AI Investment: Focus on Enabling Software Amidst Hyperscaler Spending

“Well, I guess, I mean, thank you for having me first. I guess the key events and development that we continue to watch and scrutinize are how much is going to be the cape expanding just to support this massive AI datas into a build out? And where are the use cases? Where are the return on investment? Where are you seeing in terms of generating and accelerating revenue groows?”

“Yeah, I mean that's actually one of the most important and then may be relatively underappreciated compared to hardware infustrate companies. When you think about AI spending, for Techi, we currently allocate about twenty to twenty five percent of the portfolio for these companies. These are basically referring to selective software and technology companies for example, cybersecurity vendors which are critical to maintain the AI systems seamlessly and safely as well and some of the infestral software companies including opser ability Software or the EDA, which is Electronic design automation software, which is critical set of tools than you need when you want to design and the manufacture electronic systems. Including some conductors.”

“Well, I can really comment specifically about one stuff, but that being said, what I can present instead is the definition of competitiveness for the traditional software are clearly changing in the phase of innovation from the AI labs. We have seen like major development and consequences and implications coming out of the cloud code beginning of this year. So that said, I think a lot of incumbent companies, it's critical for you to prove to the market not only from the offense but from the defense perspective that you're not going to be disrupted, but you can actually use this innovation to be accelerated. Your revenue line.”