to hear quite a bit about AI as it relates to the cloud and to advertising from these big tech companies. Which areas of AI have the most potential and future growth potential?
Brett Winton: It’s clear that trillions of dollars will be spent on AI software over the course of this business cycle. And what’s interesting is that everyone seems to think Megacap technology is the place to go. Considering they were all in their own competitive swimlane, that might be the most dangerous place.
So we think some of the really interesting places to invest are in companies that can deploy end-use assets and provide AI software for those assets. Tesla, for example, has deployed the world’s largest robot. If the cars they sell can be turned into robo-taxis, the economic model will change. Given the pace of AI progress, Tesla has a better chance of economically leveraging AI than some of the underlying AI-focused tech companies that are starting to compete with each other in a very aggressive way. in a good position.
Julie Hyman: If Tesla hasn’t proven it, I’d argue it’s still a little big, at least not yet Brett. Because his company deals with his AI. Currently, at least on the public market, you can’t invest yet. It is a privately owned company.
But Sachin, I’m curious, there’s all this buzz about AI. What are you hearing from your customers and potential customers? For those unfamiliar, let him explain what you guys are doing in 20 seconds.
Sachin Dev Dougal: Oh no, thank you so much for having me. To be honest, I think the most important thing I hear is a little bit of hysteria meets a little bit of confusion. So our platform allows people to build software. We use AI in combination with human efforts. So think of it like Lego, reusable functionality that allows people to build all sorts of software applications.
What we’re hearing from customers is an element of excitement because it’s new and everyone is talking about it, but there’s an equal amount of confusion in terms of how to use it. Is it really new? Should they change the type of workers employed and working patterns? And overall it seems very misunderstood. Especially given that we are probably now in the AOL of the AI world, some people perceive that we are in AOL’s fiber optic world, or broadband.
