The chapter explores the positive effects of AI on investments by aiding in decision-making through quick access to information and insights. It discusses practical applications of AI in research, software troubleshooting, and providing recipes, while highlighting the significant costs associated with running AI programs. The conversation delves into the reasons behind high expenses in the AI industry, the challenges faced by AI applications, and the emergence of solutions to tackle data limitations.
In 2023, the AI industry spent an estimated $50 billion on Nvidia chips, with the purpose of training AI models. The payoff for all that spend, according to Sequoia Capital, is $3 billion in revenue. Is that a return worth bragging about?
RIcky Mulvey talks with Fool analyst Asit Sharma about how investors might think about companies’ AI spend. They also discuss:
- The rate of improvement for AI models
- How non-Mag 7 companies are using AI
- And one company that’s spending smartly on the new technology.
Take a look at the Gartner Hype Cycle.
Host: Ricky Mulvey
Guest: Asit Sharma
Producer: Mary Long
Engineer: Tim Sparks
Companies discussed: GOOG, MSFT, NVDA, ARM, AMD, ORCL
Learn more about your ad choices. Visit megaphone.fm/adchoices